Atlassian Q2 2026 Atlassian Corp Earnings Call | AllMind AI Earnings | AllMind AI
Q2 2026 Atlassian Corp Earnings Call
Speaker #1: Good afternoon, and thank you for joining Atlassian's earnings conference call for the second quarter of fiscal year 2026. As a reminder, this conference call is being recorded.
Operator: Good afternoon, and thank you for joining Atlassian's earnings conference call for Q2 of fiscal year 2026. As a reminder, this conference call is being recorded and will be available for replay on the investor relations section of Atlassian's website following this call. I will now hand the call over to Martin Lamb, Atlassian's Head of Investor Relations.
Operator: Good afternoon, and thank you for joining Atlassian's earnings conference call for Q2 of fiscal year 2026. As a reminder, this conference call is being recorded and will be available for replay on the investor relations section of Atlassian's website following this call. I will now hand the call over to Martin Lamb, Atlassian's Head of Investor Relations.
Speaker #1: And we'll be available for replay on the investor relations section of Atlassian's website, following this call. I will now hand the call over to Martin Lam, Atlassian's head of investor
Speaker #1: relations.
Speaker #2: Welcome to Atlassian's second quarter fiscal year 2026 earnings call. Thank you for joining us today. On the call with me today, we have Atlassian's CEO and co-founder, Mike Cannon Brooks, and Chief Financial Officer, Joe Bins.
Martin Lam: Welcome to Atlassian's Q2 Fiscal Year 2026 Earnings Call. Thank you for joining us today. On the call with me today, we have Atlassian's CEO and Co-founder, Mike Cannon-Brookes, and Chief Financial Officer, Joe Binz. Earlier today, we published the shareholder letter and press release with our financial results and commentary for our Q2 of fiscal year 2026. The shareholder letter is available on the investor relations section of our website, where you will also find our other earnings-related materials, including the earnings press release and supplemental investor data sheet. As always, our shareholder letter contains management's insight and commentary for the quarter. So during the call today, we'll have brief opening remarks and then focus our time on Q&A. This call will include forward-looking statements. Forward-looking statements involve known and unknown risks, uncertainties, and assumptions.
Martin Lam: Welcome to Atlassian's Q2 Fiscal Year 2026 Earnings Call. Thank you for joining us today. On the call with me today, we have Atlassian's CEO and Co-founder, Mike Cannon-Brookes, and Chief Financial Officer, Joe Binz. Earlier today, we published the shareholder letter and press release with our financial results and commentary for our Q2 of fiscal year 2026. The shareholder letter is available on the investor relations section of our website, where you will also find our other earnings-related materials, including the earnings press release and supplemental investor data sheet. As always, our shareholder letter contains management's insight and commentary for the quarter. So during the call today, we'll have brief opening remarks and then focus our time on Q&A. This call will include forward-looking statements. Forward-looking statements involve known and unknown risks, uncertainties, and assumptions.
Speaker #2: Earlier today, we published the shareholder letter and press release with our financial results and commentary for our second quarter of The shareholder letter is available on the investor fiscal year 2026.
Speaker #2: relations section of our website, where you will also find our other earnings-related materials, including the earnings press release, and supplemental investor data sheets. As always, our shareholder letter contains management's insight and commentary for the quarter.
Speaker #2: the call today, we'll have brief opening remarks, So during and then focus our time on Q&A. This call will include forward-looking statements, forward-looking statements involve known and unknown risks on certainties and assumptions.
Martin Lam: If any such risks or uncertainties materialize or if any of the assumptions prove incorrect, our results could differ materially from the results expressed or implied by the forward-looking statements we make. You should not rely upon forward-looking statements as predictions of future events. Forward-looking statements represent our management's beliefs and assumptions only as of the date such statements are made, and we undertake no obligation to update or revise such statements should they change or cease to be current. Further information on these and other factors that could affect our business performance and financial results is included in filings we make with the Securities and Exchange Commission from time to time, including the section titled Risk Factors in our most recently filed annual and quarterly reports. During today's call, we will also discuss non-GAAP financial measures.
Martin Lam: If any such risks or uncertainties materialize or if any of the assumptions prove incorrect, our results could differ materially from the results expressed or implied by the forward-looking statements we make. You should not rely upon forward-looking statements as predictions of future events. Forward-looking statements represent our management's beliefs and assumptions only as of the date such statements are made, and we undertake no obligation to update or revise such statements should they change or cease to be current. Further information on these and other factors that could affect our business performance and financial results is included in filings we make with the Securities and Exchange Commission from time to time, including the section titled Risk Factors in our most recently filed annual and quarterly reports. During today's call, we will also discuss non-GAAP financial measures.
Speaker #2: or uncertainties materialize, or if any of the If any such risks assumptions prove incorrect, our results could differ materially from the results expressed or implied by the forward-looking statements we make.
Speaker #2: forward-looking statements as predictions of future You should not rely upon events. Forward-looking statements represent our management's beliefs and assumptions only as of the date such statements are made, and we undertake no obligation to update or revise such statements, should they change or cease to be current.
Speaker #2: information on these and other factors that could affect our business performance Further and financial results is included in filings we make with the securities and exchange commission from time to time.
Speaker #2: Including the section titled Risk Factors in our most recently filed annual and quarterly reports. During today's call, we will also discuss non-GAAP financial measures.
Speaker #2: These non-GAAP financial measures are in addition to and are not a substitute for or superior to measures of financial performance prepared in accordance with GAAP.
Martin Lam: These non-GAAP financial measures are in addition to and are not a substitute for or superior to measures of financial performance prepared in accordance with GAAP. A reconciliation between GAAP and non-GAAP financial measures is available in our shareholder letter, earnings release, and investor data sheet on the investor relations section of our website. We'd like to allow as many of you to participate in Q&A as possible, so out of respect for others on the call, we'll take one question at a time. With that, I'll turn the call over to Mike for opening remarks.
Martin Lam: These non-GAAP financial measures are in addition to and are not a substitute for or superior to measures of financial performance prepared in accordance with GAAP. A reconciliation between GAAP and non-GAAP financial measures is available in our shareholder letter, earnings release, and investor data sheet on the investor relations section of our website. We'd like to allow as many of you to participate in Q&A as possible, so out of respect for others on the call, we'll take one question at a time. With that, I'll turn the call over to Mike for opening remarks.
Speaker #2: between GAAP and non-GAAP financial measures A reconciliation is available in our shareholder letter, earnings release, and investor data sheet on the investor relations section of our website.
Speaker #2: We'd like to allow as many of you to participate in Q&A as possible. So out of respect for others on the call, we'll take one question at a time.
Speaker #2: With that, I'll turn the call over to Mike for opening remarks.
Speaker #3: Thank you all for joining us today. As you've already read in our shareholder letter, we closed out Q2 with very strong enterprise sales execution and incredible momentum across our business.
Mike Cannon-Brookes: Thank you all for joining us today. As you've already read in our shareholder letter, we closed out Q2 with very strong enterprise sales execution and incredible momentum across our business. We surpassed $6 billion in annual run rate revenue, delivered our first ever $1 billion cloud revenue quarter, up 26% year-over-year, and grew our RPO 44% year-over-year to $3.8 billion. We have strong momentum across our enterprise, AI, and system of work transformations, and you can see this in our numbers. Customers are choosing us for their future in bigger ways and bigger numbers than ever before. Enterprises like Cisco, Expedia, Reddit, and Synchrony Financial rely on Atlassian to power their most critical business processes and workflows. Rovo surged past 5 million monthly active users of our AI capabilities.
Mike Cannon-Brookes: Thank you all for joining us today. As you've already read in our shareholder letter, we closed out Q2 with very strong enterprise sales execution and incredible momentum across our business. We surpassed $6 billion in annual run rate revenue, delivered our first ever $1 billion cloud revenue quarter, up 26% year-over-year, and grew our RPO 44% year-over-year to $3.8 billion. We have strong momentum across our enterprise, AI, and system of work transformations, and you can see this in our numbers. Customers are choosing us for their future in bigger ways and bigger numbers than ever before. Enterprises like Cisco, Expedia, Reddit, and Synchrony Financial rely on Atlassian to power their most critical business processes and workflows. Rovo surged past 5 million monthly active users of our AI capabilities.
Speaker #3: We surpassed $6 billion in annual run-rate revenue, delivered our first-ever $1 billion cloud revenue quarter year, and grew our up 26% year over RPO 44% year over year to 3.8 billion enterprise, AI, and system of dollars.
Speaker #3: work transformations, and you can see this We have strong momentum across our in our numbers. Customers are choosing us for their future, in bigger ways and bigger numbers than ever before.
Speaker #3: Cisco, Expedia, Reddit, and Synchrony Financial rely on Atlassian to Enterprises like power their most critical business processes and Rovo surged past $5 million workflows.
Speaker #3: monthly active users of our AI capabilities. We're seeing firsthand every day how AI is transforming the way that work gets done. And we are directly benefiting as a business.
Mike Cannon-Brookes: We're seeing firsthand every day how AI is transforming the way that work gets done, and we are directly benefiting as a business. When we look at the thousands of customers in our software teams using AI code generation tools, we found that they create 5% more tasks in Jira, have 5% higher monthly active users, and expand their Jira seats 5% faster than those who don't use these AI coding tools. As I've said before, AI is the best thing to happen to Atlassian, and the results we're seeing today are no accident. As a long-term-focused company, we're now benefiting from years of thoughtful investment across product, R&D, and GTM, which have positioned us to capture this moment. These investments are creating what we believe is a truly differentiated customer experience.
Mike Cannon-Brookes: We're seeing firsthand every day how AI is transforming the way that work gets done, and we are directly benefiting as a business. When we look at the thousands of customers in our software teams using AI code generation tools, we found that they create 5% more tasks in Jira, have 5% higher monthly active users, and expand their Jira seats 5% faster than those who don't use these AI coding tools. As I've said before, AI is the best thing to happen to Atlassian, and the results we're seeing today are no accident. As a long-term-focused company, we're now benefiting from years of thoughtful investment across product, R&D, and GTM, which have positioned us to capture this moment. These investments are creating what we believe is a truly differentiated customer experience.
Speaker #3: When we look at the thousands of customers in our software teams using AI code generation tools, we found that they create 5% more tasks in Jira, have 5% higher monthly active users, and expand their Jira seats 5% faster than those who don't use these AI coding tools.
Speaker #3: As I've said before, AI is the best thing to happen to Atlassian. And the results we're seeing today are no accident. As a long-term focus company, we're now benefiting from years of thoughtful investment across product, R&D, and GTM, which have positioned us to capture this moment.
Speaker #3: These investments are creating what we believe is a truly differentiated customer experience. First, the data and domain expertise living inside our teamwork graph, which is now well more than $100 billion objects and connections across first and third-party tools.
Mike Cannon-Brookes: First, the data and domain expertise living inside our teamwork graph, which is now well more than 100 billion objects and connections across first- and third-party tools, enables Rovo to deliver real business value that's context-aware and actionable for customers across their search, chat, and agentic experiences. Second, our decade-long investments in enterprise-grade security, data governance, permissioning capabilities, and compliance enable every organization to securely move work forward at scale while deploying these fantastic new AI capabilities with the trust that they need. We provide a system of work built on deep integration into customer workflows with that compliance, security, and support that enterprises trust built in. Lastly, our unique distribution engine enables us to seamlessly deliver those incredible experiences to over 350,000 customers, including more than 80% of the Fortune 500 and 60% of the Forbes AI 50.
Mike Cannon-Brookes: First, the data and domain expertise living inside our teamwork graph, which is now well more than 100 billion objects and connections across first- and third-party tools, enables Rovo to deliver real business value that's context-aware and actionable for customers across their search, chat, and agentic experiences. Second, our decade-long investments in enterprise-grade security, data governance, permissioning capabilities, and compliance enable every organization to securely move work forward at scale while deploying these fantastic new AI capabilities with the trust that they need. We provide a system of work built on deep integration into customer workflows with that compliance, security, and support that enterprises trust built in. Lastly, our unique distribution engine enables us to seamlessly deliver those incredible experiences to over 350,000 customers, including more than 80% of the Fortune 500 and 60% of the Forbes AI 50.
Speaker #3: Enables Rovo to deliver real business value that's context-aware and actionable for customers across their search, chat, and agentic experiences. Second, our decade-long investments in enterprise-grade security, data governance, permissioning capabilities, and compliance enable every organization to securely move work forward at scale, while deploying these fantastic new AI capabilities with the trust that they need.
Speaker #3: We provide a system of work built on deep integration into customer workflows, with that compliance, security, and support that enterprises trust built in. Lastly, our unique distribution engine enables us to seamlessly deliver 350,000 customers, those incredible experiences to over including more than 80% of the Fortune 500 and 60% of the Forbes AI 50.
Speaker #3: Customers are realizing the value of our unified system of work and want to continue to partner more closely with us than ever before. And all of this is driving our results.
Mike Cannon-Brookes: Customers are realizing the value of our unified system of work and want to continue to partner more closely with us than ever before, and all of this is driving our results. We closed a record number of deals greater than $1 million ACV in Q2, nearly doubling year-over-year again, as enterprises are choosing to standardize on the Atlassian system of work. In less than three quarters, more than 1,000 customers have upgraded to our main AI monetization driver, the Teamwork Collection, purchasing more than 1 million seats to get the best AI platform and many more AI credits for their agents. As I look across our business, two things are clear: We've never been more of a strategic partner to the biggest businesses in the world, empowering their AI and future of work transformations, and our momentum is continuing to grow.
Mike Cannon-Brookes: Customers are realizing the value of our unified system of work and want to continue to partner more closely with us than ever before, and all of this is driving our results. We closed a record number of deals greater than $1 million ACV in Q2, nearly doubling year-over-year again, as enterprises are choosing to standardize on the Atlassian system of work. In less than three quarters, more than 1,000 customers have upgraded to our main AI monetization driver, the Teamwork Collection, purchasing more than 1 million seats to get the best AI platform and many more AI credits for their agents. As I look across our business, two things are clear: We've never been more of a strategic partner to the biggest businesses in the world, empowering their AI and future of work transformations, and our momentum is continuing to grow.
Speaker #3: We closed a record number of deals greater than $1 million ACV in Q2. Nearly doubling year over year again. As enterprises are choosing to standardize on the Atlassian system of work.
Speaker #3: In less than three quarters, more than 1,000 customers have upgraded to our main AI monetization driver, the teamwork collection, purchasing more than $1 million seats, to get the best AI platform and many more AI credits for their agents.
Speaker #3: As I look across our business, two things are clear. We've never been more of a strategic partner to the biggest businesses in the world, empowering their AI and future of work transformations.
Speaker #3: And our momentum is continuing to grow. This gives us confidence in our road ahead and our long-term opportunity. We are truly transforming how work gets done and solving the toughest human-AI collaboration challenges for our customers, and we're doing it every day.
Mike Cannon-Brookes: This gives us confidence in our road ahead and our long-term opportunity. We are truly transforming how work gets done and solving the toughest human AI collaboration challenges for our customers, and we're doing it every day. We're pushing ahead with strong conviction, and I could not be more bullish about the massive opportunities in front of us as we advance our mission to unleash the potential of every team. With that, I'll pass over to the operator for Q&A.
Mike Cannon-Brookes: This gives us confidence in our road ahead and our long-term opportunity. We are truly transforming how work gets done and solving the toughest human AI collaboration challenges for our customers, and we're doing it every day. We're pushing ahead with strong conviction, and I could not be more bullish about the massive opportunities in front of us as we advance our mission to unleash the potential of every team. With that, I'll pass over to the operator for Q&A.
Speaker #3: We're pushing ahead with strong conviction, and I could not be more bullish about the massive opportunities in front of us, as we advance our mission to unleash the potential of every team.
Speaker #3: With that, I'll pass over to the operator for Q&A.
Speaker #4: We will now begin the question and answer session. If you have a question, please press star followed by one on your phone. If you'd like to withdraw from the queue, please press star followed by two.
Operator: We will now begin the question and answer session. If you have a question, please press star followed by the one on your phone. If you'd like to withdraw from the queue, please press star followed by the two. Your first question comes from Rob Oliver from Baird. Please go ahead.
Operator: We will now begin the question and answer session. If you have a question, please press star followed by the one on your phone. If you'd like to withdraw from the queue, please press star followed by the two. Your first question comes from Rob Oliver from Baird. Please go ahead.
Speaker #4: Your first question comes from Rob Oliver from Baird. Please go ahead.
Rob Oliver: Great, thank you. Good afternoon. Thanks, Mike. Appreciate the clarity and conviction in the letter. You know, obviously a ton of fear in the market right now on software, so I thought I'd address it by asking you about some of the conversations you're having with your buyers right now. Clearly, the numbers show, whether it be cloud NRR, you know, million-dollar deals, Rovo adoption, that existing customers are expanding with you, and in the letter, you called out some of those reasons, Cisco around data, Expedia around, you know, customer familiarity. But, you know, can you talk about, you know, how those conversations have changed, if at all, recently with your customers, and what's driving this motion towards Atlassian right now, and if AI is at all changing those conversations? Thanks.
Rob Oliver: Great, thank you. Good afternoon. Thanks, Mike. Appreciate the clarity and conviction in the letter. You know, obviously a ton of fear in the market right now on software, so I thought I'd address it by asking you about some of the conversations you're having with your buyers right now. Clearly, the numbers show, whether it be cloud NRR, you know, million-dollar deals, Rovo adoption, that existing customers are expanding with you, and in the letter, you called out some of those reasons, Cisco around data, Expedia around, you know, customer familiarity. But, you know, can you talk about, you know, how those conversations have changed, if at all, recently with your customers, and what's driving this motion towards Atlassian right now, and if AI is at all changing those conversations? Thanks.
Speaker #5: Thank you. Good afternoon. Great. Thanks, Mike. Appreciate the clarity and conviction in the letter. Obviously, a ton of fear in the market right now on software.
Speaker #5: So I thought I'd address it by asking you about some of the conversations you're having with your buyers right now. Clearly, the numbers show, whether it be cloud NRR, $1 million existing customers are expanding with you.
Speaker #5: called out some of those reasons, Cisco And in the letter you around data, Expedia around customer familiarity. But can you talk about how those conversations have changed, if at all, recently with your customers?
Speaker #5: And what's driving this motion towards Atlassian right now? And if AI, is it all changing those conversations?
Speaker #5: Thanks. Thanks, Rob.
Mike Cannon-Brookes: Thanks, Rob. Appreciate the kind words in there. Well, customer conversations have changed a lot over the last year. There's no doubt about that, right? I would say all of those changes have been incredibly positive for us. The customer conversations we're having are at a higher level than we've ever been having them before, and those customers are looking for strategic partners to help them through AI. They continue to appreciate our delivery of that AI value to them inside their processes and workflows. They will call this out directly. We get called out directly that AI capabilities are the reasons people are moving to the Teamwork Collection. They're the reasons that people are upgrading to the cloud. They're the reasons they see our R&D investments. They use our chat capabilities, our agents, in millions of workflows now per month.
Mike Cannon-Brookes: Thanks, Rob. Appreciate the kind words in there. Well, customer conversations have changed a lot over the last year. There's no doubt about that, right? I would say all of those changes have been incredibly positive for us. The customer conversations we're having are at a higher level than we've ever been having them before, and those customers are looking for strategic partners to help them through AI. They continue to appreciate our delivery of that AI value to them inside their processes and workflows. They will call this out directly. We get called out directly that AI capabilities are the reasons people are moving to the Teamwork Collection. They're the reasons that people are upgrading to the cloud. They're the reasons they see our R&D investments. They use our chat capabilities, our agents, in millions of workflows now per month.
Speaker #6: I appreciate the kind words in there. The customer conversations have changed a lot over the last year. There's no doubt about that, right? And I would say all of those changes have been incredibly positive for us.
Speaker #6: The customer conversations we're having are at a higher level than we've ever been having them before. And those customers are looking for strategic partners to help them through AI.
Speaker #6: They continue to appreciate our delivery of that AI value to them. Inside their processes and workflows, they will call this out directly. We get called out directly that AI capabilities are the reasons people are moving to the teamwork collection.
Speaker #6: people are upgrading to the cloud. They're They're the reasons that the reasons they see our R&D investments. They use our chat capabilities, our agents, in millions of workflows now per month.
Speaker #6: They're able to deploy them, get them up and running, and get value from them quicker. We have so many customer quotes and examples where they see this, right?
Mike Cannon-Brookes: They're able to deploy them, get them up and running, and get value from them quicker. We have so many customer quotes and examples where they see this, right? We've long put software in our customers' hands for them to use and deliver on. That, in return, makes those customer conversations about longer term commitments, right? As you pointed out, you see that in our numbers, right? Our RPO at 44%, growing, accelerating for the third quarter in a row, is a really fantastic vote of confidence, I believe, from those customers, right? Those are tens of thousands of seats signing multi-year deals that are voting on not the platform for 2026 for them in AI, but the platform in 2027, 2028, and 2029. And those customers are seeing what we're doing, seeing our progress, and voting with their feet.
Mike Cannon-Brookes: They're able to deploy them, get them up and running, and get value from them quicker. We have so many customer quotes and examples where they see this, right? We've long put software in our customers' hands for them to use and deliver on. That, in return, makes those customer conversations about longer term commitments, right? As you pointed out, you see that in our numbers, right? Our RPO at 44%, growing, accelerating for the third quarter in a row, is a really fantastic vote of confidence, I believe, from those customers, right? Those are tens of thousands of seats signing multi-year deals that are voting on not the platform for 2026 for them in AI, but the platform in 2027, 2028, and 2029. And those customers are seeing what we're doing, seeing our progress, and voting with their feet.
Speaker #6: customers' hands for them to use and deliver We've long put software in our on. That in return makes those customer conversations about longer-term commitments, right?
Speaker #6: As you pointed out, you see that in our numbers, right? Our RPO at 44%, growing accelerating for the third quarter in a row. Is a really fantastic vote of confidence, I believe, from those customers, right?
Speaker #6: Those are tens of thousands of seats signing multi-year deals. That are voting on not the platform for 2026 for them in AI, but the platform in 27, 28, and 29.
Speaker #6: And those customers are seeing what we're doing, seeing our progress, and voting with their feet. There's a lot, obviously, of noise out there in the market, right?
Mike Cannon-Brookes: There's a lot, obviously, of noise out there in the market, right? As I said in my shareholder letter, there's no doubt about that. But when I talk to customers, they believe that we're helping them through a lot of that noise. We're delivering for their software teams, their business teams, and their business processes, and they're able to get efficiencies and improvements today. And I would say they want all the same things they've wanted in the past. Sometimes, these types of times when there's a lot of noise, right? We can forget the fundamentals, right? Enterprise customers want a platform they can trust. They need it to be compliant and secure and all the things they've always needed. They want great ROI. They want efficiency in their business.
Mike Cannon-Brookes: There's a lot, obviously, of noise out there in the market, right? As I said in my shareholder letter, there's no doubt about that. But when I talk to customers, they believe that we're helping them through a lot of that noise. We're delivering for their software teams, their business teams, and their business processes, and they're able to get efficiencies and improvements today. And I would say they want all the same things they've wanted in the past. Sometimes, these types of times when there's a lot of noise, right? We can forget the fundamentals, right? Enterprise customers want a platform they can trust. They need it to be compliant and secure and all the things they've always needed. They want great ROI. They want efficiency in their business.
Speaker #6: As I said in my shareholder letter, there's no doubt about that. But when I talk to customers, they believe that we're helping them through a lot of that noise.
Speaker #6: We're delivering for their software teams, their business teams, and their business process, and they're able to get efficiencies and improvements today and I would say they want all the same things they've wanted in the past.
Speaker #6: Sometimes these types of times when there's a lot of noise, right? We can forget the fundamentals, right? Enterprise customers want a platform they can trust.
Speaker #6: They need it to be compliant and secure and all the things they've always needed. They want great ROI. They want efficiency in their business.
Speaker #6: AI enables us to do that better than we ever have before in our domain of helping their teams to collaborate and be better. I think we're seeing it in all of our numbers across the board.
Mike Cannon-Brookes: AI enables us to do that better than we ever have before in our domain of helping their teams to collaborate and be better. I think we're seeing it in all of our numbers across the board. So again, that's where you hear us feeling incredibly bullish, right, about what we're doing each quarter and seeing that real acceleration.
Mike Cannon-Brookes: AI enables us to do that better than we ever have before in our domain of helping their teams to collaborate and be better. I think we're seeing it in all of our numbers across the board. So again, that's where you hear us feeling incredibly bullish, right, about what we're doing each quarter and seeing that real acceleration.
Speaker #6: So again, that's where you hear us feeling incredibly bullish, right, about what we're doing each quarter and seeing that real
Speaker #4: Your next question comes acceleration. from Keith Weiss from Morgan Stanley. Please go
Operator: Your next question comes from Keith Weiss, from Morgan Stanley. Please go ahead.
Operator: Your next question comes from Keith Weiss, from Morgan Stanley. Please go ahead.
Speaker #4: ahead. Yeah, this is Sanjit Singh
Sanjit Singh: Yeah, this is Sanjit Singh for Keith Weiss, and congrats on the billion-dollar quarter in Cloud and the progress with Teamwork Collection. It's really nice to see. Wanted to follow up on Rob's question in terms of kind of the reality on the ground, in terms of what the market is, you know, sort of asking and calling for versus what customers want, and this is specifically around pricing. Like, I'd love to hear your take on where does pricing go to and evolve over the next one to three years? Market seems concerned on seat-based model, seat-based pricing. Customers probably like seat-based pricing, and so what's, where do you think this all shakes out in terms of where we're headed, in terms of the pricing monetization story for Atlassian?
Sanjit Singh: Yeah, this is Sanjit Singh for Keith Weiss, and congrats on the billion-dollar quarter in Cloud and the progress with Teamwork Collection. It's really nice to see. Wanted to follow up on Rob's question in terms of kind of the reality on the ground, in terms of what the market is, you know, sort of asking and calling for versus what customers want, and this is specifically around pricing. Like, I'd love to hear your take on where does pricing go to and evolve over the next one to three years? Market seems concerned on seat-based model, seat-based pricing. Customers probably like seat-based pricing, and so what's, where do you think this all shakes out in terms of where we're headed, in terms of the pricing monetization story for Atlassian?
Speaker #7: for Keith Weiss. And congrats on the billion-dollar quarter in cloud and the progress with teamwork collection. It's really nice to see one of the follow-up on Rob's question in terms of kind of the reality on the ground in terms of what the market is sort of asking and calling for versus what customers want.
Speaker #7: And this is specifically around pricing. And Mike, I'd love to hear your take on where does pricing go to and evolve. Over the next one to three years, market seems concerned on seat-based model, seat-based pricing.
Speaker #7: Customers probably like seat-based pricing. And so what do you think this all shakes out in terms of where we're headed in terms of the pricing monetization story for Atlassian?
Speaker #6: Sure. Thanks. Sanjit, look, a totally valid and important question. Let me start with the numbers that you can see, and then I'll talk to our philosophy.
Mike Cannon-Brookes: Sure. Thanks, Sanjit. Look, totally valid and important question. Let me start with the numbers that you can see, and then I'll talk to our philosophy. You can see in everything from the RPO to our NRR number, again, 120%, ticking up for the third quarter, and our 120%+, north of 120%, and ticking up for the third quarter in a row. The pricing we currently have is delivering, right, for the customers. They are opting for more of what we are doing. Price is not a huge part of any of these conversations that we're having with our customers. It always is. They wanna get good value, they wanna understand, but we're a very good value option, we always have been, and we continue to be so.
Mike Cannon-Brookes: Sure. Thanks, Sanjit. Look, totally valid and important question. Let me start with the numbers that you can see, and then I'll talk to our philosophy. You can see in everything from the RPO to our NRR number, again, 120%, ticking up for the third quarter, and our 120%+, north of 120%, and ticking up for the third quarter in a row. The pricing we currently have is delivering, right, for the customers. They are opting for more of what we are doing. Price is not a huge part of any of these conversations that we're having with our customers. It always is. They wanna get good value, they wanna understand, but we're a very good value option, we always have been, and we continue to be so.
Speaker #6: You can see in everything from the RPO to our NRR number, again, 120% ticking up for the third quarter and are 120% plus north of 120%.
Speaker #6: And ticking up for the third quarter in a row. The pricing we currently have is delivering, right, for the customers. They are opting for more of what we are doing.
Speaker #6: And price is not a huge part of any of these conversations that we're having with our customers. It always is. They want to get good value.
Speaker #6: They want to understand. But we're a very good value option. We always have been, and we continue to be so. The conversations around consumption-based pricing and pricing models changing—again, our philosophy has always been to deliver the best value we can, in the overall ROI sense, to our customers.
Mike Cannon-Brookes: The conversations around consumption-based pricing and, pricing models changing, again, our philosophy has always been to deliver the best value we can in the overall ROI sense to our customers. It is our job, I believe, as an application vendor, not an infrastructure vendor, but an application vendor, a platform vendor, to manage the costs of everything that we have in the envelope of what the customers pay. We've done that in storage, we've done that in network costs, we're now doing it in AI costs. And the customer's preferred method of payment is still an understandable, predictable pricing pattern, which tends to be a seat-based model in our category of software in terms of delivering collaboration tools for teams of people. How many people are collaborating is a best proxy at the moment for value, and I believe continues to be so.
Mike Cannon-Brookes: The conversations around consumption-based pricing and, pricing models changing, again, our philosophy has always been to deliver the best value we can in the overall ROI sense to our customers. It is our job, I believe, as an application vendor, not an infrastructure vendor, but an application vendor, a platform vendor, to manage the costs of everything that we have in the envelope of what the customers pay. We've done that in storage, we've done that in network costs, we're now doing it in AI costs. And the customer's preferred method of payment is still an understandable, predictable pricing pattern, which tends to be a seat-based model in our category of software in terms of delivering collaboration tools for teams of people. How many people are collaborating is a best proxy at the moment for value, and I believe continues to be so.
Speaker #6: It is our job, I believe, as an application vendor, not an infrastructure vendor, but an application vendor, a platform vendor, to manage the costs of everything that we have in the envelopes of what the customers pay.
Speaker #6: We've done that in storage. We've done that in network costs. We're now doing it in AI costs. And the customers preferred method of payment is still an understandable, predictable pricing pattern, which tends to be a seat-based model in our category of software in terms of delivering collaboration tools for teams of people.
Speaker #6: How many people are collaborating is a best proxy at the moment for value. And I believe continues to be so. You could worry about our AI costs.
Mike Cannon-Brookes: You could worry about our AI costs. Again, you can see in our gross margin improvements for, I think, probably the third or fourth quarter, don't quote me on that. Continuing to improve our gross margin, that we're able to deliver those 5 million Rovo seats and continue to improve gross margin. That's a huge achievement on behalf of our engineering teams, but it shows that we can manage those AI costs inside for the vast majority of customers. Now, we do have consumption-based offerings, as you can see, everything from Forge to extra AI credits if you go over the limits, to Bitbucket Pipelines. Like, there are consumption-based offerings, so we are very clearly in a hybrid model of that, but we do try to make our pricing philosophy what is best for those customers, right?
Mike Cannon-Brookes: You could worry about our AI costs. Again, you can see in our gross margin improvements for, I think, probably the third or fourth quarter, don't quote me on that. Continuing to improve our gross margin, that we're able to deliver those 5 million Rovo seats and continue to improve gross margin. That's a huge achievement on behalf of our engineering teams, but it shows that we can manage those AI costs inside for the vast majority of customers. Now, we do have consumption-based offerings, as you can see, everything from Forge to extra AI credits if you go over the limits, to Bitbucket Pipelines. Like, there are consumption-based offerings, so we are very clearly in a hybrid model of that, but we do try to make our pricing philosophy what is best for those customers, right?
Speaker #6: Again, you can see in our gross margin improvements for, I think, probably the third or fourth quarter—don't quote me on that—continuing to improve our gross margin, that we're able to deliver those 5 million Revo seats and continue to improve gross margin.
Speaker #6: That's a huge achievement on behalf of our engineering teams, but it shows that we can manage those AI costs inside for the vast majority of customers.
Speaker #6: Now, we do have consumption-based Everything from Forge, to extra AI credits if you go over the limits, to Bitbucket pipelines. There are consumption-based offerings.
Speaker #6: So, we're very clearly in a hybrid model of that, but we do try to make our pricing philosophy what is best for those customers, right?
Speaker #6: They want to buy their applications. Not on a consumption basis. But on a familiar, predictable basis. It goes into the total cost of ownership that they look at for that equation.
Mike Cannon-Brookes: They wanna buy their applications, not on a consumption basis, but on a familiar, predictable basis. It goes into the total cost of ownership that they look at for that equation. So we feel really good about where we're seeing it. Lastly, you would see the, you know, the 1 million seats we've passed in Teamwork Collection in under 9 months is a huge achievement on behalf of a lot of teams at Atlassian. That has a predictable pricing pattern that is there. That's gone from zero to 1 million seats in under 9 months on this pricing pattern, and those are customers who are upgrading. Why? Because of the pricing philosophy, but also because of what the Teamwork Collection gives them as an AI platform, and it gives them significantly more AI credits, right?
Mike Cannon-Brookes: They wanna buy their applications, not on a consumption basis, but on a familiar, predictable basis. It goes into the total cost of ownership that they look at for that equation. So we feel really good about where we're seeing it. Lastly, you would see the, you know, the 1 million seats we've passed in Teamwork Collection in under 9 months is a huge achievement on behalf of a lot of teams at Atlassian. That has a predictable pricing pattern that is there. That's gone from zero to 1 million seats in under 9 months on this pricing pattern, and those are customers who are upgrading. Why? Because of the pricing philosophy, but also because of what the Teamwork Collection gives them as an AI platform, and it gives them significantly more AI credits, right?
Speaker #6: So we feel really good about where we're seeing it. Lastly, you would see the million seats we've passed in teamwork collection in under nine months is a huge achievement on behalf of a lot of teams at Atlassian.
Speaker #6: a predictable pricing pattern that is That has there. That's gone from zero to a million seats in under nine months. On this pricing pattern.
Speaker #6: Why? Because of the pricing And those are customers who are upgrading. philosophy, but also because of what the teamwork collection gives them as an AI platform.
Speaker #6: And it gives them significantly more AI credits, right? So when they look at that upgrade, AI's list is one of the reasons, but it's baked into the pricing plan that we have on teamwork collection.
Mike Cannon-Brookes: So when they look at that upgrade, AI is listed as one of the reasons, but it's baked into the pricing plan that we have on Teamwork Collection, and I think at 1 million seats, we'd argue it's working really well. It's still early in that business.
Mike Cannon-Brookes: So when they look at that upgrade, AI is listed as one of the reasons, but it's baked into the pricing plan that we have on Teamwork Collection, and I think at 1 million seats, we'd argue it's working really well. It's still early in that business.
Speaker #6: And I think at a million seats, we'd argue it's working really well. It's still early in that business.
Speaker #4: Your Moskowitz from Mizuho. Please go ahead, next question comes from Greg Greg.
Operator: Your next question comes from Greg Moskowitz from Mizuho. Please go ahead, Greg.
Operator: Your next question comes from Greg Moskowitz from Mizuho. Please go ahead, Greg.
Gregg Moskowitz: Thank you for taking the question. Well, we are in a software twilight zone of sorts, and when a company whose stock is down almost 40% in 5 weeks on no company-specific news, just reports a strong quarter, raises guidance, and makes a significant commitment to accelerate the buyback, and yet the shares are right now indicated down and lower or an additional 10%. So I really do sympathize with how frustrated you all must be. Now, as to my question, it's for you, Mike, and, you know, what are your thoughts on the medium to longer term prospects of Anthropic's Cowork as a competitive alternative to Jira?
Speaker #8: Thank you for taking the question. Well, we are in a software twilight zone of sorts. And when a company whose stock is down almost 40% and five weeks on no company-specific news just reports a strong quarter, raises buyback, and yet the shares are right now to accelerate the indicated down a lower or an additional 10%.
Gregg Moskowitz: Thank you for taking the question. Well, we are in a software twilight zone of sorts, and when a company whose stock is down almost 40% in 5 weeks on no company-specific news, just reports a strong quarter, raises guidance, and makes a significant commitment to accelerate the buyback, and yet the shares are right now indicated down and lower or an additional 10%. So I really do sympathize with how frustrated you all must be. Now, as to my question, it's for you, Mike, and, you know, what are your thoughts on the medium to longer term prospects of Anthropic's Cowork as a competitive alternative to Jira?
Speaker #8: sympathize with how frustrated you all must So I really do be. Now, as to my question, it's for you, Mike. And what are your thoughts on the medium to longer-term prospects of Anthropic's cowork as a competitive alternative to Jira?
Speaker #8: Also, I think it's important to get your perspective on cowork's new so if we were to compare this to the most plugins. And common Jira use cases, what could something like a cowork plugin automate for Jira, but also where would it fall short?
Gregg Moskowitz: Also, I think it's important to get your perspective on Cowork's new plugins, and so, you know, if we were to compare this to the most common Jira use cases, what could something like a Cowork plugin automate for Jira, but also, you know, where would it fall short? Thank you.
Gregg Moskowitz: Also, I think it's important to get your perspective on Cowork's new plugins, and so, you know, if we were to compare this to the most common Jira use cases, what could something like a Cowork plugin automate for Jira, but also, you know, where would it fall short? Thank you.
Speaker #8: Thank you.
Speaker #6: Thanks, Greg. Again, appreciate the sound. The kind words. You seem as frustrated as we are. So that's great. Look, firstly, I would say Anthropic is a great partner of Atlassian.
Mike Cannon-Brookes: Thanks, Greg. Again, appreciate the kind words. You seem as frustrated as we are, so that's great. Look, firstly, I would say Anthropic is a great partner of Atlassian. We use a lot of their models. We use a lot of their coding tools and working tools. We've just both become partners of Atlassian Williams Racing, which is wonderful. We're both helping that team to get to the front of the grid with a combination of all of our software and tools, and I think that's a great example, right? There are going to be new tools that arrive with AI, and those new tools are going to deliver new capabilities. We're seeing that every week, every month, and that is great for our customers. Those tools continue to require data. They continue to require places to exchange.
Mike Cannon-Brookes: Thanks, Greg. Again, appreciate the kind words. You seem as frustrated as we are, so that's great. Look, firstly, I would say Anthropic is a great partner of Atlassian. We use a lot of their models. We use a lot of their coding tools and working tools. We've just both become partners of Atlassian Williams Racing, which is wonderful. We're both helping that team to get to the front of the grid with a combination of all of our software and tools, and I think that's a great example, right? There are going to be new tools that arrive with AI, and those new tools are going to deliver new capabilities. We're seeing that every week, every month, and that is great for our customers. Those tools continue to require data. They continue to require places to exchange.
Speaker #6: We use a lot of their models. We use a lot of their coding tools and working tools. We've just both become partners of Atlassian Williams Racing, which is wonderful.
Speaker #6: We're both helping that team to get to the front of the grid with a combination of all of our software and tools. And I think that's a great example, right?
Speaker #6: There are going to be new tools that arrive with AI, and those new tools are going to deliver new capabilities. We're seeing that every week, every month.
Speaker #6: And that is great for our customers. Those tools continue to require data. They continue to require places to exchange. One of the greatest users of our MCP server, as an example, is a way to get to Atlassian's offering, and the teamwork graph and the context we have in those other tools is through things like Cowork and use of Atlassian's MCP server.
Mike Cannon-Brookes: One of the greatest users of our MCP Server, as an example, is a way to get to Atlassian's offering and the Teamwork Graph. And the context we have in those other tools is through things like, you know, Cowork and use of Atlassian's MCP Server. That is really good for us, right? Because it enables you to see how you can utilize and contribute back to the Teamwork Graph from lots of different tools used in lots of different contexts. There's no doubt some of these tools are gonna exist in different places with some overlaps. There are significant value, I think, between our offerings and those offerings. So we don't see that as being perhaps the challenge that others do out there. There's a great partnership opportunity there, and we continue to explore that.
Mike Cannon-Brookes: One of the greatest users of our MCP Server, as an example, is a way to get to Atlassian's offering and the Teamwork Graph. And the context we have in those other tools is through things like, you know, Cowork and use of Atlassian's MCP Server. That is really good for us, right? Because it enables you to see how you can utilize and contribute back to the Teamwork Graph from lots of different tools used in lots of different contexts. There's no doubt some of these tools are gonna exist in different places with some overlaps. There are significant value, I think, between our offerings and those offerings. So we don't see that as being perhaps the challenge that others do out there. There's a great partnership opportunity there, and we continue to explore that.
Speaker #6: That is really good for us, right? Because it enables you to see how you can utilize and contribute back to the teamwork graph from lots of different tools using lots of different contexts.
Speaker #6: There is no doubt some of these tools are going to exist in different places. With some overlaps. There are significant value, I think, between our offerings and those offerings so we don't see that as being perhaps the challenge that others do out there.
Speaker #6: There's a great partnership opportunity there, and we continue to explore that. We continue to use their offerings really strongly internally. There are always going to be a lot of differentiations out there.
Mike Cannon-Brookes: We continue to use their offerings really well, strongly internally. There are always going to be a lot of differentiations out there. Our Teamwork Graph is very differentiated. The context we have across our applications and other applications is very useful for any of those agentic type tools. At the same time, you're still going to need human beings in the process in lots of different places. Approval, workflows, business processes, they can be accelerated in lots of spots. That's exactly what we see customers doing with Rovo agents and with all the other agents that can now operate inside of Jira. Those agents are accelerating business processes in lots of different ways. They're not eliminating the human impact, right? The human AI collaboration is incredibly important, and I think it continues to be so. Lastly, I would just say that that's not new for us.
Mike Cannon-Brookes: We continue to use their offerings really well, strongly internally. There are always going to be a lot of differentiations out there. Our Teamwork Graph is very differentiated. The context we have across our applications and other applications is very useful for any of those agentic type tools. At the same time, you're still going to need human beings in the process in lots of different places. Approval, workflows, business processes, they can be accelerated in lots of spots. That's exactly what we see customers doing with Rovo agents and with all the other agents that can now operate inside of Jira. Those agents are accelerating business processes in lots of different ways. They're not eliminating the human impact, right? The human AI collaboration is incredibly important, and I think it continues to be so. Lastly, I would just say that that's not new for us.
Speaker #6: Our teamwork graph is very differentiated. The context we have across our applications and other applications is very useful for any of those agentic-type tools.
Speaker #6: beings in the process in lots of different At the same time, you're still going to need human places. Approval workflows, business processes, they can be accelerated in lots of spots.
Speaker #6: That's exactly what we see customers doing with Revo agents and with all of the other agents that can now operate inside of Jira. Those agents are accelerating business processes in lots of different ways.
Speaker #6: They're not eliminating the human impact, right? The human AI collaboration is incredibly important, and I think it continues to be so. Lastly, I would just say that that's not new for us.
Speaker #6: Our philosophy of integration goes to listening to customers. The history of enterprise technology is about integrating with various different offerings, right? We work with lots of different products.
Mike Cannon-Brookes: Our philosophy of integration goes to listening to customers. The history of enterprise technology is about integrating with various different offerings, right? We work with lots of different products to make sure that our data and our workflows are integrated with what the customers are using. We'll continue to do that. That is a very strong part of our philosophy, and I believe what, what customers really resonate with, that we are - we're integrated with, deeply enmeshed in their processes and workflows, and we'll continue to help those workflows get more efficient.
Mike Cannon-Brookes: Our philosophy of integration goes to listening to customers. The history of enterprise technology is about integrating with various different offerings, right? We work with lots of different products to make sure that our data and our workflows are integrated with what the customers are using. We'll continue to do that. That is a very strong part of our philosophy, and I believe what, what customers really resonate with, that we are - we're integrated with, deeply enmeshed in their processes and workflows, and we'll continue to help those workflows get more efficient.
Speaker #6: To make sure that our data and our workflows are integrated with what the customers are using, we'll continue to do that. That is a very strong part of our philosophy and I believe what customers really resonate with that we are integrated with deeply and meshed in their processes and workflows, and we'll continue to help those workflows get more
Speaker #6: efficient.
Speaker #4: Your next
Operator: Your next question comes from Karl Keirstead, from UBS. Please go ahead.
Operator: Your next question comes from Karl Keirstead, from UBS. Please go ahead.
Speaker #4: question comes from Karl Qvisted from UBS. Please go ahead.
Speaker #9: Oh, thank you. Maybe I'll direct this one to Joe. I noticed in the shareholder letter you talked about next year just warning the street that the DC segment obviously on the back of a tough comp would be down meaningfully.
Karl Keirstead: Thank you. Maybe I'll direct this one to Joe. I noticed in the shareholder letter you talked about next year, just warning the Street that the DC segment, obviously on the back of a tough comp, would be down meaningfully. I guess the spirit of my question is, if we go back to the medium-term guide that you offered, a year and a half or so ago, I think we would get to sort of an implied total revenue growth, if my math is right, of 19-20% next year. If DC's meaningfully down, I guess I just wanted to test your confidence that the cloud revenue can be up enough such that you still feel comfortable with hitting that previous guide through fiscal 2027. Thank you.
Karl Keirstead: Thank you. Maybe I'll direct this one to Joe. I noticed in the shareholder letter you talked about next year, just warning the Street that the DC segment, obviously on the back of a tough comp, would be down meaningfully. I guess the spirit of my question is, if we go back to the medium-term guide that you offered, a year and a half or so ago, I think we would get to sort of an implied total revenue growth, if my math is right, of 19-20% next year. If DC's meaningfully down, I guess I just wanted to test your confidence that the cloud revenue can be up enough such that you still feel comfortable with hitting that previous guide through fiscal 2027. Thank you.
Speaker #9: I guess the spirit of my question is, if we go back to the medium-term guide that you offered a year and a half or so ago, I think we would get to sort of an implied total revenue growth, if my math is right, of 19–20% next year.
Speaker #9: If DC's meaningfully down, I guess I just wanted to test your confidence that the cloud revenue can be up enough such that you still feel comfortable with hitting that previous guide.
Speaker #9: Through fiscal 27. Thank
Speaker #9: you. Yeah, thanks,
Joe Binz: Yeah, thanks, Karl. We do continue to have confidence in the long-term, Cloud guide. If you think about the short-term guidance, we've taken the same approach in Q3 and FY 2026 that we followed last year. The growth drivers for the Cloud business going forward continue to be very consistent with what we shared at the last Investor Day. We expect to tap into large market opportunities to drive healthy revenue growth through our strategies around enterprise, AI, and System of Work. All of that drives a great number of users, a higher ARPU, and more opportunity for cross-sell and upsell to higher value additions.
Joe Binz: Yeah, thanks, Karl. We do continue to have confidence in the long-term, Cloud guide. If you think about the short-term guidance, we've taken the same approach in Q3 and FY 2026 that we followed last year. The growth drivers for the Cloud business going forward continue to be very consistent with what we shared at the last Investor Day. We expect to tap into large market opportunities to drive healthy revenue growth through our strategies around enterprise, AI, and System of Work. All of that drives a great number of users, a higher ARPU, and more opportunity for cross-sell and upsell to higher value additions.
Speaker #8: Karl. We do continue to have confidence in the long-term cloud guide. If you think about the short-term guidance, we've taken the same approach in Q3 and FY26 that we followed last year.
Speaker #8: The growth drivers for the cloud business going forward continue to be very consistent with what we shared at the last investor day. We expect to tap into large market opportunities to drive healthy revenue growth through our strategies around enterprise, AI, and system of work.
Speaker #8: All of that drives a great number of users, a higher RPU, and more opportunity for cross-sell and upsell to higher value additions. And with AI, we believe we have a unique and differentiated position at this critical pivot point in the market with our teamwork graph around high-value mission-critical workloads combined with our cloud platform.
Joe Binz: And with AI, we believe we have a unique and differentiated position at this critical pivot point in the market, with our Teamwork Graph around high-value mission critical workloads combined with our cloud platform, and there's a lot of long-term opportunity in that space as well. So overall, those are the big drivers, and we continue to expect to drive healthy revenue growth over the next two years in cloud.
Joe Binz: And with AI, we believe we have a unique and differentiated position at this critical pivot point in the market, with our Teamwork Graph around high-value mission critical workloads combined with our cloud platform, and there's a lot of long-term opportunity in that space as well. So overall, those are the big drivers, and we continue to expect to drive healthy revenue growth over the next two years in cloud.
Speaker #8: opportunity in that space as well. So overall, those are the And there's a lot of long-term big drivers, and we continue to expect to drive healthy revenue growth over the next two years in cloud.
Speaker #4: Your next question comes from Alex Zukin from Wolf Research. Please go ahead.
Operator: Your next question comes from Alex Zukin, from Wolfe Research. Please go ahead.
Operator: Your next question comes from Alex Zukin, from Wolfe Research. Please go ahead.
Alex Zukin: Hey, guys. Thanks for taking my question. I guess in the spirit of the first two questions, Mike, it feels like you guys are continuing to see really solid growth and really solid progress on all the initiatives you've laid out. But I guess my question would be, given the fact that you're probably already both benefiting from, within Teamwork Collection, a number of AI consumptive drivers, you're seeing Rovo, and you're starting presumably to see your customers use agentic interactions, even from other systems, to enhance the value that both Jira and Confluence provide to teams. At what point would you at some point expect to see monetization increase, improve, and that greater value proposition to result in acceleration in stability of the Cloud numbers specifically?
Alex Zukin: Hey, guys. Thanks for taking my question. I guess in the spirit of the first two questions, Mike, it feels like you guys are continuing to see really solid growth and really solid progress on all the initiatives you've laid out. But I guess my question would be, given the fact that you're probably already both benefiting from, within Teamwork Collection, a number of AI consumptive drivers, you're seeing Rovo, and you're starting presumably to see your customers use agentic interactions, even from other systems, to enhance the value that both Jira and Confluence provide to teams. At what point would you at some point expect to see monetization increase, improve, and that greater value proposition to result in acceleration in stability of the Cloud numbers specifically?
Speaker #10: Hey, guys. Thanks for taking my question. I guess in the spirit of the first two questions, Mike, it feels like you guys are continuing to see really solid growth and really solid progress on all the initiatives you've laid out.
Speaker #10: But I guess my question would be, given the fact that you're probably already both benefiting from within teamwork's collection a number of AI consumptive drivers, you're seeing Revo and you're starting presumably to see your customers use agentic interactions even from other systems to enhance the value that both Jira and Confluence provide to teams.
Speaker #10: At what point would you at some point expect to see monetization increase improve and that greater value proposition to result in acceleration, in stability, of the cloud numbers specifically?
Speaker #10: And when do you think that will actually
Alex Zukin: When do you think that will actually happen?
Alex Zukin: When do you think that will actually happen?
Speaker #10: happen? Hi, Alex.
Mike Cannon-Brookes: Hi, Alex. I can definitely talk to that. Look, I want to reiterate firstly what Joe just said in the last answer. We have our long-term guide. We firmly believe in reiterating our confidence in that guide, and hopefully, you can see in things like our RPO numbers and our NRR numbers, so our retention and our remaining performance obligations, that there is a confidence in that long-term future that comes across. Both of those RPO and NRR numbers are across both cloud and DC combinedly. So that's important. I think you're seeing it today. So we run into this tricky bind. You are seeing that acceleration today.
Mike Cannon-Brookes: Hi, Alex. I can definitely talk to that. Look, I want to reiterate firstly what Joe just said in the last answer. We have our long-term guide. We firmly believe in reiterating our confidence in that guide, and hopefully, you can see in things like our RPO numbers and our NRR numbers, so our retention and our remaining performance obligations, that there is a confidence in that long-term future that comes across. Both of those RPO and NRR numbers are across both cloud and DC combinedly. So that's important. I think you're seeing it today. So we run into this tricky bind. You are seeing that acceleration today.
Speaker #2: I can definitely talk to that. Look, I want to reiterate, firstly, what Joe just said in the last answer. We have our long-term guide.
Speaker #2: We firmly believe in reiterating our confidence in that guide. And hopefully, you can see in things like our RPO numbers and our NRR numbers, so our retention and our remaining performance obligations.
Speaker #2: That there is a confidence in that long-term future that comes across. And both of those RPO and NRR numbers are across both cloud and DC.
Speaker #2: Confidential. So that's important. I think you're seeing it today. So we run into this tricky bind. You are seeing that acceleration today. Our RPO number has ticked up for the third quarter in a row and is growing significantly faster than our cloud revenue growth.
Mike Cannon-Brookes: Our RPO number has ticked up for the third quarter in a row and is growing significantly faster than our cloud revenue growth, and the cloud revenue growth also accelerated this quarter. So I, I believe you're actually seeing that today, and it will flow through. These customers are signing multi-year, you know, three-year large-scale deals. So in terms of at what point do we expect to see monetization? We're already seeing it, and we'll continue to see it, right? It's one of the number one reasons to move to the cloud and to upgrade to our cloud platform. AI is one of the number one reasons to choose the Teamwork Collection as a higher offering, and that is a great economic equation for our customers and for us.
Mike Cannon-Brookes: Our RPO number has ticked up for the third quarter in a row and is growing significantly faster than our cloud revenue growth, and the cloud revenue growth also accelerated this quarter. So I, I believe you're actually seeing that today, and it will flow through. These customers are signing multi-year, you know, three-year large-scale deals. So in terms of at what point do we expect to see monetization? We're already seeing it, and we'll continue to see it, right? It's one of the number one reasons to move to the cloud and to upgrade to our cloud platform. AI is one of the number one reasons to choose the Teamwork Collection as a higher offering, and that is a great economic equation for our customers and for us.
Speaker #2: And the cloud revenue growth also accelerated this quarter. So I believe you're actually seeing that today. And it will flow through. These customers are signing multi-year, three-year large-scale deals.
Speaker #2: of at what point do we expect to see So in terms monetization? We're already seeing it and we'll continue to see it, right? It's one of the number one reasons to move to the cloud and to upgrade to our cloud choose the teamwork collection as platform.
Speaker #2: AI is one of the number one reasons to a higher offering, and that is a great economic equation for our customers and for us.
Speaker #2: You're seeing more than 5 million AIs now, as you pointed out, and millions of agentic workflows now running every single month. All of that is leading to our customers continuing to expand their commitment to the Atlassian platform.
Mike Cannon-Brookes: You're seeing more than 5 million AI now, as you pointed out, and millions of agentic workflows now running every single month. All of that is leading to our customers continuing to expand their commitment to the Atlassian platform. AI is a huge part of that platform. Like, we should not mistake that. It's one of our three big transformations. We're heavily invested in delivering that AI to our customers. That monetization is coming through in the Teamwork Collection numbers we're seeing in those long-term customer commitments. They understand what we're building today. They see the roadmap of what we're building tomorrow. Customers have faith in our delivery. Again, the things we announce at our conferences, we ship. We ship those very, very quickly now, increasingly quickly after those conferences. What that does is build this long-term customer trust.
Mike Cannon-Brookes: You're seeing more than 5 million AI now, as you pointed out, and millions of agentic workflows now running every single month. All of that is leading to our customers continuing to expand their commitment to the Atlassian platform. AI is a huge part of that platform. Like, we should not mistake that. It's one of our three big transformations. We're heavily invested in delivering that AI to our customers. That monetization is coming through in the Teamwork Collection numbers we're seeing in those long-term customer commitments. They understand what we're building today. They see the roadmap of what we're building tomorrow. Customers have faith in our delivery. Again, the things we announce at our conferences, we ship. We ship those very, very quickly now, increasingly quickly after those conferences. What that does is build this long-term customer trust.
Speaker #2: AI is a huge part of that platform. Look, we should not mistake that. It's one of our three big transformations. We're heavily invested in delivering that AI to our customers.
Speaker #2: That monetization is coming through in the teamwork collection numbers we're seeing. In those long-term customer commitments. They understand what we're building today. They see the roadmap of what we're building tomorrow.
Speaker #2: Customers have faith in our delivery. Again, the things we announced at our conferences, we ship. We ship those very, very quickly now. Increasingly quickly after those conferences.
Speaker #2: What that does is builds this long-term customer trust. We invest heavily in R&D, as you all know. And we build great AI solutions. Our agents often in customers are the quickest thing they can get deployed.
Mike Cannon-Brookes: We invest heavily in R&D, as you all know, and we build great AI solutions. Our agents, often in customers, are the quickest thing that can get deployed with the highest value. And so I think we're seeing that today. It won't be a singular moment, like a step change or a single thing. We'll continue improvement, right? Continued improvement every quarter, but we are seeing that today.
Mike Cannon-Brookes: We invest heavily in R&D, as you all know, and we build great AI solutions. Our agents, often in customers, are the quickest thing that can get deployed with the highest value. And so I think we're seeing that today. It won't be a singular moment, like a step change or a single thing. We'll continue improvement, right? Continued improvement every quarter, but we are seeing that today.
Speaker #2: With the highest value. And so I think we're seeing that today. It won't be a singular moment like a step change or a single thing.
Speaker #2: We'll continue improvement, right? Continued improvement every quarter. But we are seeing that
Speaker #4: Your next question comes from Ryan McWilliams from Wells Fargo. Please go ahead.
Operator: Your next question comes from Ryan McWilliams from Wells Fargo. Please go ahead.
Operator: Your next question comes from Ryan McWilliams from Wells Fargo. Please go ahead.
Speaker #4: ahead. Hey, the second
Ryan MacWilliams: Thanks. Second question. For Mike, as new models get released, we're hearing examples of developers switching between different models and different coding agents as they see better model improvements. How do you view your position outside of the large AI labs working to Atlassian's advantage, as customers can use Jira across their organization for the long term, and then while still enabling their developers to use their favorite coding tool?
Ryan MacWilliams: Thanks. Second question. For Mike, as new models get released, we're hearing examples of developers switching between different models and different coding agents as they see better model improvements. How do you view your position outside of the large AI labs working to Atlassian's advantage, as customers can use Jira across their organization for the long term, and then while still enabling their developers to use their favorite coding tool?
Speaker #11: question. For Mike, as new models get released, we're hearing examples of developers switching between different models. And different coding agents. As they see better model improvements.
Speaker #11: How do you view your position outside of the large AI labs working to Atlassian's advantage as customers can use Jira across their organization for the long term and then while still enabling their developers to use their favorite coding
Speaker #11: tool? Oh, thanks,
Mike Cannon-Brookes: Cool. Thanks, Ryan. Look, there's a lot of answers to that question. Firstly, we are big fans of model delivery. Every time new models come out, we take those capabilities. We've long said our strength is in adapting and delivering those models to our customers through the value. Again, our customers don't use models, they use applications, right? We don't sell chips, we sell apps, and those apps have to deliver value, and those models let us deliver better value. We have a very good AI team, world-class, in adopting new models, working out where they're stronger, where they're cheaper, where they're faster, where they deliver better quality results, and getting those into our products really quickly. That is our job to do. The customers may not even notice that. They probably don't. They may notice the chat got a little better today than yesterday.
Mike Cannon-Brookes: Cool. Thanks, Ryan. Look, there's a lot of answers to that question. Firstly, we are big fans of model delivery. Every time new models come out, we take those capabilities. We've long said our strength is in adapting and delivering those models to our customers through the value. Again, our customers don't use models, they use applications, right? We don't sell chips, we sell apps, and those apps have to deliver value, and those models let us deliver better value. We have a very good AI team, world-class, in adopting new models, working out where they're stronger, where they're cheaper, where they're faster, where they deliver better quality results, and getting those into our products really quickly. That is our job to do. The customers may not even notice that. They probably don't. They may notice the chat got a little better today than yesterday.
Speaker #2: Ryan, look, there are a lot of answers to that question. Firstly, we are big fans of model delivery. Every time new models come out, we take those capabilities.
Speaker #2: We've long said our strength is in adapting and delivering those models to our customers through the value. Again, our customers don't use models. They use applications.
Speaker #2: Right? We don't sell chips. We sell apps. And those apps have to deliver value, and those models let us deliver better value. We have a very good AI team—world-class—in adopting new models, working out where they're faster, where they deliver better quality results, and getting those into our products really quickly.
Speaker #2: That is our job to do. The customers may not even notice that. They probably don't. They may notice the chat got a little better today than yesterday.
Speaker #2: We continue to do that with continued improved chat quality, agentic answer quality, etc. And we're able to use all the models again. We use models from multiple foundation labs within the customer's preferences.
Mike Cannon-Brookes: We continue to do that with continued improved chat quality, agentic answer quality, et cetera. We're able to use all the models. Again, we use models from multiple foundation labs within the customer's preferences, and choices. Our ability to do that, if we can pick the best model for the best purpose across multiple labs, that is a good thing. And that's a good thing for our customers, like, fundamentally, right, in terms of their ability. We take the same position when it comes to agents. Again, we are shipping a whole set of capabilities for Jira directly. That includes Jira Service Management, Jira Product Discovery, and Jira itself, to assign work to agents inside of any existing workflow or business process. Now, you can assign work to a Rovo agent out of the box.
Mike Cannon-Brookes: We continue to do that with continued improved chat quality, agentic answer quality, et cetera. We're able to use all the models. Again, we use models from multiple foundation labs within the customer's preferences, and choices. Our ability to do that, if we can pick the best model for the best purpose across multiple labs, that is a good thing. And that's a good thing for our customers, like, fundamentally, right, in terms of their ability. We take the same position when it comes to agents. Again, we are shipping a whole set of capabilities for Jira directly. That includes Jira Service Management, Jira Product Discovery, and Jira itself, to assign work to agents inside of any existing workflow or business process. Now, you can assign work to a Rovo agent out of the box.
Speaker #2: And choices. And our ability to do that, if we can pick the best model for the best purpose across multiple labs, that is a good thing.
Speaker #2: And that's a good thing for our customers. Fundamentally, right? In terms of their ability. We take the same position when it comes to agents.
Speaker #2: Again, we are shipping a whole set of capabilities for Jira directly. That includes Jira Service Management, Jira Product Discovery, and Jira itself—to assign work to agents inside of any existing workflow or business process.
Speaker #2: Now, you can assign work to a Rovo agent. Out of the box, you can build your own agents. But you're also able to assign work to agents from all of the other big agentic platforms.
Mike Cannon-Brookes: You can build your own agents, but you're also able to assign work to agents from all of the other big agentic platforms. I think that's a real strength of ours, because you can model your business process in Jira, you can model your workflow in Jira, and you can involve other agents from your agent platform of choice, or as most enterprises will probably end up with, multiple agent platforms, and we have an out-of-the-box offering that works for you for simple, quick cases. This is a real strength for our customers because it means that they have one workflow, and they can take the best of the best that makes sense. Maybe they have one set of agents in finance and a different set in sales, fine. We're able to help them across the board, again, to our view of helping integrate with the tools they have.
Mike Cannon-Brookes: You can build your own agents, but you're also able to assign work to agents from all of the other big agentic platforms. I think that's a real strength of ours, because you can model your business process in Jira, you can model your workflow in Jira, and you can involve other agents from your agent platform of choice, or as most enterprises will probably end up with, multiple agent platforms, and we have an out-of-the-box offering that works for you for simple, quick cases. This is a real strength for our customers because it means that they have one workflow, and they can take the best of the best that makes sense. Maybe they have one set of agents in finance and a different set in sales, fine. We're able to help them across the board, again, to our view of helping integrate with the tools they have.
Speaker #2: And I think that's a real strength of ours because you can model your business process in Jira. You can model your workflow in Jira, and you can involve other agents from your agent platform of choice or, as most enterprises will probably end up with, multiple agent platforms.
Speaker #2: And we have an out-of-the-box offering that works for you for a simple, quick case. This is a real strength for our customers because it means that they have one workflow, and they can take the best of the best that makes sense. Maybe they have one set of agents in finance and a different set in sales.
Speaker #2: Fine. We're able to help them across the board again to our view of helping integrate with the tools they have. Now, lastly, you mentioned some of the software capabilities of those agents.
Mike Cannon-Brookes: Now, lastly, you mentioned some of the software capabilities of those agents. I just wanted to stress, as we've said for 20 years, we solve human problems. We don't solve technology problems. We've never solved technology problems. And when we solve human problems, Jira is about the human reference to work. It is a piece of work that is going through a workflow, a set of changes. We use our own Rovo dev tool, sure. We use old school coding, where you just type the characters in, and we use many of the new AI code generation tools. In our engineering team, which is very large and very world-class, we use all of these things. We still use a lot of Jira.
Mike Cannon-Brookes: Now, lastly, you mentioned some of the software capabilities of those agents. I just wanted to stress, as we've said for 20 years, we solve human problems. We don't solve technology problems. We've never solved technology problems. And when we solve human problems, Jira is about the human reference to work. It is a piece of work that is going through a workflow, a set of changes. We use our own Rovo dev tool, sure. We use old school coding, where you just type the characters in, and we use many of the new AI code generation tools. In our engineering team, which is very large and very world-class, we use all of these things. We still use a lot of Jira.
Speaker #2: I just wanted to stress, as we've said for 20 years, we solve human problems. We don't solve technology problems. We've never solved technology problems.
Speaker #2: And when we solve human problems, Jira is work. It is a piece of work that is going through about the human reference to workflow.
Speaker #2: A set of changes. We use our own Rovo dev tool, sure. We use old-school coding, where you just type the characters in. And we use many of the new AI code generation tools.
Speaker #2: In our engineering team, which is very large and very world-class, we use all of these things. We still use a lot of Jira. Again, the statistics we're showing is that the more people use those tools, they create more issues.
Mike Cannon-Brookes: Again, the statistics we're showing is that the more people use those tools, they create more issues, they have more workflows, they actually have more MAU in Jira, 5% more MAU, at least, and they expand their seats at a faster rate. Because those are the most cutting-edge companies, those are growing the fastest, right? And I think that shows that the world of, of collaboration and human challenge, of teams getting together to decide what to do, is still really important, even, even among all of those technologies. So I think we have a unique position, to take all those models into our customer as they need the value from them.
Mike Cannon-Brookes: Again, the statistics we're showing is that the more people use those tools, they create more issues, they have more workflows, they actually have more MAU in Jira, 5% more MAU, at least, and they expand their seats at a faster rate. Because those are the most cutting-edge companies, those are growing the fastest, right? And I think that shows that the world of, of collaboration and human challenge, of teams getting together to decide what to do, is still really important, even, even among all of those technologies. So I think we have a unique position, to take all those models into our customer as they need the value from them.
Speaker #2: workflows. They actually have more now in They have more Jira. 5% more now, at least. And they expand their seats at a faster rate.
Speaker #2: Because those are the most cutting-edge companies. Those are growing the fastest, right? And I think that shows that the world of collaboration and human challenge of teams getting together to decide what to do is still really important even among all of those technologies.
Speaker #2: So I think we have a unique position to take all those models into our customer as they need the value from
Speaker #2: them. Your next
Operator: Your next question comes from Jason Celeno from KeyBank Capital Markets. Please go ahead.
Operator: Your next question comes from Jason Celeno from KeyBanc Capital Markets. Please go ahead.
Speaker #4: The question comes from Jason Salino from KeyBank Capital Markets. Please go ahead.
Speaker #4: ahead.
Speaker #3: Great.
Mike Cannon-Brookes: Great. Thank you. Maybe switching topics a little bit, more of a simpleton kinda question, but curious to hear how migration activity is going, you know, DC to cloud, and if you're able to quantify how much that benefit was for the quarter. Thank you.
Mike Cannon-Brookes: Great. Thank you. Maybe switching topics a little bit, more of a simpleton kinda question, but curious to hear how migration activity is going, you know, DC to cloud, and if you're able to quantify how much that benefit was for the quarter. Thank you.
Speaker #3: Thank you. Maybe switching topics a little bit and more of a simple than kind of question, but curious to hear how migration activity is going.
Speaker #3: DC to cloud and if you're able to quantify how much that benefit was for the quarter. Thank
Speaker #3: you. Yeah.
Speaker #1: Thanks for the question. We saw very healthy cloud migrations in Q2. It contributed a mid to high single-digit impact to cloud revenue growth rates.
Ryan MacWilliams: Yeah, thanks for the question. We saw very healthy cloud migrations in Q2. It contributed a mid to high single digit impact to cloud revenue growth rates.
Joe Binz: Yeah, thanks for the question. We saw very healthy cloud migrations in Q2. It contributed a mid to high single digit impact to cloud revenue growth rates.
Joe Binz: ... so given this, we continue to expect migrations to drive a mid- to high-single-digit contribution to cloud revenue growth for the full year. So happy with the progress, and it continues to go very well.
Joe Binz: ... so given this, we continue to expect migrations to drive a mid- to high-single-digit contribution to cloud revenue growth for the full year. So happy with the progress, and it continues to go very well.
Speaker #1: So given this, we continue to expect migrations to drive a mid to high single-digit contribution to cloud revenue growth for the full year. So happy with the progress.
Speaker #1: And it continues to go very well.
Speaker #4: Your next question comes from Itay Kidron from Oppenheimer. Please go ahead.
Operator: Your next question comes from Itay Kidron from Oppenheimer. Please go ahead.
Operator: Your next question comes from Itay Kidron from Oppenheimer. Please go ahead.
Itay Kidron: Thanks, and thanks, Joe, for resetting there on 27 Data Center. I wanted to dig in into the seat expansion. It clearly was a upside driver. It exceeded your expectations in the quarter. But Joe, I was wondering if you could break down the seat expansion, if there's a way that internally you look at this in the context of new customer additions, expansion with existing customers, whether it's developers or other corporate functions. I mean, every day we're hearing about companies laying off more, and more, and more people, yet you're getting more and more seats. I would love to get any insights as to the flavors. Where is it that you're gaining seats?
Speaker #2: Thanks. And thanks, Joe, for resetting there on 27 Data Center. I wanted to dig into the seat expansion. It clearly was an upside driver.
Ittai Kidron: Thanks, and thanks, Joe, for resetting there on 27 Data Center. I wanted to dig in into the seat expansion. It clearly was a upside driver. It exceeded your expectations in the quarter. But Joe, I was wondering if you could break down the seat expansion, if there's a way that internally you look at this in the context of new customer additions, expansion with existing customers, whether it's developers or other corporate functions. I mean, every day we're hearing about companies laying off more, and more, and more people, yet you're getting more and more seats. I would love to get any insights as to the flavors. Where is it that you're gaining seats?
Speaker #2: It came and exceeded your expectations in the quarter. But Joe, I was wondering if you could break down the seat expansion, if there's a way that internally you look at this in the context of new customer additions, expansion with existing customers, whether it's developers, other corporate functions.
Speaker #2: I mean, every day we're hearing about companies laying off more and more and more people, yet you're getting more and more seats. I would love to get any insights as to the flavors.
Speaker #2: Where is it that you’re getting seats? Where are you still seeing kind of good momentum over there in your confidence level about your ability to sustain the seat growth?
Itay Kidron: Where are you still seeing kind of good momentum over there, and your confidence level about your ability to sustain the seat growth?
Ittai Kidron: Where are you still seeing kind of good momentum over there, and your confidence level about your ability to sustain the seat growth?
Speaker #1: Yeah. Thanks for the question, Itay. In terms of where we see the expansion, I'd say it's broad-based. It's across both tech and non-tech users.
Joe Binz: Yeah, thanks for the question, Itay. In terms of where we see the, the expansion, I'd say it's broad-based. It's across both tech and non-tech users. We are making a lot of progress on what we call non-tech or business users, particularly with the TWC product. Those seat expansion rates, both across the enterprise and SMB, remain stable. That's been the case for, you know, 4 to 6 quarters now, so we feel really good about the continued progress on that. That's the way I would describe the, from a pre-paid seat expansion perspective, sort of the color in terms of what we're seeing, on that front.
Joe Binz: Yeah, thanks for the question, Itay. In terms of where we see the, the expansion, I'd say it's broad-based. It's across both tech and non-tech users. We are making a lot of progress on what we call non-tech or business users, particularly with the TWC product. Those seat expansion rates, both across the enterprise and SMB, remain stable. That's been the case for, you know, 4 to 6 quarters now, so we feel really good about the continued progress on that. That's the way I would describe the, from a pre-paid seat expansion perspective, sort of the color in terms of what we're seeing, on that front.
Speaker #1: We are making a lot of progress on what we call non-tech or business users, particularly with the TWC product. Those seat expansion rates, both across the enterprise and SMB, remain stable.
Speaker #1: That's been the case for four to six quarters now. So we feel really good about the continued progress on that. And that's the way I would describe from a paid seat expansion perspective, sort of the color in terms of what we're seeing on that front.
Speaker #3: All right. Sorry if I can just chime in as sort of a non-financial, higher level. Look, we're very clear that the system of work is about a continued growth of Atlassian into the knowledge worker population.
Mike Cannon-Brookes: Hi, Itay, if I can just chime in at a sort of non-financial and higher level. Look, we're very clear that the System of Work is about a continued growth of Atlassian into the knowledge worker population, right? When we talk about unleashing the potential of every team, our mission for over two decades, I would stress the every team part. We've got the software collection, which does very, very well. The DX and a lot of other things in Compass and Bitbucket Pipelines, like, there's a lot of great areas of that software collection. We've also got the service collection, so we're seeing great growth in service collection across HR teams, finance teams, and other areas outside of its traditional market in IT and operations teams. But that's certainly an area of growth for us, so there's HR and finance teams.
Mike Cannon-Brookes: Hi, Itay, if I can just chime in at a sort of non-financial and higher level. Look, we're very clear that the System of Work is about a continued growth of Atlassian into the knowledge worker population, right? When we talk about unleashing the potential of every team, our mission for over two decades, I would stress the every team part. We've got the software collection, which does very, very well. The DX and a lot of other things in Compass and Bitbucket Pipelines, like, there's a lot of great areas of that software collection. We've also got the service collection, so we're seeing great growth in service collection across HR teams, finance teams, and other areas outside of its traditional market in IT and operations teams. But that's certainly an area of growth for us, so there's HR and finance teams.
Speaker #3: Right? When we talk about unleashing the potential of every team, our mission for over two decades I would stress the every team part. We've got the software collection, which does very, very well.
Speaker #3: The DX and a lot of other things encompass in a BIPACA pipeline. There's a lot of great areas of that software collection. We've also got the service collection.
Speaker #3: So, we're seeing great growth in service collection across HR teams, finance teams, and other areas outside of its traditional market in IT and operations teams.
Speaker #3: But that's certainly an area of growth for us. So there's HR and finance teams. We're seeing a lot in the service collection, for example, and you've seen us ship a lot of features.
Mike Cannon-Brookes: We're seeing a lot in the service collection, for example, and you've seen us ship a lot of features. We also launched customer service this quarter as an application within that, to go after a new set of teams we haven't been able to get to, as well, I would say. In the core Teamwork Collection, look, as we said in our letter, we were seeing double-digit seat expansion, more than double-digit seat expansion compared to people who buy the standalone applications. And that's baked into the Teamwork Collection packaging, but it's also because of the AI offering and how it works, right? In terms of getting, you equate your Loom, Confluence, and Jira seats, along with your additions, which often gains expansion.
Mike Cannon-Brookes: We're seeing a lot in the service collection, for example, and you've seen us ship a lot of features. We also launched customer service this quarter as an application within that, to go after a new set of teams we haven't been able to get to, as well, I would say. In the core Teamwork Collection, look, as we said in our letter, we were seeing double-digit seat expansion, more than double-digit seat expansion compared to people who buy the standalone applications. And that's baked into the Teamwork Collection packaging, but it's also because of the AI offering and how it works, right? In terms of getting, you equate your Loom, Confluence, and Jira seats, along with your additions, which often gains expansion.
Speaker #3: We also launched customer service this quarter as a application within that to go after a new set of teams we haven't been able to get to as well you would say.
Speaker #3: In the core teamwork collection, look, as we said in our letter, we were seeing double-digit seat expansion. More than double-digit seat expansion compared to people who buy the standalone applications.
Speaker #3: And that's baked into the teamwork collection packaging. But it's also because of the AI offering and how it works, right, in terms of getting you get you equate your loom confluence and Jira seats along with your additions, which often gains expansion.
Speaker #3: But given the nature of our applications, and our continued growth in business teams across an enterprise—sales, marketing, HR, finance, etc.—what that licensing structure allows those teams to do is to collaborate more.
Mike Cannon-Brookes: But given the nature of our applications and our continued growth in business teams across an enterprise, sales, marketing, HR, finance, et cetera, what that licensing structure allows those teams to do is to collaborate more. And collaboration is a very sticky and kind of viral activity, so that's where you're seeing that expansion coming through in our MAU and in our AI MAU, and also ultimately ending up in our, you know, NRR and RPO numbers in terms of long-term commitments from customers. That is, that is where they're seeing expansion across business teams of all stripes.
Mike Cannon-Brookes: But given the nature of our applications and our continued growth in business teams across an enterprise, sales, marketing, HR, finance, et cetera, what that licensing structure allows those teams to do is to collaborate more. And collaboration is a very sticky and kind of viral activity, so that's where you're seeing that expansion coming through in our MAU and in our AI MAU, and also ultimately ending up in our, you know, NRR and RPO numbers in terms of long-term commitments from customers. That is, that is where they're seeing expansion across business teams of all stripes.
Speaker #3: And collaboration is a very sticky and kind of viral activity. So that's where you're seeing that expansion coming through in our now and in our AI now.
Speaker #3: And also ultimately ending up in our NRR and RPO numbers in terms of long-term commitments from customers. That is where they're seeing expansion across business teams of all—
Speaker #3: stripes. Your next
Operator: Your next question comes from Koji Ikeda from Bank of America. Please go ahead.
Operator: Your next question comes from Koji Ikeda from Bank of America. Please go ahead.
Speaker #4: question comes from Koji Ikeda from Bank of America. Please go ahead.
Speaker #5: Yeah. Hey, guys. Thanks so much for taking the question. I wanted to follow up on the point about customers that are using AI code gen tools are increasing Jira uses by 5%.
Koji Ikeda: Yeah. Hey, guys. Thanks so much for taking the question. I wanted to follow up on the point about customers that are using AI code gen tools are increasing Jira uses by 5%. You know, 5% on the tasks, on the MAU and expanding faster. And so what I'm trying to get at is understanding how this squares with the productivity gains that we're hearing from the code gen tools, like 30% more developer efficiency driven by code gen. Does that equate to 5% more Jira usage?
Koji Ikeda: Yeah. Hey, guys. Thanks so much for taking the question. I wanted to follow up on the point about customers that are using AI code gen tools are increasing Jira uses by 5%. You know, 5% on the tasks, on the MAU and expanding faster. And so what I'm trying to get at is understanding how this squares with the productivity gains that we're hearing from the code gen tools, like 30% more developer efficiency driven by code gen. Does that equate to 5% more Jira usage?
Speaker #5: 5% on the tasks, on the MAU, and expanding faster. And so what I'm trying to get at is understanding how that squares with the productivity gains that we're hearing from the code gen tools.
Speaker #5: 30% more developers' efficiency, driven by code gen, does that equate to 5% more Jira usage? Maybe I have that completely wrong, but what I'm trying to understand is how one helps catalyze use of the other.
Koji Ikeda: You know, maybe I have that completely wrong, but what I'm trying to understand is how one helps catalyze use of the other, and how we can maybe use that plus 5% increase of Atlassian usage when gen AI is being used as a good read for other parts of the Atlassian growth opportunity. Thank you.
Koji Ikeda: You know, maybe I have that completely wrong, but what I'm trying to understand is how one helps catalyze use of the other, and how we can maybe use that plus 5% increase of Atlassian usage when gen AI is being used as a good read for other parts of the Atlassian growth opportunity. Thank you.
Speaker #5: And how we can maybe use that plus 5% increase of that lasting usage when Gen AI is being used as a good read for other parts of the Atlassian growth opportunity.
Speaker #5: Thank you.
Mike Cannon-Brookes: Koji, great question. Get into some specifics here. Firstly, that's obviously within sort of the software team and software collection. So the first thing I would say is, to Itay's question previously, that is a subset of our user base, right, in terms of software teams, and those are generally broad technology teams as well, right? So not just developers, but, you know, security folk, and network analysts, and operations teams, and product managers, and designers. There's a lot of different roles involved in a software team, well beyond just the coding itself. But it is a subset of our total audience, and again, service collection had an amazing quarter, in a totally non-software sense. I think what we're saying there is it's 5% higher, or at least 5% higher than non-AI code generation-based companies.
Mike Cannon-Brookes: Koji, great question. Get into some specifics here. Firstly, that's obviously within sort of the software team and software collection. So the first thing I would say is, to Itay's question previously, that is a subset of our user base, right, in terms of software teams, and those are generally broad technology teams as well, right? So not just developers, but, you know, security folk, and network analysts, and operations teams, and product managers, and designers. There's a lot of different roles involved in a software team, well beyond just the coding itself. But it is a subset of our total audience, and again, service collection had an amazing quarter, in a totally non-software sense. I think what we're saying there is it's 5% higher, or at least 5% higher than non-AI code generation-based companies.
Speaker #2: Koji, great question. Get into some specifics here. Firstly, that's obviously within sort of the software team and software collection. So the first thing I would say is to Itay's question previously, that is a subset of our user base, right, in terms of software teams.
Speaker #2: And those are generally broad technology teams as well, right? So not just developers, but security, folk, and network analysts and operations teams and product managers and designers.
Speaker #2: There's a lot of different roles involved in a software team, well beyond just the coding itself. But it is a subset of our total audience.
Speaker #2: And again, service collection had an amazing quarter. In a totally non-software sense. I think what we're saying there is it's 5% higher or at least 5% higher than non-AI code generation-based companies.
Speaker #2: It doesn't mean it's a 5% expansion rate. It means they're expanding 5% higher than the rate of expansion of the other groups. So that's where you see that it's not necessarily a 5% total expand rate.
Mike Cannon-Brookes: It doesn't mean it's a 5% expansion rate. It means they're expanding 5% higher than the rate of expansion of the other groups. So that's where you see that it's not necessarily a 5% total expand rate. You can see in our NRR and other stats, it's higher than that, right? Secondly, there's a lot of reasons for that, I believe. Firstly, these are the cutting edge companies. These are the companies that are pushing the boundaries the most. They tend to be growth-oriented companies, so they tend to be companies that are growing, which is great. But guess who those largest companies are going to be? The future is those ones that are pushing the boundaries and driving forward in a generalized economic sense. So that's really good. Those are the leading companies for us. Secondly, yes, they're getting more efficiency.
Mike Cannon-Brookes: It doesn't mean it's a 5% expansion rate. It means they're expanding 5% higher than the rate of expansion of the other groups. So that's where you see that it's not necessarily a 5% total expand rate. You can see in our NRR and other stats, it's higher than that, right? Secondly, there's a lot of reasons for that, I believe. Firstly, these are the cutting edge companies. These are the companies that are pushing the boundaries the most. They tend to be growth-oriented companies, so they tend to be companies that are growing, which is great. But guess who those largest companies are going to be? The future is those ones that are pushing the boundaries and driving forward in a generalized economic sense. So that's really good. Those are the leading companies for us. Secondly, yes, they're getting more efficiency.
Speaker #2: You can see in our NRR and other stats, it's higher than that, right? Secondly, there's a lot of reasons for that, I believe. Firstly, these are the cutting-edge companies.
Speaker #2: These are the companies that are pushing the boundaries the most. They tend to be growth-oriented companies, so they tend to be companies that are growing, which is great.
Speaker #2: But guess who those largest companies are going to be? The future is those ones that are pushing the boundaries and driving forward in a generalized economic sense.
Speaker #2: So that's really good. Those are the leading companies for us. Secondly, yes, they're getting more efficiency. If you look at the actual delivery efficiency, coding speed is, again, 20 to 30% of the developer's job.
Mike Cannon-Brookes: If you look at the actual delivery efficiency, coding speed is again 20 to 30% of the developer's job, and so you may be getting 10, 15, 20% improvement in the overall productivity of your organization if you have 1,000 people in R&D, something like that. But that innovation moving quicker, it doesn't mean you're finishing your roadmap. You're coming up with more things to do, so you're adding more tasks. You're also creating a lot more technology, a lot more software and services, which makes your architecture more complicated. It gives you more things to manage with something like Compass, in terms of the different software code bases, models, pipelines, and all the different data structures that you have to deliver your technology, products, and services as an organization, as a customer of ours.
Mike Cannon-Brookes: If you look at the actual delivery efficiency, coding speed is again 20 to 30% of the developer's job, and so you may be getting 10, 15, 20% improvement in the overall productivity of your organization if you have 1,000 people in R&D, something like that. But that innovation moving quicker, it doesn't mean you're finishing your roadmap. You're coming up with more things to do, so you're adding more tasks. You're also creating a lot more technology, a lot more software and services, which makes your architecture more complicated. It gives you more things to manage with something like Compass, in terms of the different software code bases, models, pipelines, and all the different data structures that you have to deliver your technology, products, and services as an organization, as a customer of ours.
Speaker #2: And so, you may be getting 10%, 15%, 20% improvement in the overall productivity of your organization if you have 1,000 people in R&D, something like that.
Speaker #2: But that innovation moving quicker doesn't mean you're finishing your roadmap. You're coming up with more things to do. So you're adding more tasks. You're also creating a lot more technology, a lot more software and services, which makes your architecture more complicated.
Speaker #2: It gives you more things to manage with something like Compass in terms of the different software code bases and models and pipelines and all the different data structures that you have to deliver your technology, products, and services as an organization, as a customer of ours.
Speaker #2: And lastly, you create more complexity, right? The security and compliance of a bank, the governance functions that have to happen, the structuring and the downtime, the operating of that software, all of these things create Jira issues at large volumes, right?
Mike Cannon-Brookes: And lastly, you create more complexity, right? The security and compliance of a bank, the governance functions that have to happen, the structuring and the downtime, the operating of that software, all of these things create your issues at large volumes, right? So if you create more software, you're gonna have more management, more overhead, more collaboration. Some version of that is what we believe is happening underneath, right? You have more collaboration to do because you end up with more technology, and that's a good thing. More software in the world is a good thing for Atlassian. I think we've said that for a couple of years now. That is our belief, that AI is unlocking sort of human creativity at the highest level, right? It's allowing them to create more.
Mike Cannon-Brookes: And lastly, you create more complexity, right? The security and compliance of a bank, the governance functions that have to happen, the structuring and the downtime, the operating of that software, all of these things create your issues at large volumes, right? So if you create more software, you're gonna have more management, more overhead, more collaboration. Some version of that is what we believe is happening underneath, right? You have more collaboration to do because you end up with more technology, and that's a good thing. More software in the world is a good thing for Atlassian. I think we've said that for a couple of years now. That is our belief, that AI is unlocking sort of human creativity at the highest level, right? It's allowing them to create more.
Speaker #2: So if you create more software, you're going to overhead, more collaboration. Some version of that is what we believe is happening underneath, right? You have more collaboration to do because you end up with more technology, and that's a good thing.
Speaker #2: More software in the world is a good thing for Atlassian. I think we've said that for a couple of years now. That is our belief that we're AI is unlocking sort of human creativity at the highest level, right?
Speaker #2: It's allowing them to create more. That means those humans have to interact and collaborate more, and those created objects need to be managed, operated, maintained, and that's generalized.
Mike Cannon-Brookes: That means those humans have to interact and collaborate more, and those created objects need to be managed, operated, maintained, and that's generalized a good thing for Atlassian across software and non-software teams.
Mike Cannon-Brookes: That means those humans have to interact and collaborate more, and those created objects need to be managed, operated, maintained, and that's generalized a good thing for Atlassian across software and non-software teams.
Speaker #2: A good thing for Atlassian across software and non-software teams.
Operator: Your next question comes from Keith Bachman from BMO. Please go ahead.
Operator: Your next question comes from Keith Bachman from BMO. Please go ahead.
Speaker #4: ahead.
Keith Bachman: Hi. Thank you very much. Mike, I wanted to direct this to you, if I could, and I wanted to get your perspective and update on JSM specifically, and I'll break that into a few parts. If any kind of metrics you could give us on growth and what the trajectory is. There's a lot of consternation about workflow, broadly speaking. Moskowitz mentioned your stock going down; it's not the only one. ServiceNow goes down almost every day, given concerns around the underlying fundamentals of JSM. The second part is just anything on the competitive dynamics. And then the third is really, I wanted to focus on seats for a second within the context of JSM. And is there any update that you can give us on like for like?
Keith Bachman: Hi. Thank you very much. Mike, I wanted to direct this to you, if I could, and I wanted to get your perspective and update on JSM specifically, and I'll break that into a few parts. If any kind of metrics you could give us on growth and what the trajectory is. There's a lot of consternation about workflow, broadly speaking. Moskowitz mentioned your stock going down; it's not the only one. ServiceNow goes down almost every day, given concerns around the underlying fundamentals of JSM. The second part is just anything on the competitive dynamics. And then the third is really, I wanted to focus on seats for a second within the context of JSM. And is there any update that you can give us on like for like?
Speaker #6: much. Mike, I wanted to direct this to you if I could. And I wanted to get your perspective and update on JSM specifically. And I'll break that into a few parts.
Speaker #6: If any kind of metrics you could give us on growth and what the trajectory is, there's a lot of consternation about workflow broadly speaking.
Speaker #6: Moskowitz mentioned your stock went down. It's not the only one. ServiceNow goes down. Almost every day, given concerns around the underlying fundamentals of JSM.
Speaker #6: The second part is just anything on the competitive dynamics. And then the third is really, I wanted to focus on seats for a second within the context of JSM.
Speaker #6: And is there any update you can give us on like-for-like? What I mean by that is you have a has, is there seat degradation within the confines of a given workload?
Keith Bachman: What I mean by that, if you have a JSM workload a customer has, is that... Is there seat degradation within the confines of a given workload? I understand you're still grabbing customers, so seats are probably going, but really on a like for like basis, just wanted to understand some context on seats. Many thanks.
Keith Bachman: What I mean by that, if you have a JSM workload a customer has, is that... Is there seat degradation within the confines of a given workload? I understand you're still grabbing customers, so seats are probably going, but really on a like for like basis, just wanted to understand some context on seats. Many thanks.
Speaker #6: I understand you're still grabbing customers, so seats are probably gone, but really on a like-for-like basis, just want to understand some context on seats.
Speaker #6: Many
Speaker #6: thanks. Sure.
Mike Cannon-Brookes: Sure. Thanks, Keith. Great question. Love, love questions about service collection. Doing fantastically. Look, we gave some stats in our, in our shareholder letter, right? We passed 65,000 customers, which is a big milestone, 50% of the Fortune 500 as a business in and of itself, and the enterprise side of that, of that world growing over 60% year-over-year. So hopefully from those sort of high-level statistics, service collection is doing very, very well. It is definitely our fastest growing product at significant scale, and that's a, that's a really important milestone for that business. As I said earlier, yes, that growth is happening on a like-for-like customer base. I like your sort of same store sale analogy. I get what you're asking there. We're certainly seeing efficiencies coming in some of those customers.
Mike Cannon-Brookes: Sure. Thanks, Keith. Great question. Love, love questions about service collection. Doing fantastically. Look, we gave some stats in our, in our shareholder letter, right? We passed 65,000 customers, which is a big milestone, 50% of the Fortune 500 as a business in and of itself, and the enterprise side of that, of that world growing over 60% year-over-year. So hopefully from those sort of high-level statistics, service collection is doing very, very well. It is definitely our fastest growing product at significant scale, and that's a, that's a really important milestone for that business. As I said earlier, yes, that growth is happening on a like-for-like customer base. I like your sort of same store sale analogy. I get what you're asking there. We're certainly seeing efficiencies coming in some of those customers.
Speaker #2: Thanks, Kate. Great question—love questions about service collections, doing fantastically. Look, we gave some stats in our shareholder letter, right? We passed 65,000 customers, which is a big milestone.
Speaker #2: 50% of the Fortune 500 as a business in and of itself. And the enterprise side of that world, growing over 60% year on year.
Speaker #2: So hopefully from those sort of high-level statistics, service collection is doing very, very well. It is definitely our fastest-growing product at significant scale. And that's a really important milestone.
Speaker #2: For that business, as I said earlier, yes, that growth is happening on a like-for-like customer base. I like your sort of same-store sale analogy.
Speaker #2: I get what you're asking there. You've certainly seen efficiencies coming in some of those customers. At the same time, as a challenger brand, we are seeing great growth in HR.
Mike Cannon-Brookes: At the same time, as a challenger brand, we are seeing great growth in HR. We shipped 12 months ago a whole series of HR service management blueprints and other areas. We're growing really well in that sort of part of helping operate a business. Same in finance, same in other areas of operations, often like workplace management, these types of things, service collection is doing very, very well in, and we feel very confident that we have a lot more growth to go get there. Secondly, on the asset management side, you've seen us take assets out of the service collection and put them into the core platform. That continues to be a big growth driver for us as we have a far more modern CMDB-like system as a graph compared to a lot of the legacy competitors.
Mike Cannon-Brookes: At the same time, as a challenger brand, we are seeing great growth in HR. We shipped 12 months ago a whole series of HR service management blueprints and other areas. We're growing really well in that sort of part of helping operate a business. Same in finance, same in other areas of operations, often like workplace management, these types of things, service collection is doing very, very well in, and we feel very confident that we have a lot more growth to go get there. Secondly, on the asset management side, you've seen us take assets out of the service collection and put them into the core platform. That continues to be a big growth driver for us as we have a far more modern CMDB-like system as a graph compared to a lot of the legacy competitors.
Speaker #2: We ship to 12 months ago a whole series of HR service management blueprints and other areas. We're growing really well in that sort of part of helping operate a business.
Speaker #2: Same in finance, same in other areas of operations—often like workplace management—these types of things. Service collection is doing very, very well in.
Speaker #2: And we feel very confident that we have a lot more growth to go get there. Secondly, on the asset management side, you've seen us take assets out of the service collection and put them into the core platform.
Speaker #2: That continues to be a big growth driver for us, as we have a far more modern CMDB-like system as a graph, compared to a lot of the legacy competitors.
Mike Cannon-Brookes: And as we connect the assets graph that you have of physical objects, often to the Teamwork Graph, we're seeing our agents and our AI capabilities get significantly more powerful, and we're seeing great growth there. As such, you know, in the last six months, more than 40% of the agentic workflows that have been built are actually in service collection customers and service workflows. It's a very natural area to deploy agents, AI agents, into your service workflows to help improve the human agentic experience or the human agents experience of delivering value to the customer, or the customer just getting the value directly themselves. So that is going very, very well. More than two-thirds of our service collection customers are using it for non-IT use cases at the moment, which is a great sign that that is happening. Two other things, maybe.
Speaker #2: And as we connect the assets graph that you have of physical objects often, to the teamwork graph, we're seeing our agents and our AI capabilities get significantly more powerful, and we're seeing great growth there.
Mike Cannon-Brookes: And as we connect the assets graph that you have of physical objects, often to the Teamwork Graph, we're seeing our agents and our AI capabilities get significantly more powerful, and we're seeing great growth there. As such, you know, in the last six months, more than 40% of the agentic workflows that have been built are actually in service collection customers and service workflows. It's a very natural area to deploy agents, AI agents, into your service workflows to help improve the human agentic experience or the human agents experience of delivering value to the customer, or the customer just getting the value directly themselves. So that is going very, very well. More than two-thirds of our service collection customers are using it for non-IT use cases at the moment, which is a great sign that that is happening. Two other things, maybe.
Speaker #2: As such, in the last six months, more than 40% of the agentic workflows that have been built are actually in service collection customers and service workflows.
Speaker #2: It's a very natural area to deploy agents or AI agents into your service workflows to help improve the human agentic experience, or the human agents' experience of delivering value to the customer, or the customer just getting the value directly themselves.
Speaker #2: So, that is going very, very well. More than two-thirds of our service collection customers are using it for non-IT use cases at the moment, which is a great sign that that is happening.
Speaker #2: Two other things, maybe. One, you see we're a leader in our enterprise service management wave. The analyst community continues to recognize us as a leader and a visionary, but also a significant challenger and growth brand.
Mike Cannon-Brookes: One, you see we're a leader in our enterprise service management wave. The analyst community continues to recognize us as a leader and a visionary, but also a significant challenger and growth brand. We continue to see a lot of migration from legacy service management platforms onto service collection for much higher ROI, much better cost equation, with a much more modern stack and user experience. That's really great for us. Lastly, and it shouldn't be last, it's definitely not the most minor. We only GA'd our customer service management app inside the last quarter, so that's delivering great efficiency results for us in running parts of our customer service, as we've said.
Mike Cannon-Brookes: One, you see we're a leader in our enterprise service management wave. The analyst community continues to recognize us as a leader and a visionary, but also a significant challenger and growth brand. We continue to see a lot of migration from legacy service management platforms onto service collection for much higher ROI, much better cost equation, with a much more modern stack and user experience. That's really great for us. Lastly, and it shouldn't be last, it's definitely not the most minor. We only GA'd our customer service management app inside the last quarter, so that's delivering great efficiency results for us in running parts of our customer service, as we've said.
Speaker #2: And we continue to see a lot of migration from legacy service management platforms onto service collection for much higher ROI, much better cost equation with a much more modern stack and user experience.
Speaker #2: And that's really great for us. Lastly, and it shouldn't be last, it's definitely not the most minor, we only GA'd our customer service management app inside the last quarter.
Speaker #2: So that's delivering great efficiency results for us in running parts of our customer service, as we've said. Very early in that journey, but we're really excited about how that can continue to grow the service collection as it continues to power a large part of Atlassian's growth.
Mike Cannon-Brookes: Very early in that journey, but really excited about how that can continue to grow the service collection, as it continues to power a large part of our licensing growth.
Mike Cannon-Brookes: Very early in that journey, but really excited about how that can continue to grow the service collection, as it continues to power a large part of our licensing growth.
Speaker #4: Your next question comes from Raymo Lenshaw from Barclays. Please go ahead.
Operator: Your next question comes from Raimo Lenschow from Barclays. Please go ahead.
Operator: Your next question comes from Raimo Lenschow from Barclays. Please go ahead.
Speaker #4: ahead. Perfect.
Raimo Lenschow: Perfect. Thank you. Thanks for squeezing me in. I had a question on the DC price increases and the gap we have to Jira Cloud now. Like, how do you think about that in terms of as an server incentives to move? Do you think there's further action in that that can help you there to kind of accelerate that journey? And then I had one quick follow-up.
Raimo Lenschow: Perfect. Thank you. Thanks for squeezing me in. I had a question on the DC price increases and the gap we have to Jira Cloud now. Like, how do you think about that in terms of as an server incentives to move? Do you think there's further action in that that can help you there to kind of accelerate that journey? And then I had one quick follow-up.
Speaker #7: Thank you. Thanks for squeezing me in. I had a question on the DC price increases and the gap we have to Jira Cloud now.
Speaker #7: How do you think about that in terms of as an server incentive to move? Do you think the further action in the desk can help you there to kind of accelerate that journey?
Speaker #7: And then I had one quick
Speaker #7: follow-up. Yeah.
Speaker #6: Thanks, Raymo. From a pricing perspective, on the cloud, we invest quite a bit in R&D, and we're consistently delivering a lot of innovation and value to our customers.
Joe Binz: Yeah, thanks, Raimo. You know, from a pricing perspective, on the cloud, you know, we invest quite a bit in R&D, and we're consistently delivering a lot of innovation and value to our customers, and that fundamentally allows us the opportunity to increase prices over time, commensurate with that value delivery. We may not do that through pricing, or packaging of premium SKUs or through list prices. In either case, our prices today remain significantly below many of our software peers and competitors across our portfolio. And because of that, and the pace and of innovation and value delivery on mission-critical workflows, we still feel we have plenty of headroom for further pricing.
Joe Binz: Yeah, thanks, Raimo. You know, from a pricing perspective, on the cloud, you know, we invest quite a bit in R&D, and we're consistently delivering a lot of innovation and value to our customers, and that fundamentally allows us the opportunity to increase prices over time, commensurate with that value delivery. We may not do that through pricing, or packaging of premium SKUs or through list prices. In either case, our prices today remain significantly below many of our software peers and competitors across our portfolio. And because of that, and the pace and of innovation and value delivery on mission-critical workflows, we still feel we have plenty of headroom for further pricing.
Speaker #6: And that fundamentally allows us the opportunity to increase prices over time commensurate with that value delivery. We made that do that through pricing. We're packaging a premium SKUs or through list prices.
Speaker #6: In either case, our prices today remain significantly below many of our software peers and competitors across our portfolio. And because of that and the pace and of innovation of value delivery on mission-critical workflows, we still feel we have plenty of headroom for further pricing.
Speaker #6: In terms of data center, we will ensure that any price changes on data center going forward fit into the deliberate and planful approach we're taking in providing the right incentives at the right time to help customers upgrade to the cloud.
Joe Binz: In terms of data center, we will ensure that any price changes on data center going forward fit into the deliberate and planful approach we're taking in providing the right incentives at the right time to help customers upgrade to the cloud. Overall, however, we believe we remain competitively priced just relative to the value we deliver and competitive alternatives in that space as well. So that's how we think about the pricing perspectives, in terms of the, the interplay between cloud and data center.
Joe Binz: In terms of data center, we will ensure that any price changes on data center going forward fit into the deliberate and planful approach we're taking in providing the right incentives at the right time to help customers upgrade to the cloud. Overall, however, we believe we remain competitively priced just relative to the value we deliver and competitive alternatives in that space as well. So that's how we think about the pricing perspectives, in terms of the, the interplay between cloud and data center.
Speaker #6: Overall, however, we believe we remain competitively priced just relative to the value we deliver, and competitive alternatives in that space as well. So that's how we think about the pricing perspectives in terms of the interplay between cloud and data center.
Speaker #7: Yeah. Okay. Perfect. Thank you. And then I had one question. I might have missed it, but did you talk to the 20% revenue growth figure or did you could you clarify that because I had a couple of questions from the other audience if you kind of reiterated that or
Raimo Lenschow: Yeah. Okay, perfect. Thank you. Then I had one question. I might have missed it, but did you talk to the 20% revenue growth CAGR? Or, could you clarify that? Because I had a couple of questions from the other audience, if you kind of reiterated that or not.
Raimo Lenschow: Yeah. Okay, perfect. Thank you. Then I had one question. I might have missed it, but did you talk to the 20% revenue growth CAGR? Or, could you clarify that? Because I had a couple of questions from the other audience, if you kind of reiterated that or not.
Speaker #7: not? Yeah.
Speaker #6: Sure, Raymo. There's no change to our midterm outlook calling for 20%+ compounded annual revenue growth through FY27. I'd say the same thing for our 25%+ non-GAAP operating margin commitment in FY27.
Joe Binz: Yeah, sure, Raimo. There's no change to our midterm outlook, calling for 20%+ compounded annual revenue growth through FY 2027. I'd say the same thing for our 25%+ non-GAAP operating margin commitment in FY 2027. We remain confident in our ability to deliver healthy and accelerating cloud revenue growth as we expand operating margin over time. And I'd also highlight that with respect to our short-term guidance for FY 2026, we do continue to take a conservative and risk-adjusted approach. So that's the way to think about that.
Joe Binz: Yeah, sure, Raimo. There's no change to our midterm outlook, calling for 20%+ compounded annual revenue growth through FY 2027. I'd say the same thing for our 25%+ non-GAAP operating margin commitment in FY 2027. We remain confident in our ability to deliver healthy and accelerating cloud revenue growth as we expand operating margin over time. And I'd also highlight that with respect to our short-term guidance for FY 2026, we do continue to take a conservative and risk-adjusted approach. So that's the way to think about that.
Speaker #6: We remain confident in our ability to deliver healthy and accelerating cloud revenue growth as we expand operating margin over time. And I'd also highlight that, with respect to our short-term guidance for FY26, we do continue to take a conservative and risk-adjusted approach.
Speaker #6: So that's the way to think about
Speaker #6: that. Thank
Speaker #4: You. That's all the questions we have time for today. I will now turn the call over to Mike for closing remarks.
Operator: Thank you. That's all the questions we have time for today. I will now turn the call over to Mike for closing remarks.
Operator: Thank you. That's all the questions we have time for today. I will now turn the call over to Mike for closing remarks.
Speaker #8: Thank you, everyone, for joining our call today. Thanks to all of the Atlassian teams for delivering a truly fantastic quarter. And as always, we appreciate all your thoughtful questions and continued support from the investor and shareholder community.
Mike Cannon-Brookes: Thank you, everyone, for joining our call today. Thanks to all of the Atlassian teams for delivering a truly fantastic quarter. And as always, we appreciate all your thoughtful questions and continued support from the investor and shareholder community. Have a kick-ass weekend, everybody.
Mike Cannon-Brookes: Thank you, everyone, for joining our call today. Thanks to all of the Atlassian teams for delivering a truly fantastic quarter. And as always, we appreciate all your thoughtful questions and continued support from the investor and shareholder community. Have a kick-ass weekend, everybody.
