Q2 2026 Varonis Systems Inc Earnings Call
Speaker #1: Greetings, and welcome to the Varonis Systems, Inc. Q2 2026 earnings conference call. At this time, all participants are in a listen-only mode. A brief question-and-answer session will follow the formal presentation.
Speaker #1: Should anyone require operator assistance during the conference, please press star 0 on your telephone keypad. As a reminder, this conference is being recorded. It is now my pleasure to introduce your host, Tim Perz, Investor Relations.
Speaker #1: Thank you. You may begin.
Speaker #2: Thank you, operator. Good afternoon, and thank you for joining us today to review Varonis's Q2 2026 financial results. With me on the call today are Yakov Faitelson, Chief Executive Officer, and Guy Melamed, Chief Financial Officer and Chief Operating Officer of Varonis.
Speaker #2: After preliminary remarks, we'll open the call to a question-and-answer session. During this call, we may make statements related to our business that would be considered forward-looking statements under federal securities laws, including projections of future operating results for our third quarter and full year ending December 31, 2026.
Speaker #2: Due to a number of factors, actual results may differ materially from those set forth in such statements. These factors are set forth in the earnings press release that we issued today, under the section captioned "Forward-Looking Statements." These and other important risk factors are described more fully in our reports filed with the Securities and Exchange Commission.
Speaker #2: We encourage all investors to read our SEC filings. These statements reflect our views only as of today and should not be relied upon as representing our views as of any subsequent date.
Speaker #2: Varonis expressly disclaims any obligation or undertaking to release publicly any updates or revisions to any forward-looking statements made herein. Additionally, non-GAAP financial measures will be discussed on this conference call.
Speaker #2: A reconciliation for the most directly comparable GAAP financial measures is available in our Q2 2026 earnings press release and our investor presentation, which can be found at varonis.com in the Investor Relations section.
Speaker #2: Lastly, please note that a webcast of today's call is available on our website in the Investor Relations section. With that, I'd like to turn the call over to our Chief Executive Officer, Yakov Faitelson.
Speaker #2: Yakov?
Speaker #3: Thanks, Tim, and good afternoon, everyone. We appreciate your joining us to discuss our Q2 2026 results. In Q2, SASE ARR excluding conversions increased 25% year over year.
Speaker #3: To $500 and $98.1 million, and total SASE, including conversion, was $726 million. The strong underlying trends we have seen in recent quarters continued in Q2, and we believe that our performance could have been even better.
Speaker #3: If we had closed a few large deals that slipped due to the rumors in the news in the final week of the quarter. However, we have since closed some of those deals in July, and Q3 is off to a strong start, which gives us the confidence to raise our full-year guidance for SASE are our above the Q2 beat.
Speaker #3: We are also seeing momentum in our pipeline because of the secular tailwind from the need to secure AI and the data that powers it, as well as benefits from our expanded offering.
Speaker #3: Let me spend a moment on the positive underlying trends that we saw in Q2. First, we saw SASE ARR from new logos grow by more than 20% in the quarter.
Speaker #3: This is an important signal that organizations are recognizing Varonis's ability to secure their data and AI environments. Second, we saw growing momentum from our newer products, including Atlas, Interceptor, and Database Activity Monitoring, which reinforces the breadth of our platform and the expanding set of use cases we can address for our customers.
Speaker #3: Guy will review our results and guidance in more detail shortly. Before discussing our key customer wins from the quarter, I want to step back from our near-term results and highlight why we believe Varonis is best positioned to help companies safely adapt AI and prevent data breaches.
Speaker #3: Our opportunity starts with a simple reality: as companies look to adopt AI, the value and risk associated with their data increases. Customers want to move faster and unlock the productivity benefits of AI, but they cannot do that confidently if sensitive information is overexposed—permissions are too broad, and activity is not monitored or managed.
Speaker #3: This is exactly the problem Varonis was built to solve. We see three areas where this shift is creating urgency: understanding and securing the data itself, controlling how AI systems and agents interact with data, and defending against attackers that are using AI to move faster and operate at greater scale.
Speaker #3: First, customers need to know where their sensitive data lives, who can access it, and whether that access is appropriate. AI makes this more important because it reduces the friction between employees, agents, and the information those identities can reach.
Speaker #3: Data that was already exposed becomes easier to find, summarize, and act on. Second, organizations need guardrails around the models, agents, and pipelines that are being connected to enterprise data.
Speaker #3: It is not enough to know that an AI tool exists; customers need to understand what data it can access, what permissions it inherits, what actions it can take, and whether its behavior is normal in an agentic environment.
Speaker #3: An activity that once required a person to invest time searching, downloading, and moving files can now happen in seconds. That speed raises the stakes for automated remediation and real-time detection.
Speaker #3: Third, customers are facing a threat environment where adversaries are also using AI. Attackers can generate more convincing social engineering campaigns, automate their attacks, and scale techniques that used to require more time and specialized resources.
Speaker #3: The attack surface also expands as agents gain access to email, collaboration tools, applications, and data stores. This reinforces the need for security controls that are continuous, automated, and deeply connected to the data level.
Speaker #3: These dynamics create a strong secular tailwind for Varonis. Customers are asking the same sets of questions with greater urgency: What sensitive data do we have?
Speaker #3: Where is it exposed? Who or what can access it? And how do we reduce risk without slowing the business down? Our answer is to secure data from the inside out through automation.
Speaker #3: This is also why data security and AI security cannot be treated as separate problems. AI inventory is more valuable when it is tied to the data that AI systems can access.
Speaker #3: Runtime guardrails are stronger when they have context around identity, data exposure, and accurate classification and labeling. Detection is more effective when it is informed by normal data access patterns. Customers want to move quickly, but they need confidence that the right controls are in place.
Speaker #3: Automation is the common thread. The traditional approach to security was built for a slower world, when humans could review access, investigate alerts, and manually clean up risk.
Speaker #3: That model does not work when data volumes are exploding, permissions are constantly changing, and AI agents can act at machine speed. In our view, the only practical way to manage AI-driven risk is with AI-driven defense.
Speaker #3: With that, I would like to briefly discuss a couple of key customer wins from Q2 that show how these themes are translating into real demand.
Speaker #3: This quarter, a healthcare organization with more than 40,000 employees became a Varonis customer. This company was looking to deploy AI in order to deliver better patient care and needed to establish guardrails around AI usage, monitor how data was being leveraged across more than 100 AI projects, and automatically remediate overexposed HIPAA and PII data.
Speaker #3: A risk assessment uncovered significant exposure of sensitive data, including patients' records and HIPAA data. The customer ultimately purchased Varonis for Atlas Complete to safely adapt AI tools, including Copilot, Claude, and internally built LLMs, as well as Varonis for AWS, Azure Databricks, Snowflake, Microsoft 365, and MDDR.
Speaker #3: Another highlight from this quarter was a financial services company that expanded its Varonis deployment after performing a vendor consolidation review. The customer was using Varonis to secure on-premise file servers, and wanted to consolidate multiple point products such as TAM and email security into our platform as part of a broader vendor rationalization initiative led by its CISO.
Speaker #3: They are also preparing to adapt AI and leverage automatic remediation to prevent attacks. We demonstrated how Varonis could secure data access across cloud, SaaS, and AI environments while replacing several standalone tools.
Speaker #3: During the cloud evaluation, we automatically detected and prevented a significant security incident, which further validates the value of our platform. The customer ultimately expanded its coverage with Varonis for Atlas Complete Interceptor DAM, as well as Varonis for IaaS Salesforce and Microsoft 365.
Speaker #3: In summary, our Q2 results were highlighted by SaaS ARR, excluding conversion growth, of 25%. SaaS ARR from new logos grew more than 20%, and we saw growing momentum from our newer products, including Atlas Interceptor and Database Activity Monitoring.
Speaker #3: Organizations are prioritizing data and AI security, and we are uniquely positioned to help customers secure sensitive data, govern AI, and automate risk reduction. With that, let me turn the call over to Guy.
Speaker #3: Guy.
Speaker #2: Thanks, Yaki. Good afternoon, everyone. Thank you for joining us today. Our second quarter performance represents strong new logo activity, as our team continues to execute on the tailwinds in our business and help customers secure their data and AI. We continue to see increasing adoption of our newer products.
Speaker #2: While we came in above the top end of our guidance range, we believe some large deals slipped at the end of the quarter due to the rumors in the news.
Speaker #2: As Yaki said, we have since closed some of these deals, including a seven-figure deal, and the third quarter is off to a strong start.
Speaker #2: The Q2 outperformance, coupled with a strong start to Q3 and our healthy pipeline, gives us the confidence to raise our full-year guidance above the beat for SaaS ARR growth excluding conversions, and also for free cash flow.
Speaker #2: In the second quarter, SaaS ARR excluding conversions increased 25% year over year to $598.1 million, and total SaaS ARR was $726 million. In Q2, we had $11.4 million of conversion ARR, and we finished the quarter with approximately $59.3 million of non-SaaS ARR remaining.
Speaker #2: Year to date, we generated $69.1 million of free cash flow, down from $82.7 million in the same period last year, which reflects the previously communicated headwind from the end-of-life announcement of our on-prem platform. This also includes approximately $11.9 million of acquisition-related costs related to the accounting treatment of our acquisitions.
Speaker #2: Adjusting for the acquisition-related costs, year-to-date free cash flow would have been approximately $81 million. We are confident in our cash flow generation and are raising our full-year free cash flow guidance by $5 million.
Speaker #2: Now I'd like to recap our Q2 results. In the quarter, total revenues were $180 million, up 18% year over year. SaaS revenues were $171.7 million.
Speaker #2: Term license subscription revenues were $4.2 million, and maintenance and services revenues were $4.1 million. Our SaaS renewal rate was over 90%. Moving down to the income statement, I'll be discussing non-GAAP results going forward.
Speaker #2: Gross profit for the second quarter was $139.9 million, representing a gross margin of 77.7%, compared to 80.6% in the second quarter of 2025. Our gross margin continues to be healthy and in line with our long-term target set at our Investor Day.
Speaker #2: Operating expenses in the second quarter totaled $136.1 million. As a result, second quarter operating income was $3.7 million, or an operating margin of 2.1%.
Speaker #2: This compares to an operating loss of $1.9 million, or an operating margin of negative 1.2% in the same period last year. Second quarter ARR contribution margin was 13.3%, down from 16.5% last year.
Speaker #2: This is in line with our expectations and, as a reminder, is impacted in 2026 due to the end of life for our self-hosted platform.
Speaker #2: During the quarter, we had financial income of approximately $7 million, driven primarily by interest income on our cash, deposits, and investments in marketable securities.
Speaker #2: Net income for the second quarter of 2026 was $5.3 million, or $0.04 per diluted share, compared to net income of $3.8 million, or $0.03 per diluted share, for the second quarter of 2025.
Speaker #2: This is based on 130.8 million and 135.2 million diluted shares outstanding for Q2 2026 and Q2 2025, respectively. As of June 30, 2026, we had $911.5 million in cash, cash equivalents, short-term deposits, and marketable securities.
Speaker #2: For the six months ended June 30, 2026, we generated $80.1 million of cash from operations, compared to $89.3 million generated in the same period last year, and capex was $9.4 million compared to $5.7 million in the same period last year.
Speaker #2: As a reminder, we will provide quarterly SaaS ARR, excluding conversion guidance, for this year only. We're doing this because of the difficulty in mapping the year-over-year growth rates due to the impact of conversions in 2025 and 2026.
Speaker #2: We're also providing a bridge to quarterly total SaaS ARR in our investor deck, which again assumes zero conversions from our guidance perspective to the upcoming quarter.
Speaker #2: For the full year 2026, we will provide annual guidance for both SaaS ARR, excluding conversions, and total SaaS ARR. For more information, please see our earnings deck on our investor relations website, which includes a more detailed breakdown of our financial guidance.
Speaker #2: For the third quarter of 2026, we expect SaaS ARR growth of 22% to 23%, excluding conversions. Total revenues of $185 million to $188 million.
Speaker #2: Representing growth of 14% to 16%. Non-GAAP operating income of $2.5 million to $3.5 million, and non-GAAP net income per diluted share in the range of $0.02 to $0.03.
Speaker #2: This assumes 131.1 million diluted shares outstanding. For the full year 2026, we now expect total SaaS ARR of $819 million to $850 million, representing growth of 28% to 33%.
Speaker #2: This represents SaaS ARR growth of 20% to 21%, excluding conversions. Free cash flow of $105 million to $110 million. Total revenues of $735 million to $739 million.
Speaker #2: Representing growth of 18% to 19%. Non-GAAP operating income of $11 million to $13 million. Non-GAAP net income per diluted share in the range of $0.14 to $0.15.
Speaker #2: This assumes 131.5 million diluted shares outstanding. In summary, we continue to see many positive trends, including healthy new logo momentum, strong pipeline activity, and a growing urgency from customers to secure AI systems and the data that powers them. This reinforces our confidence in the durability of our platform and the massive opportunity ahead.
Speaker #2: This confidence allows us to raise our full-year outlook for SaaS ARR, excluding conversions, growth above the second quarter beat to 21% at the midpoint.
Speaker #2: To $769 million to $775 million, which is a $5 million raise over last quarter. Now I'd like to turn it back over to Tim.
Speaker #3: Before we proceed to Q&A, I would like to make one additional comment. You may have seen recent speculation in the media related to a potential transaction involving Varonis. As a matter of policy, we do not discuss rumors or speculation, and we will make no further comment on this.
Speaker #3: With that, we will be happy to take your questions on the quarter. Operator.
Speaker #1: Thank you. We will now be conducting a question and answer session. We ask that you please limit yourselves to one question and no follow-up.
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Speaker #1: One moment, please, while we pull for questions. The first question is from Sakit Kalia from Barclays. Please go ahead.
Speaker #4: Okay, great. Hey, guys, thanks for taking my question here. I'll keep it to one. Guy, it sounds like there were some deals that pushed out at the end of the second quarter.
Speaker #4: Maybe the question is, can you talk about what the cadence was like of business through the quarter until those headlines hit? And how much of an impact could that have had on net new ARR in Q2 if you had to size it?
Speaker #3: Thanks for the question, Sakit. There were a lot of positive trends that we saw in Q2, and we think we could have done even better if it wasn't for some of those large deals that were impacted by the rumors in the news.
Speaker #3: We've already closed some of these in July, including a seven-figure deal, and we expect to close more of them during the third quarter. There are three factors which gave us the confidence to raise our full-year free cash flow and SaaS ARR guidance, excluding conversions.
Speaker #3: Number one, in Q2, we saw new logo ACV grow more than 20%. Number two, we saw increasing adoption of Atlas, DAM, and Interceptor, which gives us confidence in our upsell motion over time. And number three, we continue to see a healthy pipeline for the back end of the year driven by the need to secure AI and the data that powers it.
Speaker #3: These positive tailwinds that we see give us continued confidence in our ability to grow 20-plus percent over the long term.
Speaker #4: Very helpful. Thank you.
Speaker #1: The next question is from Matt Hedberg from RBC. Please go ahead.
Speaker #4: Great, thanks for taking my question. Maybe as a follow-up to that—you know, obviously Mythos has been in the news, and it's seemingly generating a lot of cyber pipeline out there.
Speaker #4: I'm wondering, you know, if you could talk to how perhaps Mythos was driving some accelerated customer conversations and, you know, have you had any luck, do you think, converting any of that pipeline thus far?
Speaker #4: Thanks guys.
Speaker #5: Yes, I think that Mythos—hi Matt—I think that Mythos, what it does, it's definitely exposing vulnerabilities. But what we see that is really starting to drive the business and build a lot of pipeline is where customers are in just the maturity curve.
Speaker #5: A lot of them are just investing a lot of money in AI. A lot of it is—some of it is experimental revenues, and now they are trying to get ROI.
Speaker #5: Matt, the bottleneck is connecting these agents securely to data. What you saw that happened with OpenAI and Hugging Face—not exactly like that, but in different shapes or forms—is happening now a lot with organizations.
Speaker #5: A misconfigured agent that you don't know what it is doing can inflict a lot of damage and can be just a breach from hell.
Speaker #5: And this is what organizations are understanding that they need to do. So we just see CISOs and also Chief AI Officers that are coming and spending a lot of time with us.
Speaker #5: They understand that AI without data is nothing, and you need to have the entire life cycle of AI in order to take it to production in the right way, to make sure you're in compliance, and then to take care of the pipeline.
Speaker #5: And this is what we see that's starting to generate just a lot of pipeline, and we also see just massive synergies between Atlas and the DSP, the Data Security Platform.
Speaker #5: This is something that works very well. So the net-net of what we see is that AI that can be connected to data securely can be a massive liability, and it just really can be the foundation to realize gains from this technology.
Speaker #1: The next question is from Meta Marshall from Morgan Stanley. Please go ahead.
Speaker #2: Great, thanks so much. I just wanted to follow up on the new ACV that you're seeing. Are there any particular characteristics of those new customers? For example, are they larger, or are they adding more products upfront?
Speaker #2: Any details on that would be helpful. Thank you.
Speaker #5: Hi. You know, what we see essentially is everything we said: you really need three ingredients. You need coverage, and you need automation for the find, fix, and alert.
Speaker #5: And this is something, and you also need scale. And this is what we have. And what happened is that AI—you know, before, when it was with humans—you needed to put a lot of effort in order to expose the data security problems that you have.
Speaker #5: Agent that is running almost all the time, trying to expose the data access control to the maximum, and has a lot of abnormal behaviors and is also non-deterministic.
Speaker #5: You can give an agent the same instruction twice and it will do something completely, completely different. So we definitely see with AI that they are just buying more upfront.
Speaker #5: They are buying more up front, more platforms, and trying to connect it to more AI systems.
Speaker #1: The next question is from Brian Essex from JP Morgan. Please go ahead.
Speaker #3: Hi, good afternoon. Thank you for taking the question. I was wondering if I could actually follow up on Sakit's question. Yaki, can you dig into some of the, I guess, the nature of some of those slip deals?
Speaker #3: What how did you get customers comfortable that your relationship maybe would not be disrupted given the news that was out there? How complex were these deals and what gives you the level of confidence that you can quote these close these deals for the, you know, proper end of the year?
Speaker #3: Thank you.
Speaker #5: You know, getting out of a software company, a lot is happening in the last week of the quarter. So just the timing was bad.
Speaker #5: And we are just, you know, for us it's business as usual. We are building high-value products and making sure that our customers are successful with them.
Speaker #5: And at the end, when you need approvals and stuff of this nature, things like that can just generate additional conversation that can elongate some sales cycles.
Speaker #5: But, you know, we're talking to our customers and just explaining to them, you know, we can't comment on any rumors, but we are committed to you, committed to your success, to keep innovating and making sure that everything is working. And as Guy said, you know, some of them we already closed, and we are in conversation with most of them, and so far it's going very well.
Speaker #3: And when you look at kind of the guidance characteristics, when you look at kind of RAs by $5 million, if you look at the B, about half of that raise is coming from that Q2 B, and our raise above that B only includes some of the slip deals.
Speaker #3: That happened at the end of the quarter, so we're kind of keeping the same responsible guidance philosophy from our perspective. We haven't changed that.
Speaker #3: But when we look at the beginning of July, we had a strong start. We were able to close some of those deals already, and the expectation is that we will close, for the most part, most of those deals throughout the quarter.
Speaker #1: The next question is from Rob Owens with Piper Sandler. Please go ahead.
Speaker #4: Great. Good afternoon. Thanks for taking my question. Nice to see the new product momentum that you guys talked about with the three solutions: Atlas, Interceptor, and the Database Access Management.
Speaker #4: My question is really around: is this doing anything relative to deal complexity, which could be impacting sales cycles? Number one. And number two, are you finding it's a new buyer persona within organizations, as the portfolio has expanded pretty rapidly and seems more kind of runtime defensive?
Speaker #4: But are you selling to a different buyer in organizations at this point?
Speaker #5: Hi. You know, mostly the buyer is the CISO. It's also very interesting that the chief AI officer, we're also talking to them, but the CISO is bringing them because what is happening today in organizations—and I am seeing this adoption curve—is that it's very hard for them to safely connect AI to data.
Speaker #5: So it's become a business enabler. Interceptor is very synergistic to our MDDR, and it's also very interesting how the MDDR is just transforming to AI detection and response.
Speaker #5: And databases, you know, customers want us to cover all the data and the database activity monitoring. Remember, these are new products for us, and we also have a very steep maturity curve with them.
Speaker #5: And we are starting to replace incumbents like, you know, Imperva and IBM Guardium, so this also works for us. But it's usually just the same motion.
Speaker #5: With some contribution from chief AI officers.
Speaker #3: And when we analyze the sales cycles, we haven't seen any change in terms of a longer period. So we're basically tracking the same, relatively, sales cycles even with us selling a larger platform.
Speaker #1: The next question is from Roger Boyd from UBS. Please go ahead.
Speaker #3: Great, thanks for taking the question. Guy, I know you're not guiding to ARR with conversions, and that the assumption for $50 million to $75 million in conversions for the year was unchanged.
Speaker #3: But can you talk qualitatively about what you saw in the first half of the year, kind of where that stood up relative to what we should be mindful of on conversions in the back half of the year, particularly when we look at federal and Q3?
Speaker #3: Thanks.
Speaker #2: Absolutely. So, I think first I'll talk about the conversions, but I think it's very clear from our perspective—and I want to make sure it's clear from an investor's perspective—that the most important metric to track, in terms of the health of the business, is SaaS ARR excluding conversions.
Speaker #2: And that's the reason we're guiding that on a quarterly basis. We have provided a bear case scenario and a full case scenario, kind of keeping that range anywhere between $50 million to $75 million.
Speaker #2: That was provided at the beginning of the year, and we said throughout the year we will not update that number because, A, that's not the focus and, B, we've seen customers actually that were up for renewal in the first part of the year asking to extend the on-prem subscription until the end of the conversion, which will happen in the second part of the year.
Speaker #2: So guiding that on a quarterly basis would actually generate more confusion. But when I track the actual percentages if you look at the first part of the year we were roughly converting about 50% of the expected number.
Speaker #2: And if we continue at that pace, we will be at the low end of our $50 million guidance expectation. But if we actually convert in the second part of the year two-thirds of what is expected to come up for renewal and conversion, we will be at the midpoint.
Speaker #2: And because of the factors that I talked about before which is many of the customers we had some of the customers that wanted to wait until the later part of the year to actually do that conversion getting to that two-thirds is definitely something that we see as an achievable target.
Speaker #2: But again, I do want to make sure that investors understand that the right focus should be on SaaS ARR excluding conversion, because that is really the metric that would show not only how we're performing as a leading indicator right now, but also will be an indicator of how we continue to grow post-transition.
Speaker #1: The next question is from Jason Adder from William Blair. Please go ahead.
Speaker #4: Yeah, thank you. Good afternoon. Can you guys talk about the go-to-market strategy? I know there was a question earlier about, you know, who the buyer is, and I assume that's not changing that much.
Speaker #4: But just maybe the overall strategy—how it might be changing to capture demand related to AI readiness. Are you guys doing anything different than what you've done historically?
Speaker #5: Yeah. Primarily now, you know, is Atlas and obviously database activity monitoring and everything else that we have is just educating the customers of what we have and explain to them how they can get to immediate how they can get to immediate value and ongoing and ongoing value.
Speaker #5: And just to just to follow the same playbook, you know, this is how we're doing, you know, evaluations show the success building operational plan and in and, you know, just win the business and make sure the customer will be successful.
Speaker #5: It's AI security and data security essentially is the same problem. And it's very synergetic to everything that we are doing. And also you're starting to have this new technological stack and, you know, slowly but surely not so slowly the controls are starting to be more you know at the data and the AI level and these are two places that Varonis is playing very well.
Speaker #1: The next question is from Shal Al from TD Cowen. Please go ahead.
Speaker #6: Thank you. Good afternoon, guys. Guy, or Yakov, from a geographic perspective, was performance balanced around the three major theaters? And also, on seven-digit transactions, would you characterize performance this quarter as equal to what you had seen over the course of the past few quarters, specifically on seven-digit transactions?
Speaker #6: Thank you.
Speaker #2: I'll start with the second part of your question. I think we've talked a lot about our desire and philosophy of going up-market, and we have definitely seen that work well for us.
Speaker #2: So we're actually able to get larger deals as the land with the desire to show them the value, give them the protection with the MDDR and then be able to go back to them and do healthy upsells that will continue to generate customer lifetime value and increase the ARR numbers.
Speaker #2: So yes, we have seen that actually occur, and it's part of our focus of going up market. In terms of geographies, this quarter was definitely led by North America, with healthy numbers coming from them.
Speaker #2: And that was really kind of the driver for this quarter.
Speaker #1: The next question is from Joshua Tilton from Wolf Research. Please go ahead.
Speaker #6: Hey, guys. Maybe a quick one from me. I know everybody's kind of asked about the sort of deals already, but I have more of a hypothetical one.
Speaker #6: I'm listening to everything that Yaki's talking about in the beginning of the question. You guys are using lines like, you know, AI security and data security are one and the same.
Speaker #6: It feels like demand for, you know, the Varonis platform will never be stronger than it is today, given all the secular tailwinds around the AI story.
Speaker #6: So, my question is a very high-level point. Why are we seeing more—where and where could we see more—like, why are we hearing more about momentum in newer products that don't feel super related to data and AI security? And we're not hearing more along the lines of, you know, an inflection in demand for the core products, or that there's a line out the door for Varonis because of this tailwind that you're speaking to.
Speaker #6: Does that make sense? It just feels like now, more than ever, you guys should be the number one ticket item. So, is it like a capacity thing?
Speaker #6: Is it a timing thing? Like, how do we think about maybe seeing all the good secular tailwinds we're talking about, you know, show up just a little bit more from a growth perspective, if that makes sense.
Speaker #5: To first remember that we are selling Atlas only for you know three and a half months. And but in general it's primarily related to the adoption of the adoption of AI in organization.
Speaker #5: You spend a lot of they said at the beginning they spend a lot on AI and now they are trying to realize gains. And they understanding the risks and now that they need to be more mature and connecting many more data stores in order to realize the value we believe that just over time we see more and more demand and it will be the foundation for organization to realize value from AI.
Speaker #5: But the reality is that we just see that when we are selling the AI Suite and the Data Suite, they are almost always going together.
Speaker #1: The next question is from Mike Sykos from Needham & Company. Please go ahead.
Speaker #6: Hey, team. Thanks for taking the question here. I had a question—I guess it's for Yaki—on the new product launches. If we're talking about DatAdvantage, or Atlas, or Interceptor, can you help us think about to what degree these new products are benefiting the model today?
Speaker #6: And the reason for the question is really, at least our checks have indicated, for example, that Atlas—and this dovetails nicely with the question from Josh—but Atlas, as an example, you guys are still in the process of education or technology enablement with partners.
Speaker #6: So, the question is really: to what degree are the new products benefiting the model today? Is that quantifiable, or are we still largely building the pipeline?
Speaker #6: And these positive catalysts are on the come.
Speaker #2: So, when we track the momentum and the pipeline generated by the new products, we're definitely seeing an increase in that pipeline, and Atlas is coming up in conversations with customers in a very frequent way.
Speaker #2: Keep in mind the acquisition happened in the middle of Q1, and you know the expectation—its contribution is expected, from our perspective, to start having more of a meaningful contribution in the second part of the year. But when you look at the Q2 performance, I can tell you that we were pleasantly surprised with the contribution coming from Atlas already.
Speaker #2: With the expectation that it could actually do better and have a more meaningful contribution in H2. So, I think when you look at the offering itself, it's a natural extension to the Varonis platform, and the way it's coming up in conversations gives us the confidence that we'll see better contribution in the second part.
Speaker #5: And don't forget that we sell everything through a POC and for the preliminary indicators of a new product that we have together with the platform that we have all the indicators are very very strong.
Speaker #5: Pipeline is very strong and we converted enough Atlas deal to have the confidence that it will do very well.
Speaker #1: The next question is from Rudy Kessinger from DA Davidson. Please go ahead.
Speaker #3: Hey guys, thanks for taking my question. Guy, questions for you. If we look at the assessment where our ex-conversion guide, you know, the implied Q4 number—it's a really big step up over Q3, and on a year-over-year basis, you know, it requires 40% year-over-year growth in the assessment of our ex-conversion.
Speaker #3: So is that more a factor of maybe Q3 being a more conservative bar, given you're not expecting all of those slip deals to close in Q3 in that guidance number, or what else is informing such a significant ramp in the Q4 net new ARR versus Q3?
Speaker #2: First of all, I thought you would ask me why Q3 net SaaS ARR, excluding conversion, is down versus last year. So I'm glad the question is coming on Q4 and being higher.
Speaker #2: But seriously though when you look at Q4 of last year such a large portion such a large dollar amount was related to conversions we had 63 million roughly 63 million dollars of converted dollar amounts in Q4 of last year and that was time that the reps had to focus and deal with the paperwork and the security checklists and deal with procurement and deal with the legal teams and now they don't have to focus on that.
Speaker #2: Keep in mind that the way the commission is structured is that they don't make money that goes towards their quota in 2026 on conversions.
Speaker #2: So their focus on new business and their focus on existing SaaS customers, and only those sales go towards their quota retirement and their acceleration.
Speaker #2: So by having them not focus on the conversion and focus on what they know to do best, I don't see Q4 as a stretch by any way, shape, or form. The philosophy of our guidance has kept being conservative. I feel good with the way we have the setup for H2, and if you take away that $63 million of conversions, you can see that the uplift that you're seeing in Q4 is not that significant.
Speaker #1: The next question is from Richard Poland from Wells Fargo. Please go ahead.
Speaker #4: Hey, thanks for taking my question. I just, you know, I noticed you mentioned GovRamp a few weeks ago, and on top of already having FedRAMP, even just kind of past commentary around the government business and what's assumed around the conversion there as we enter the big federal Q3. Is there anything we should keep in mind into the back half, and any, I guess, change or different perspective?
Speaker #4: How much of that could convert?
Speaker #2: So, obviously when you look at kind of the federal business, I think it's very clear that in previous years it wasn't an area that we did particularly well on. And if you look at kind of the way we've structured the guidance and the focus in Q3, we basically didn't assume any positivity coming from that vertical.
Speaker #2: Obviously, if things go well and we'd be pleasantly surprised, that can be on top of what we guide, but the expectation for us is to kind of look at the enterprise business.
Speaker #2: We know that when you look at the customers that will not convert there's a good vertical of those customers that are state and federal that we already baked in in all of our metrics from whether it's free cash flow or the regular guidance that we have provided and even the conversion assumptions take that into consideration.
Speaker #2: So going into Q3 I think we de-risked that component going into the quarter.
Speaker #1: The next question is from Jonathan Recover from Cantor Fitzgerald. Please go ahead.
Speaker #6: Yeah. Hey, guys. Thank you. Yes, I think this is for you, Yaakov. Just given the convergence we're seeing between identity and data security strategies, I'd love to hear your thoughts and where you see the boundary between Varonis and those identity vendors.
Speaker #6: And then, just in terms of how you're doing on identity solutions—I don't think you mentioned that—but any color on adoption there would be helpful as well.
Speaker #6: Thank you.
Speaker #5: So, we integrate a lot with identity, and we're doing a lot with identity behavior to understand abnormal behavior and posture, but we are not doing, you know, just managing the password and provisioning and stuff of this nature.
Speaker #5: So, once it's getting to the identity access to the actual data resource, it's a place that we play a lot in, and it works very well for us. It's extremely relevant, obviously, to everything that's related to AI security—it's what the identity of the agent is doing.
Speaker #5: It's just part of the overall value proposition and everything that we are doing with MDDR and all the UBA solutions.
Speaker #1: The next question is from Todd Wheeler from Stephens Inc. Please go ahead.
Speaker #7: Good afternoon, and thanks for the question. I just wanted to follow up on the topic of sales productivity. Where do you think you are in terms of realizing the productivity benefits, and then how should we think about that as a tailwind, in terms of what inning we're in there?
Speaker #7: Thank you.
Speaker #2: When we look at the productivity levels of our Salesforce, we have actually seen those levels increase if you compare them to 2025 and 2024. And I'm talking about the mature reps, reps that have been with us for over a year. The reasons for that productivity increase are that not only do we have a much larger platform to sell, but we're going up market, and that's absolutely helped in the levels of productivity. Keep in mind, though, that the new platforms that we have acquired—whether it's Atlas or Interceptor or even DAM—that has a significant market for us to kind of rip and replace. It's a $1 billion market that we're trying to take advantage of.
Speaker #2: Those haven't really kicked in. So our expectation is that with the additional pipeline built that we're seeing, and the fact that we can see those pipelines convert into POs and AOR, our expectation is that the productivity levels can actually continue to increase in the near-term future and the medium term.
Speaker #2: Again, the focus on the larger deals and the platform that we have can really help. I will also say that one of our focuses in terms of hiring is trying to get account managers that are more tenured, that can actually help with the productivity levels.
Speaker #2: So, we're definitely making the right investments in order to take advantage of this market opportunity.
Speaker #1: The next question is from Joseph Gallow from Jefferies. Please go ahead.
Speaker #3: Hi, this is Grant Dorling on for Joe Gallow. Thanks for taking the question. Any update you could give on the Microsoft partnership? Obviously, they've been making their own announcements as it pertains to AI security, so I was just curious about the momentum you were seeing there—and if you expect that to further ramp, or just how you’re thinking about that.
Speaker #3: Thanks.
Speaker #5: You know just in the Microsoft ecosystem obviously it works very well because all the MDDR and the AI security and you know for what organizations have on prem but the overall Microsoft ecosystem in terms of data and AI becoming smaller and smaller part of what we are doing.
Speaker #5: You need to understand that you know if you think about Copilot you know two years ago and now it's just another tool in the overall AI ecosystem of organizations and they have so many data stores from Salesforce to service now Snowflake and Databricks and more and more.
Speaker #5: So it's going well, but the overall Microsoft environment is becoming just a smaller and smaller part of everything that we are protecting.
Speaker #1: The next question is from Fatima Bellani from Citi. Please go ahead.
Speaker #8: Oh, good afternoon. Thank you so much for taking my question. Guy, I wanted to ask you—with about a year, or four quarters' worth, of upsell data points on Interceptor and DAM—I'm wondering if you can put a little bit more of a quantitative context on what type of realized upsell levels you're seeing on a base core product deal for some of these newer solutions. I recognize Atlas is still early, so maybe just focusing on DAM and Interceptor, because they've been close to being in the market for one year and being GA.
Speaker #8: Thank you.
Speaker #2: So when you look at Interceptor that was actually closed in the last month of Q3 so basically we've only had Q4 and the first part of this year to actually get it as part of the product and sell it in an integrated way.
Speaker #2: I will say that when we look at the Interceptor, we are seeing that it mostly caters to our existing customers, so we're going to the base and trying to connect it together with the MDDR, which is a very strong value proposition, and that's kind of the motion that we're seeing currently.
Speaker #2: I will say that DAM is definitely an opportunity from a new customer perspective and an existing customer perspective to kind of go after that $1 billion ARR amount that, when you think about it, is comprised of and very much isolated by several hundred customers that we're going after.
Speaker #2: So when you look at kind of the mechanics of that I can tell you that we haven't it's been very encouraging and we've seen it definitely help us in Q2 but not anywhere close in terms of the potential that we think it can actually contribute not only in H2 but also in the years ahead.
Speaker #2: So, we're definitely very focused on having it as part of the platform. And the fact that you take those two offerings, add Atlas on top of that—which is coming up literally in almost every conversation with customers—and you get a really strong platform offering that we believe we can use to take advantage of the market opportunity.
Speaker #1: The next question is from Eric Supiger from B. Riley Securities. Please go ahead.
Speaker #4: Yeah, thanks for taking the question. Several vendors have introduced products that have some overlap with Atlas over the first half of this year. Can you discuss the competitive dynamics for that product, and if you have any type of win rate, can you share any of those metrics?
Speaker #5: Yeah. So Atlas is the most comprehensive when you're looking at the all life cycle of AI, in terms of just posture, compliance, penetration testing, and so forth.
Speaker #5: It's just a great platform, but also it integrates unbelievably well with data. And the founder of Atlas, he understands data very well. He did two companies—he was really the pioneer of database activity monitoring—and he did it and he understood very well that eventually, in order to realize value, it needs to be connected to data. So once we are coming with the platform together on the AI side throughout the whole life cycle, how to take it to production and monitoring, and all the automation, the robotic value proposition and the ability in a very elegant way to support all the AI systems and then connect it to pipeline to data, this is really where we are uncontested.
Speaker #1: The next question is from Shenrik Kosari from Baird. Please go ahead.
Speaker #3: Yeah, thanks for taking my question. So just on the gross margins: sequentially, they're down about 20 bps, and now about 290 bps from last year, even as operating margin seems to be improving with the SaaS mix growing. Just how much of the gross margin trends are reflective of the pricing environment versus all the acquisition integration? And is this dynamic arising from sort of new logos being stronger for you guys recently, or new products structurally maybe carrying lower gross margins, and as this shifts towards sort of broader AI runtime security?
Speaker #2: None of the above. When you look at the gross margins, they're actually tracking according to our plan, and I would actually even go further and say that they're better than what we initially planned for when we introduced the SaaS offering.
Speaker #2: So if you look at kind of the evolution of the gross margin the investments that we have made initially kind of are bringing gross margins down but they're actually not only are expected to tick up back again as we kind of complete the transition but also if you compare that to some of the internal plans that we have had they're actually doing better.
Speaker #2: So we're not seeing any price pressures. We're not seeing—I don't think it relates—it definitely doesn't relate to any of the items that you mentioned above.
Speaker #1: The next question is from Junaid Siddiqui from Truist Securities. Please go ahead.
Speaker #3: Great, thank you for taking my question. You know, historically you've benefited from data security budgets, but increasingly you're talking about AI security and AI transformation initiatives.
Speaker #3: Are you seeing deals funded by entirely new AI budgets, or are customers largely reallocating spend away from existing security vendors' endpoint products?
Speaker #5: It depends for each product. You know, because the platform is big, so for the DAM we definitely take it from Improve and Guardian. Interceptor—there are people who have several layers of email security, but it's primarily social engineering.
Speaker #5: Today, this is how bad actors are getting in, so we really can retire one of the layers of email security. In the data, we are the dominant force. But usually, if there is any DSPM or something like that, it's also a budget that we can take. But we also see that organizations are contributing more from what they call digital transformation and AI budgets. There is just a security component for this new technology, and also companies are starting, more and more, to contribute budget from this bucket.
Speaker #1: There are no further questions at this time. I would like to turn the floor back over to Tim Perz for closing comments.
Speaker #3: Thanks for the interest in Varonis. We look forward to seeing everyone at conferences this quarter. Please reach out if you would like a call back.
