Q1 2027 Autodesk Inc Earnings Call

May 28, 2026

Speaker #1: Autodesk disclaims any obligation to update or revise any forward-looking statements. We will quote several numerical growth changes during this call, and as we discuss our financial performance.

Simon Mays-Smith: Autodesk disclaims any obligation to update or revise any forward-looking statements. We will quote several numerical growth changes during this call, and as we discuss our financial performance. Unless otherwise noted, each such reference represents a year-on-year comparison. All non-GAAP numbers referenced in today's call are reconciled in our press release and supplemental materials available on our investor relations website, where you will also find a presentation deck on the acquisition announced today. Now, I will turn the call over to Andrew.

Speaker #1: Unless otherwise noted, each such reference represents a year-on-year comparison. All non-GAAP numbers referenced in today's call are reconciled in our press release and supplemental materials available on our investor relations website, where you will also find a presentation deck on the acquisition announced today.

Speaker #1: And now I will turn the call over to Andrew.

Speaker #2: Thank you, Simon, and welcome everyone to the call. We delivered strong Q1 fiscal '27 results today with revenue and earnings per share above the high end of our guidance ranges, and this outperformance flows through to our full-year guidance.

Andrew Anagnost: Thank you, Simon, and welcome everyone to the call. We delivered strong Q1 fiscal 2027 results today, with revenue and earnings per share above the high end of guidance ranges, and this outperformance flows through to our full year guidance. Today, we shared in a separate announcement that we have entered into a definitive agreement to acquire MaintainX, a leading modern maintenance and asset operations solutions used by organizations to manage and optimize day-to-day operations. The acquisition reflects Autodesk's commitment to becoming a long-term leader in operations and builds upon Autodesk Operations Solutions, AOS, capabilities in digital twins and factory design. I'm going to devote my opening remarks to operations and will return to our other strategic initiatives after Janesh's discussion of our financial performance and guidance. Autodesk strategy is to converge design, make, and operate data and context continuously through the full life cycle.

Speaker #2: Today, we shared in a separate announcement that we have entered into a definitive agreement to acquire MaintainX, a leading modern maintenance and asset operations solution used by organizations to manage and optimize day-to-day operations.

Speaker #2: The acquisition reflects Autodesk's commitment to becoming a long-term leader in operations and builds upon Autodesk Operations Solutions (AOS) capabilities in digital twins and factory design.

Speaker #2: I'm going to devote my opening remarks to operations, and we'll return to our other strategic initiatives after Janesh's discussion of our financial performance and guidance.

Andrew Anagnost: I'm going to devote my opening remarks to operations and will return to our other strategic initiatives after Janesh's discussion of our financial performance and guidance. Autodesk strategy is to converge design, make, and operate data and context continuously through the full life cycle. This benefits owners, designers, builders, manufacturers, and operators through increased efficiency and resilience, and reduced risk and downtime. Operations is highly complementary to the Design and Make category, reflecting growing customer demand and more continuous data-driven workflows from concept through to operation and optimization.

Speaker #2: Autodesk's strategy is to converge design, make, and operate data and context continuously through the full lifecycle. This benefits owners, designers, builders, manufacturers, and operators through increased efficiency and resilience, and reduced risk and downtime.

Andrew Anagnost: This benefits owners, designers, builders, manufacturers, and operators through increased efficiency and resilience, and reduced risk and downtime. Operations is highly complementary to the Design and Make category, reflecting growing customer demand and more continuous data-driven workflows from concept through to operation and optimization. With this expansion in Operations, we plan to unlock higher value system-level AI, extend our duration with assets and systems from years to decades, and meaningfully expand our addressable market. MaintainX helps organizations manage maintenance, assets, and frontline operations with a modern mobile-first platform with pre-built integrations that serve as both a system of record and action for day-to-day operational workflows. It's led by a world-class engineering and AI talent and delivers a scalable go-to-market growth motion for Operations and strong expansion potential across customer segments, geographies, and adjacent use cases.

Speaker #2: Operations is highly complementary to the Design and Make category, reflecting growing customer demand and more continuous, data-driven workflows from concept through to operation and optimization.

Speaker #2: With this expansion in operations, we plan to unlock higher value system-level AI, extend our duration with assets and systems from years to decades, and meaningfully expand our addressable market.

Andrew Anagnost: With this expansion in Operations, we plan to unlock higher value system-level AI, extend our duration with assets and systems from years to decades, and meaningfully expand our addressable market. MaintainX helps organizations manage maintenance, assets, and frontline operations with a modern mobile-first platform with pre-built integrations that serve as both a system of record and action for day-to-day operational workflows. It's led by a world-class engineering and AI talent and delivers a scalable go-to-market growth motion for Operations and strong expansion potential across customer segments, geographies, and adjacent use cases.

Speaker #2: MaintainX helps organizations manage maintenance, assets, and frontline operations with a modern, mobile-first platform, featuring pre-built integrations that serve as both a system of record and a system of action for day-to-day operational workflows.

Speaker #2: It's led by a world-class engineering and AI talent and delivers a scalable go-to-market growth motion for operations and strong expansion potential across customer segments, geographies, and adjacent use cases.

Speaker #2: It's positioned as a key component of maintenance and operational activity. It gives Autodesk access to rich data on asset condition and history, inspections, maintenance patterns, and real-world performance.

Andrew Anagnost: Its position as a key component of maintenance and operational activity gives Autodesk access to rich data on asset condition and history, inspections, maintenance patterns, and real-world performance. Bringing MaintainX into Autodesk begins to build the data and context loop that enables a new generation of more integrated, data-driven, and AI-powered capabilities, connecting digital Design and Make with real-world performance to deliver predictive maintenance, intelligent automation, and real-time decision support. In short, we are excited to welcome the MaintainX team to Autodesk, and this acquisition will position us to help our customers increase efficiency and resilience, and reduce risk and downtime through convergence. Janesh, over to you to discuss our quarterly financial performance and guidance.

Speaker #2: Bringing MaintainX into Autodesk begins to build the data and context loop that enables a new generation of more integrated, data-driven, and AI-powered capabilities, connecting digital design and make with real-world performance to deliver predictive maintenance, intelligent automation, and real-time decision support.

Speaker #2: In short, we are excited to welcome the MaintainX team to Autodesk, and this acquisition will position us to help our customers increase efficiency and resilience and reduce risk and downtime through convergence.

Speaker #2: Janesh, over to you to discuss our quarterly financial performance and guidance.

Speaker #3: Thanks, Andrew. Q1 was another strong quarter. Overall, the underlying momentum of the business was consistent with prior quarters, and a bit better than the assumptions we'd built into our guidance range, with strengths coming from similar industry segments in ACO, particularly in construction and emerging markets.

Janesh Moorjani: Thanks, Andrew. Q1 was another strong quarter. Overall, the underlying momentum of the business was consistent with prior quarters and a bit better than the assumptions we'd built into our guidance range, with strength coming from similar industry segments in AECO, particularly in construction and emerging markets. Our sales reorganization is proceeding as planned. The overall impact in new subscription growth was within the range of our expectations, while upfront revenue was less impacted than we expected. Renewal rates remained strong. Total revenue in the first quarter grew 18% as reported, and 16% in constant currency. As expected, the new transaction model provided a tailwind of roughly 3.5 percentage points to revenue growth in the first quarter. Please see the tables in our press release, earnings deck, and Excel financials for details by product and region. Billings increased 18% as reported, and 15% in constant currency.

Speaker #3: Our sales reorganization is proceeding as planned. The overall impact in new subscription growth was within the range of our expectations, while upfront revenue was less impacted than we expected.

Speaker #3: Renewal rates remain strong. Total revenue in the first quarter grew 18% as reported and 16% in constant currency. As expected, the new transaction model provided a tailwind of roughly 3.5 percentage points to revenue growth in the first quarter.

Speaker #3: Please see the tables in our press release, earnings deck, and Excel financials for details by product and region. Billings increased 18% as reported and 15% in constant currency.

Janesh Moorjani: Please see the tables in our press release, earnings deck, and Excel financials for details by product and region. Billings increased 18% as reported, and 15% in constant currency.

Speaker #3: The new transaction model provided a tailwind of roughly 1.5 percentage points to billings growth in the first quarter. We completed the transition to annual billings for most multi-year contracts during the quarter, so there will no longer be noise in billings from that transition. However, with the ongoing reduction in the level of multi-year discounting, we expect the shift from multi-year to annual contracts will continue to benefit price realization, while also weighing on unbilled deferred revenue growth.

Janesh Moorjani: The new transaction model provided a tailwind of roughly 1.5 percentage points to billings growth in Q1. We completed the transition to annual billings for most multi-year contracts during the quarter, so there will no longer be noise in billings from that transition. With the ongoing reduction in the level of multi-year discounting, we expect the shift from multi-year to annual contracts will continue to benefit price realization while also weighing on unbilled deferred revenue growth. Turning to margins. Q1 GAAP and non-GAAP operating margins were 28% and 39% respectively. GAAP operating margin increased approximately 14 percentage points, primarily due to the absence of one-time charges and underlying margin improvements. Non-GAAP operating margin was up approximately 2 percentage points. This primarily reflected operating leverage and the benefits from our sales optimization.

Speaker #3: Turning to margins, first quarter GAAP and non-GAAP operating margins were 28% and 39%, respectively. GAAP operating margin increased approximately 14 percentage points, primarily due to the absence of one-time charges and underlying margin improvements.

Speaker #3: Non-GAAP operating margin was up approximately 2 percentage points. This primarily reflected operating leverage and the benefits from our sales optimization. First quarter free cash flow of $876 million benefited from typical seasonal strength, partly offset by cash restructuring costs.

Janesh Moorjani: First quarter free cash flow of $876 million benefited from typical seasonal strength, partly offset by cash restructuring costs. Moving on to capital allocation. We repurchased approximately 1.9 million shares during the quarter for $448 million. We continue to expect our share buyback in fiscal 2027 to be similar to fiscal 2026 in total dollars. We expect to maintain a healthy buyback program that continues to apply approximately 50% of free cash flow to further reduce share count over time. Our capital allocation framework is unchanged. In addition to share repurchases, we still plan to deploy cash to the highest return opportunities, prioritizing organic investment in R&D, including cloud platform and AI, and accelerating the realization of our strategy with targeted and tuck-in acquisitions. MaintainX is a good example of this and will be the cornerstone in scope and scale of our acquisition investment in operations.

Speaker #3: Moving on to capital allocation, we repurchased approximately $1.9 million shares during the quarter for $448 million. We continue to expect our share buyback in fiscal '27 to be similar to fiscal '26 in total dollars.

Speaker #3: We expect to maintain a healthy buyback program that continues to apply approximately 50% of free cash flow to further reduce share count over time.

Speaker #3: Our capital allocation framework is unchanged. In addition to share repurchases, we still plan to deploy cash to the highest return opportunities prioritizing organic investment in R&D, including cloud platform and AI, and accelerating the realization of our strategy with targeted and tuck-in acquisitions.

Speaker #3: MaintainX is a good example of this and will be the cornerstone in scope and scale of our acquisition investment in operations. Building on our successful expansion in construction, we're applying the same playbook to expand in operations.

Speaker #3: The foundation is the same—a cornerstone acquisition of an established and disruptive market leader with a strong go-to-market motion. We expect to fund the acquisition of MaintainX through a combination of cash on hand and debt financing.

Janesh Moorjani: Building on our successful expansion in construction, we're applying the same playbook to expand in operations. The foundation is the same. A cornerstone acquisition of an established and disruptive market leader with a strong go-to-market motion. We expect to fund the acquisition of MaintainX through a combination of cash on hand and debt financing. MaintainX expects to achieve in excess of $135 million of annualized recurring revenue this calendar year with growth in excess of 50%. We expect the transaction to close later this fiscal year, subject to regulatory approvals. We will include the impact of the acquisition in our guidance after the transaction closes. We intend to absorb the margin dilution from MaintainX within our fiscal 2027 and fiscal 2029 margin goals. After close, MaintainX will be integrated into Autodesk Operations Solutions, or AOS, under Stephen Hooper, SVP of AOS.

Speaker #3: MaintainX expects to achieve an excess of $135 million in annualized recurring revenue this calendar year, with growth in excess of 50%. We expect the transaction to close later this fiscal year, subject to regulatory approvals.

Speaker #3: We will include the impact of the acquisition in our guidance after the transaction closes. We intend to absorb the margin dilution from MaintainX within our fiscal '27 and fiscal '29 margin goals.

Speaker #3: After close, MaintainX will be integrated into Autodesk Operations Solutions (AOS) under Steve Hooper, SVP of AOS. As many of you who have met him over the years know, Steve brings the product vision, go-to-market expertise, and decades of operational experience at scale to turn AOS into our next major growth engine.

Janesh Moorjani: As many of you who have met him over the years know, Steve brings the product vision, go-to-market expertise, and decades of operational experience at scale to turn AOS into our next major growth engine. Let me finish with guidance. Our guidance philosophy is unchanged. Our guidance continues to be based on the range of possible outcomes in our bottom-up sales forecast, which is grounded in the momentum of business and embeds prudence to reflect temporary risk to billings and revenue as we operationalize our sales optimization plan. Full-year guidance assumptions that we described last quarter remain largely unchanged. We assume the macroeconomic environment will remain broadly stable through the year. Billings and revenue guidance continue to reflect potential disruption from our sales restructuring, consistent with the plan we laid out in February and what we saw in Q1.

Speaker #3: Let me finish with guidance. Our guidance philosophy is unchanged. Our guidance continues to be based on the range of possible outcomes in our bottom-up sales forecast, which is grounded in the momentum of the business and embeds prudence to reflect temporary risk to billings and revenue as we operationalize our sales optimization plan.

Speaker #3: Full-year guidance assumptions that we described last quarter remain largely unchanged. We assume the macroeconomic environment will remain broadly stable through the year. Billings and revenue guidance continue to reflect potential disruption from our sales restructuring, consistent with the plan we laid out in February and what we saw in the first quarter.

Speaker #3: We continue to expect billings to be slightly more weighted to the second half, in part reflecting that disruption and in part due to the weighting of our largest EBA cohort in the fourth quarter.

Speaker #3: Noise from the new transaction model will significantly diminish during the year, from an approximately 3.5 percentage point tailwind to revenue growth in Q1 to approximately 2 percentage points in Q2, an averaging out at approximately 1.5 percentage points for the full year.

Janesh Moorjani: We continue to expect billings to be slightly more weighted to the H2, in part reflecting that disruption, and in part due to the weighting of our largest EBA cohort in the Q4. Noise from the new transaction model will significantly diminish during the year, from an approximately 3.5 percentage point tailwind to revenue growth in Q1 to approximately 2 percentage points in Q2, and averaging out at approximately 1.5 percentage points for the full year. We will talk about it less as that noise fades. Non-GAAP margins will continue to reflect ongoing operating leverage, savings from restructuring, and sustained investments in our long-term strategic priorities. Free cash flow in fiscal 2027 will continue to reflect discrete restructuring outflows and tax benefits. The net effect of these discrete cash movements is immaterial to free cash flow in fiscal 2027.

Speaker #3: We'll talk about it less as that noise fades. Non-GAAP margins will continue to reflect ongoing operating leverage, savings from restructuring, and sustained investments in our long-term strategic priorities.

Speaker #3: Free cash flow in fiscal '27 will continue to reflect discrete restructuring outflows and tax benefits. The net effect of these discrete cash movements is immaterial to free cash flow in fiscal '27.

Speaker #3: Our US federal cash tax payments will begin to normalize in fiscal '28. We continue to manage our stock-based compensation with discipline. We expect SPC to fall below 10% of revenue in fiscal '27, continuing the trend of the last few years.

Janesh Moorjani: Our US federal cash tax payments will begin to normalize in fiscal 2028. We continue to manage our stock-based compensation with discipline. We expect SBC to fall below 10% of revenue in fiscal 2027, continuing the trend of the last few years. Reflecting all this for fiscal 2027, we've raised the bottom end of our prior billings guidance to a range of $8.505 to 8.58 billion, reflecting the sustained momentum of the business. We've raised our revenue guidance to a range of $8.155 to 8.215 billion, reflecting our strong results in the Q1. Our GAAP operating margin guidance range is 26% to 28%. We've raised our non-GAAP operating margin guidance to approximately 39%, reflecting our increased revenue guidance. We've also raised the bottom end of our free cash flow guidance to a range of $2.725 to 2.8 billion.

Speaker #3: Reflecting all this for fiscal '27, we've raised the bottom end of our prior billings guidance to a range of $8.505 billion to $8.58 billion, reflecting the sustained momentum of the business.

Speaker #3: We've raised our revenue guidance to a range of $8.155 billion to $8.215 billion, reflecting our strong results in the first quarter. Our GAAP operating margin guidance range is 26 to 28 percent.

Speaker #3: We've raised our non-gap operating margin guidance to approximately 39%, reflecting our increased revenue guidance. We've also raised the bottom end of our free cash flow guidance to a range of 2.725 billion dollars to 2.8 billion dollars.

Speaker #3: In summary, we remain disciplined and focused on the controllable factors that drive our revenue, operating margin, earnings per share, and capital allocation, which are the key building blocks of free cash flow per share.

Speaker #3: The slide deck on our website has modeling assumptions for the second quarter and full fiscal year '27. Andrew, back to you.

Janesh Moorjani: In summary, we remain disciplined and focused on the controllable factors that drive our revenue, operating margin, earnings per share, and capital allocation, which are the key building blocks of free cash flow per share. The slide deck on our website has modeling assumptions for Q2 and full fiscal year 2027. Andrew, back to you.

Speaker #2: Thank you, Janesh. Autodesk is focused on convergence, powered by our platform, industry clouds, and AI. Let me give you some examples of our progress in the quarter that demonstrate how this differentiated strategy works.

Andrew Anagnost: Thank you, Janesh. Autodesk is focused on convergence powered by our platform, industry clouds, and AI. Let me give you some examples of our progress in the quarter that demonstrate how this differentiated strategy works. For our customers in architecture, engineering, construction, manufacturing, and operations, convergence increases efficiency and resilience and reduces risk and downtime. All of this is in service of deploying fewer resources to every project so they can bid on and win more projects with the resources they have. As you can see in the performance of Make, Forma for Construction's revenue growth accelerated again and has strong momentum with owners, designers, GCs, and subcontractors seeking to converge design and construction workflows. Once again, customers are choosing to consolidate fragmented legacy systems onto Autodesk platform.

Speaker #2: For our customers in architecture, engineering, construction, manufacturing, and operations, convergence increases efficiency and resilience and reduces risk and downtime. All of this is in service of deploying fewer resources to every project, so they can bid on and win more projects with the resources they have.

Speaker #2: As you can see in the performance of Make, former for construction's revenue growth accelerated again and has strong momentum with owners, designers, GCs, and subcontractors seeking to converge design and construction workflows.

Speaker #2: Once again, customers are choosing to consolidate fragmented legacy systems onto the Autodesk platform. For example, Dome Construction, an ENR Top 400 general contractor, selected Autodesk for construction to replace disconnected legacy point solutions and standardized workflows across pre-construction, VDC, project execution, cost management, and turnover.

Andrew Anagnost: For example, Dome Construction, an ENR Top 400 general contractor, selected Forma for Construction to replace disconnected legacy point solutions and standardize workflows across pre-construction, VDC, project execution, cost management, and turnover. In Europe, Essex Services Group, a leading UK building services contractor, signed a multi-year enterprise agreement for Forma Build to consolidate fragmented systems across complex data center and commercial projects. Germany's largest municipal water utility, Berliner Wasserbetriebe, expanded its use of Autodesk solutions, including Forma Design Collaboration, to modernize collaboration across water infrastructure planning and delivery. These stories have a common theme: converging people, processes, and data across the project life cycle to increase efficiency and resilience, decrease risk, and prepare for an agentic AI world. Our comprehensive end-to-end industry clouds and platform drive convergence and extend our footprint further into the larger growth segments.

Speaker #2: In Europe, Essex Services Group, a leading UK building services contractor, signed a multi-year enterprise agreement for former build to consolidate fragmented systems across complex data center and commercial projects.

Speaker #2: And Germany's largest municipal water utility, Berlinwasser, expanded its use of Autodesk solutions, including Forma for design collaboration, to modernize collaboration across water infrastructure planning and delivery.

Speaker #2: These stories have a common theme: converging people, processes, and data across the project lifecycle to increase efficiency and resilience, decrease risk, and prepare for an agentic AI world.

Speaker #2: Our comprehensive end-to-end industry clouds and platform drive convergence and extend our footprint further into the larger growth segment. In manufacturing, customers are demanding convergence as they invest in their digital transformation to leverage granular and unified data and embrace AI-driven automation capable of industry transformation.

Speaker #2: By consolidating on our platform, customers have the flexibility and connectivity across workflows to increase agility, innovation, and resilience. For example, low services, the shared services of the Freedhelm Low Group, a German industrial technology conglomerate, renewed and expanded its enterprise agreement with Autodesk to better connect CAD, product data management, and enterprise systems, reducing fragmentation and accelerating time to market.

Andrew Anagnost: In manufacturing, customers are demanding convergence as they invest in their digital transformation to leverage granular and unified data and embrace AI-driven automation capable of industry transformation. By consolidating on our platform, customers have the flexibility and connectivity across workflows to increase agility, innovation, and resilience. For example, Loh Services, the shared services of the Friedhelm Loh Group, a German industrial technology conglomerate, renewed and expanded its enterprise agreement with Autodesk to better connect CAD, product data management, and enterprise systems, reducing fragmentation and accelerating time to market. In the US, a leading automotive manufacturer renewed its enterprise agreement with Autodesk to advance its factory of the future strategy, standardizing on Autodesk solutions across digital factory and AECO workflows to reduce vehicle lead times and scale factory design simulation across 14 factories for more proactive, data-driven production planning.

Speaker #2: In the U.S., a leading automotive manufacturer renewed its enterprise agreement with Autodesk to advance its factory of the future strategy, standardizing on Autodesk solutions across digital factory and AECO workflows to reduce vehicle lead times and scale factory design simulation across 14 factories for more proactive, data-driven production planning.

Speaker #2: In addition, a visual display and fabrication company replaced a legacy design solution with Fusion after a multi-month evaluation, connecting design and manufacturing in the cloud to reduce handoffs and move projects through development faster.

Speaker #2: And in Europe, Scheidl, a leading manufacturer of chimney systems, implemented an integrated inventor, vault, and Fusion workflow to automate product configuration, generating thousands of modular component variants automatically to fast-track assembly and drawing creation.

Andrew Anagnost: In addition, a visual display and fabrication company replaced a legacy design solution with Fusion after a multi-month evaluation, connecting design and manufacturing in the cloud to reduce handoffs and move projects through development faster. In Europe, Schiedel, a leading manufacturer of chimney systems, implemented an integrated Inventor, Vault, and Fusion workflow to automate product configuration, generating thousands of modular component variants automatically to fast-track assembly and drawing creation. All of this was reflected in Fusion's accelerating growth. Let me finish by talking about AI. As I said last quarter, building agentic AI requires data, context, and expertise. What differentiates Autodesk is that we have all three at scale, and each one is scarce. We have scarce geometric-rich data from real design and Make workflows that lets us build frontier 3D foundation models grounded in how the built world is actually designed and made.

Speaker #2: All of this was reflected in Fusion's accelerating growth. Let me finish by talking about AI. As I said last quarter, building agentic AI requires data, context, and expertise.

Speaker #2: What differentiates Autodesk is that we have all three at scale, and each one is scarce. We have scarce geometric-rich data from real design and make workflows that lets us build frontier 3D foundation models grounded in how the built world is actually designed and made.

Speaker #2: We have real-world workflow context, including design intent, constraints, constructability, coordination, and trade-offs that enable industry-specific MCP and agentic-based workflows that work reliably across the lifecycle.

Andrew Anagnost: We have scarce geometric-rich data from real design and Make workflows that lets us build frontier 3D foundation models grounded in how the built world is actually designed and made.

Speaker #2: And we have deep domain and technical expertise that translates data and context into trusted products, defensible IP, and knowledge graphs built for professional-grade outcomes.

Andrew Anagnost: We have real-world workflow context, including design intent, constraints, constructability, coordination, and trade-offs that enable industry-specific MCP and agentic-based workflows that work reliably across the lifecycle. We have deep domain and technical expertise that translates data and context into trusted products, defensible IP, and knowledge graphs built for professional-grade outcomes. That foundation matters because our customers do not just need AI that can generate. They need AI that produces outputs that are correct in the real world. That is a hard problem, and we are using a hybrid approach to solve it. We are combining probabilistic AI generation with deterministic engineering validation using parametric and physics-based engines designed to reason about the physical world in 3D, so AI-generated outcomes can be validated against real-world constraints. Simply put, AI can generate, and our engines can validate. Let me unpack that a bit.

Speaker #2: That foundation matters because our customers do not just need AI that can generate; they need AI that produces outputs that are correct in the real world.

Speaker #2: That is a hard problem, and we are using a hybrid approach to solve it. We are combining probabilistic AI generation with deterministic engineering validation using parametric and physics-based engines designed to reason about the physical world in 3D, so AI-generated outcomes can be validated against real-world constraints.

Speaker #2: Simply put, AI can generate, and our engines can validate. Let me unpack that a bit. Frontier models are incredibly capable, but they are still fundamentally vision and language systems.

Speaker #2: Simply generating drawings is very different from understanding how something performs, behaves, or can actually be manufactured and constructed. For our customers, that accuracy matters.

Speaker #2: Through assistance and MCP infrastructure, Autodesk provides the harness layer that makes frontier models more controllable, context-aware, and useful across the lifecycle. Autodesk Assistant is a good example already in market, and there are even more powerful tools on the way.

Andrew Anagnost: Frontier models are incredibly capable, but they are still fundamentally vision and language systems. Simply generating drawings is very different from understanding how something performs, behaves, or can actually be manufactured and constructed. For our customers, that accuracy matters. Through assistants and MCP infrastructure, Autodesk provides the harness layer that makes frontier models more controllable, context-aware, and useful across the lifecycle. Autodesk Assistant is a good example already in market, and there are even more powerful tools on the way. We are going much further than MCP and agent-based workflows. Autodesk 3D foundation models use decades of engineering intelligence combined with trusted product engines to directly reason about geometry and physical relationships, enabling workflows like similarity search, drawing dimensions, constraints, building plans, and geometry-aware automation. AutoConstrain in Fusion and more expansive features like our soon-to-be-launched Building Layout Explorer in Forma are good examples of our progress here.

Speaker #2: But we are going much further than MCP and agent-based workflows. Autodesk 3D Foundation Models use decades of engineering intelligence combined with trusted product engines to directly reason about geometry and physical relationships.

Speaker #2: Enabling workflows like similarity search, drawing dimensions, constraints, building plans, and geometry-aware automation. AutoConstraint in Fusion and more expansive features, like our soon-to-be-launched building layout explorer Informa, are good examples of our progress here.

Speaker #2: When Autodesk AI generates a design, revision, manufacturing toolpath, routing layout, or simulation setup, that output is validated to the same core parametric models from Autodesk that our customers have trusted for decades.

Speaker #2: These systems perform deterministic checks for geometric integrity, manufacturability, constructability, standards compliance, and performance. Every validation loop also improves the platform itself, continuously strengthening our AI models' validation systems and quality thresholds over time.

Andrew Anagnost: When Autodesk AI generates a design revision, manufacturing tool path, routing layout, or simulation setup, that output is validated through the same core parametric models from Autodesk that our customers have trusted for decades. These systems perform deterministic checks for geometric integrity, manufacturability, constructability, standards compliance, and performance. Every validation loop also improves the platform itself, continuously strengthening our AI models, validation systems, and quality thresholds over time. With MaintainX, we intend to extend those capabilities to develop digital twins that move beyond descriptive and informative models to high-value predictive and autonomous workflows and systems. This combination of probabilistic AI generation and deterministic engineering validation is why we said last quarter that 3D agentic AI requires high-fidelity, geometry-rich data, deep industry context embedded in real-world design and make processes, and specialized 3D AI expertise. Few companies have all these. Autodesk does.

Speaker #2: With maintainX, we intend to extend those capabilities to develop digital twins that move beyond descriptive and informative models to high-value predictive and autonomous workflows and systems.

Speaker #2: This combination of probabilistic AI generation and deterministic engineering validation is why we said last quarter that 3D agentic AI requires high-fidelity, geometry-rich data, deep industry context, embedding in real-world design and make processes, and specialized 3D AI expertise.

Speaker #2: Few companies have all these. Autodesk does. It's why we believe Autodesk will define the next generation of industrial AI. Operator, we would now like to open the call up for questions.

Speaker #1: Thank you. As a reminder, to ask a question, please press star 11 on your telephone and wait for your name to be announced. To withdraw your question, please press star 11 again.

Andrew Anagnost: It's why we believe Autodesk will define the next generation of industrial AI. Operator, we would now like to open the call up for questions.

Speaker #1: One moment, please. And our first question comes from the line of Sackett Kalia with Barclays.

Operator: Thank you. As a reminder, to ask a question, please press star one one on your telephone and wait for your name to be announced. To withdraw your question, please press star one one again. One moment, please. Our first question comes from the line of Saket Kalia with Barclays.

Speaker #2: Okay, great. Hey, guys, thanks for taking my questions here, and congrats on MaintainX.

Speaker #3: Thanks, Sackett.

Speaker #4: Thank you, Sackett.

Speaker #2: Sure thing. Andrew, maybe that's a good place to start with you. Broadly speaking, could you just give us a bit more color on MaintainX as a company and how it maybe helps further Autodesk's sort of strategic goals long term?

Saket Kalia: Okay, great. Hey, guys. Thanks for taking my questions here, and congrats on MaintainX.

Andrew Anagnost: Thanks, Saket.

Janesh Moorjani: Thanks, Saket.

Speaker #4: Yeah, I think that's an excellent place to start, Sackett. So let's start with the broader strategic context. At Autodesk, our goal is to converge the entire built-world lifecycle from design, make, all the way through operate, and close that loop.

Saket Kalia: Sure thing. Andrew, maybe that's a good place to start with you. Broadly speaking, could you just give us a bit more color on MaintainX as a company and how it maybe helps further Autodesk's sort of strategic goals long term?

Speaker #4: You've already seen us make a lot of great progress on the design and make side of this. You've seen what we've done in manufacturing and construction.

Andrew Anagnost: Yeah, I think that's an excellent place to start, Saket. Let's start with the broader strategic context. At Autodesk, our goal is to converge the entire built world life cycle from design, Make, all the way through operate, and close that loop. You've already seen us make a lot of great progress in the design and Make side of this. You've seen what we've done in manufacturing construction. Now we're moving more aggressively into operations, and this is going to unlock a deeper and broader data and context layer that makes our capabilities more powerful in the agentic world. It's going to unlock a $40 billion TAM for us, and it's also going to advance our digital twin strategy from static to dynamic and ultimately to predictive. Let me tell you a little bit about the scope of our ambition and then how MaintainX plays into it.

Speaker #4: Now we're moving more aggressively into operations, and this is going to unlock a deeper and broader data and context layer that makes our capabilities more powerful in the agentic world.

Speaker #4: It's going to unlock a $40 billion TAM for us, and it's also going to advance our digital twins strategy from static, to dynamic, and ultimately, to predictive.

Speaker #4: And let me tell you a little bit about the scope of our ambition, and then how MaintainX plays into it. Our scope spans all the way from product manufacturing through to critical infrastructure like water and data centers, through to transportation—which is like airports—into commercial buildings.

Andrew Anagnost: It's going to unlock a $40 billion TAM for us, and it's also going to advance our digital twin strategy from static to dynamic and ultimately to predictive. Let me tell you a little bit about the scope of our ambition and then how MaintainX plays into it.

Speaker #4: And if you just look narrowly at the product manufacturing piece, today we can build static twins with tandem dynamic twin capabilities that help define how a factory works with FlexSim and ultimately look at the operations with Fusion Operations.

Andrew Anagnost: Our scope spans all the way from product manufacturing through to critical infrastructure like water and data centers, through to transportation, which is like airports, into commercial buildings. If you just look narrowly at the product manufacturing piece, today, we can build static twins with Tandem, dynamic twin capabilities that help define how a factory works with FlexSim, and ultimately look at the operations with Fusion Operations. What MaintainX brings us is the field execution and data piece, the actual asset data piece. They're the fastest-growing company in the space. They're rapidly consolidating a lot of the space onto their platform, and there's a reason for that. What they're bringing to us is not only that expertise at the point of work where the assets are functioning, they're bringing to us a rich set of data about asset performance in the real world.

Speaker #4: But what maintainX brings us is the field execution and data piece, the actual asset data piece. So the fastest growing company in the space, the rapidly consolidating a lot of the space onto their platform, and there's a reason for that.

Speaker #4: And what they're bringing to us is not only that expertise at the point of work where the assets are functioning, they're bringing to us a rich set of data about asset performance in the real world.

Speaker #4: This data is going to help us move along that spectrum from static to dynamic to predictive. And mid-sized and small manufacturers are going to be a big place where we're going to be testing this out.

Speaker #4: So it's an exciting growth opportunity, and it has a lot of potential for Autodesk, and it kind of completes that whole vision of design, make, operate, and closing that loop and that data and context layer.

Andrew Anagnost: This data is going to help us move along that spectrum from static to dynamic to predictive. Mid-size and small manufacturers are going to be a big place where we're going to be testing this out. It's an exciting growth opportunity, and it has a lot of potential for Autodesk, and it kind of completes that whole vision of design, Make, operate, and closing that loop in that data and context layer.

Speaker #2: That makes a ton of sense. Maybe for my follow-up, Janesh, I think you compared Autodesk's entrance into operations to your entrance into construction, which a lot of us on the call remember from years ago.

Speaker #2: Maybe the question is, how has that experience in construction, maybe, informed this expansion into operations? Does that make sense?

Saket Kalia: That makes a ton of sense. Maybe for my follow-up, Janesh, I think you compared Autodesk's entrance into operations to your entrance into construction, which a lot of us on the call remember years ago. Maybe the question is, how has that experience in construction maybe informed this expansion into operations? Does that make sense?

Speaker #1: Yeah, it does. And maybe I'll ask Andrew to comment a little bit on the learnings from the construction experience, since a lot of that happened even before I arrived.

Speaker #1: And then I can talk a little bit about how we translated that over to MaintainX.

Speaker #4: Yeah, all right. Thank you, Janesh. It's another good question, Sackett. Let me kind of start with this. When we started construction, we took a set of assets that we had in pre-construction planning and in collaboration with 3D models in the cloud and some early assets we had around punch lists and field assets.

Janesh Moorjani: Yeah, it does. Maybe I'll ask Andrew to comment a little bit on the learnings from the construction experience, since a lot of that happened even before I arrived, and then I can talk a little bit about how we translated that over to MaintainX.

Speaker #4: And then we put brought in an experienced leader at Autodesk who knew how to scale a new business, Jim Lynch in particular. He scaled the Revit business inside of Autodesk and was a critical part of that growth.

Andrew Anagnost: Yeah. All right. Thank you, Janesh. It's another good question, Saket. Let me kind of start with this. When we started construction, we took a set of assets that we had in pre-construction planning and in collaboration with 3D models in the cloud and some early assets we had around punch lists and field assets. We brought in an experienced leader at Autodesk who knew how to scale a new business. Jim Lynch in particular, he scaled the Revit business inside of Autodesk and was a critical part of that growth. We brought in people like Paul Blandini that were also part of that. What we did is we engaged in a series of acquisitions that expanded us into places where we didn't have coverage. Field execution was a key area in that space. Look at what we're doing with MaintainX.

Speaker #4: We brought in people like Paul Blandini that were also part of that. And then what we did is we engaged in a series of acquisitions that expanded us in the places where we didn't have coverage: field execution was a key area.

Speaker #4: In that space, look at what we're doing with MaintainX. It's field execution, field data—where things are happening on the site. This enabled us to do a lot of automations and capabilities around request-for-information flows and all the things associated with construction.

Andrew Anagnost: What we did is we engaged in a series of acquisitions that expanded us into places where we didn't have coverage. Field execution was a key area in that space. Look at what we're doing with MaintainX.

Speaker #4: We then went on to expand that and consolidate it into a group. We ran it independently inside the company. Look at the results, all right?

Speaker #4: Five years ago, we spent about $1.8 billion on acquisitions. You look at this business today—going back 12 months, it's worth almost $600 million in revenue.

Andrew Anagnost: It's field execution, field data, where things are happening on the site. This enabled us to do a lot of automations and capabilities around request for information flows and all the things associated with construction. We went on to expand that and consolidate it into a group. We ran it independently inside the company. Look at the results. All right. Five years ago, we spent about $1.8 billion on acquisitions. Today, you look at this business today, going back 12 months, it's worth almost $600 million in revenue, and it's growing north of 20%. Pretty impressive results. How does this translate into what we're doing with operations? I think we can actually do a lot more in operations. Today, we're putting an experienced leader that scaled Fusion in its early days. That's Stephen Hooper. We're bringing back Paul Blandini into the operations team.

Speaker #4: And it's growing north of 20%, so pretty impressive results. So, how does this translate into what we're doing with operations? I think we can actually do a lot more in operations.

Speaker #4: Today, we're putting an experienced leader that scaled Fusion in its early days—that's Stephen Hooper—on the operations team. He has a lot of the chops from that.

Speaker #4: We're bringing in a best-in-class field execution on-site maintenance and asset-aware solution into our portfolio, MaintainX. It's a great team that knows how to build this kind of technology—a team that's already built AI-driven workflows based on some of that data.

Speaker #4: And then we're going to work to incrementally bring in some smaller acquisitions over time that round out the solution. So follow the same playbook, integrate the things that we need to integrate quickly, hold back on the things that drive the health of the business, run the same playbook.

Andrew Anagnost: He has a lot of the chops from that. We're bringing in a best-in-class field execution, on-site maintenance, and asset-aware solution into our portfolio, MaintainX. A great team that knows how to build this kind of technology. A great team that's already built AI-driven workflows based on some of that data. We're going to work to incrementally bring in some smaller acquisitions over time that round out the solution. Follow the same playbook, integrate the things that we need to integrate quickly, hold back on the things that drive the health of the business, run the same playbook, and I think we're going to have even more impressive results than what you've seen with construction.

Speaker #4: And I think we're going to have even more impressive results than what you've seen with construction.

Speaker #2: Great to hear. Thank you.

Speaker #1: Thank you.

Speaker #2: Our next question comes from the line of JB Schauer with Griffin Securities.

Speaker #4: Thank you. Good evening. Andrew, among the critical technical ingredients of your growth strategy are, of course, platform services plus the AEC data model and the manufacturing data model.

Saket Kalia: Great to hear. Thank you.

Speaker #4: The question is: Could you talk about production deployments of any or all of those among your customers in AEC and manufacturing? And, apropos of today's news, how do you see the MaintainX acquisition fitting technically into those architectural initiatives around data models?

Operator: Thank you. Our next question comes from the line of Jay Vleeschhouwer with Griffin Securities.

Jay Vleeschhouwer: Thank you. Good evening. Andrew, among the critical technical ingredients of your growth strategy are, of course, platform services plus the AEC data model and the manufacturing data model. The question is, could you talk about production deployments of any or all of those among your customers in AEC and manufacturing? Apropos of today's news, how do you see the MaintainX acquisition fitting technically into those architectural initiatives around data models? I'll ask my follow-up.

Speaker #4: Then I'll ask my follow-up.

Speaker #5: Yeah. So as you know, the usage of our APIs and the AEC data model in the manufacturing data model by our customers continues to go up month after month after month.

Speaker #5: They're using it to provide real solutions. We're actually monetizing some of that API usage today. We continue to create granular solutions with our data and granular capabilities.

Speaker #5: All of these are tools that our customers will be able to plug into, but that we also plug into to create some of the agentic workflows that we're doing for our customers.

Andrew Anagnost: Yeah. As you know, the usage of our APIs and the AEC data model and the manufacturing data model by our customers continues to go up month after month after month. They're using it to provide real solutions. We're actually monetizing some of that API usage today. We continue to create granular solutions for our data and granular capabilities. All of these are tools that our customers will be able to plug into, but that we also plug into to create some of the agentic workflows that we're doing for our customers. It's really important to look at the progress we're doing there. When you look at MaintainX, it brings another piece of granular data, asset performance data, into the cycle. This is actually going to be valuable for some of our customers to actually build new businesses on from our stack.

Speaker #5: So it's really important to look at the progress we're making there. When you look at MaintainX, it brings another piece of granular data—asset performance data—into the cycle.

Speaker #5: This is actually going to be valuable for some of our customers who actually build new businesses on top of our stack. So our goal is our customers should be doing more projects, bidding on more projects, winning more projects, and getting a larger slice of the life cycle of the built world.

Speaker #5: This is another way we enable this. Our customers are going to be able to expand their offerings to their customers through some of the new types of granular data we'll be able to offer through the asset layer as well.

Speaker #5: So it's another way of rounding things out, not only for our customers, but for us as well. So it's going to be pretty exciting.

Andrew Anagnost: Our goal is our customers should be doing more projects, bidding on more projects, winning more projects, and getting a larger slice of the life cycle of the built world. This is another way we enable this. Our customers are going to be able to expand their offerings to their customers through some of the new types of granular data we'll be able to offer through the asset layer as well. It's another way of rounding things out, not only for our customers, but for us as well. It's going to be pretty exciting.

Speaker #4: Okay, another technology question. As you're aware, there was a very interesting AEC industry conference two weeks ago in London, which had many themes relevant to the company.

Speaker #4: One thing I thought was quite interesting was the theme among many customers who presented about developing their own tools—either to supplement commercially available tools, or potentially even to just use their own tools—for their design and engineering.

Jay Vleeschhouwer: Okay. Another technology question. As you are aware, there was a very interesting AEC industry conference two weeks ago in London, which had many themes relevant to the company. One of which I thought was quite interesting was the theme, among many customers that presented, of developing their own tools to either supplement commercially available tools, potentially even just use their own tools for their design and engineering. Could you talk about that potential phenomenon of customers developing, at least in AEC, some of their own homegrown tools?

Speaker #4: Could you talk about that potential phenomenon of customers developing, at least in AEC, some of their own homegrown tools?

Speaker #5: We absolutely want them to do this, Jay. We have a long history of enabling our customers to expand our offerings, to build tools that fit for their solutions.

Speaker #5: Now, when you look at the agentic world, remember, though, that there's this important critical mass around data and context that extends beyond any single customer.

Speaker #5: No single customer is going to have enough data to fully understand the scope and impact of a project, nor will they have the entire context of the project.

Andrew Anagnost: We absolutely want them to do this, Kay. We have a long history of enabling our customers to expand our offerings to build tools that fit for their solutions. Now, when you look at the agentic world, remember though, that there's this important critical mass around data and context that extends beyond any single customer. No single customer is going to have enough data to fully understand the scope and impact of a project, nor will they have the entire context of the project. Remember, context for a project flows across companies and across silos within a particular project. It is an ecosystem problem, and we're well-positioned to orchestrate the ecosystem at the data and context layer. We're going to add a lot of model capability that is really above and beyond what any of our customers can build on their own.

Speaker #5: Remember, context for a project flows across companies and across silos within a particular project. It is an ecosystem problem, and we're well positioned to orchestrate the ecosystem at the data and context layer.

Speaker #5: So, we're going to add a lot of model capability that is really above and beyond what any of our customers can build on their own.

Speaker #5: But we encourage them, and we want to enable them to build vertical capabilities on top of this that make their environments and their practices even more rich and more powerful.

Speaker #5: But they're going to need a strong platform to do that. And that strong platform is going to be built on the data, context, and expertise that we bring to play.

Speaker #4: Okay. Thank you, Andrew.

Speaker #1: Thank you.

Speaker #2: Our next question comes from the line of Adam Borg with Stifel.

Andrew Anagnost: We encourage them, and we want to enable them to build vertical capabilities on top of this that make their environments and their practices even more rich and more powerful. They're going to need a strong platform to do that, and that strong platform is going to be built on the data, context, and expertise that we bring to play.

Speaker #6: Awesome. And thanks so much for taking the questions. Maybe, Andrew, for you—in our channel chat conversations, we did hear about partners talking about a degree of disruption from the go-to-market changes you guys made.

Speaker #6: I know you talked about those changes really being in line with expectations, but I was hoping maybe to go a step deeper about how those changes have played out, and any future risk of further disruptions—and maybe for Janesh to remind us how that's contemplated in the guide.

Jay Vleeschhouwer: Okay. Thank you, Andrew.

Operator: Thank you. Our next question comes from the line of Adam Borg with Stifel.

Speaker #5: Yeah. So remember, let's talk about the goals of these changes, right? The goal is to focus the entire ecosystem on new business generation—capturing and growing new businesses.

Adam Borg: Awesome, and thanks so much for taking the question. Maybe Andrew, for you, in our channel check conversations, we did hear about partners talking about degree of disruption from the go-to-market changes you guys made. I know you talked about those changes really being in line with expectations. I was hoping maybe you could go a step deeper about how those changes have played out and any future risk of further disruptions, and maybe for Janesh to remind us how that's played into the guidance.

Speaker #5: So, we shifted away from renewals as a big part of the partner business to new business as an emerging, bigger part of the partner's business.

Speaker #5: And we also moved to automating some of the processes around renewals so that we could get better renewal performance and more focus on the new business.

Speaker #5: Actually, we saw that in the quarter. We saw strong renewal performance, and we saw exactly the kind of weak new performance we expected as people shift over to this.

Andrew Anagnost: Yeah. Remember, let's talk about the goals of these changes, right? The goal is to focus the entire ecosystem on new business generation, capturing and growing new businesses. We shifted away from renewals as a big part of the partner business to new business as an emerging bigger part of the partners business. We also moved to automating some of the processes around renewal so that we could get better renewal performance and more focus on the new business. Actually, we saw that in the quarter. We saw strong renewal performance, and we saw exactly the kind of weak new performance we expected as people shift over to this. We expect this to all work its way out over time as the channel partners kind of get their hands around how their teams are reconfigured to build out new business.

Speaker #5: We expect this to all work its way out over time. As the channel partners kind of get their hands around how their teams are reconfigured to build out new business, and we're looking to see we're looking forward to seeing the results.

Speaker #5: Janesh, do you want to comment on anything?

Speaker #3: Yeah, I'll just add that Q1 played out in line with the assumptions that we had baked into the guidance for the new subscriptions. We saw strength everywhere else that contributed to the strong outperformance that we had here in the quarter.

Speaker #3: And then, looking ahead, we have assumed just a gradual normalization—not a step-function improvement. Looking out to Q2 to Q4, ultimately, the objective is to emerge with an organization that is much more effective at driving new business growth over the long term, and that sets us up nicely for the future.

Andrew Anagnost: We're looking forward to seeing the results. Janesh, do you want to comment on anything?

Janesh Moorjani: Yeah. I'll just add that Q1 played out in line with the assumptions that we had baked into the guidance for the new subscriptions. We saw strength everywhere else that contributed to the strong outperformance that we had here in the quarter. Looking ahead, we have assumed just a gradual normalization, not a step function improvement, looking out to Q2 to Q4. Ultimately, the objective is to emerge with an organization that is much more effective at driving new business growth over the long term, and that sets us up nicely for the future.

Speaker #6: That's great. And maybe just as my quick follow-up, it's really nice to see the consistent year-on-year growth by geography—Americas, EMEA, and APAC—all 16 to 17 percent.

Speaker #6: Maybe just drilling deeper into M&E, given a lot of noise in that market more broadly, is there anything to call out there in terms of headwinds and opportunities?

Speaker #6: Thanks so much.

Speaker #3: Yeah, I think the biggest drivers for EMEA were really some of the timing and comparison dynamics that you see. EMEA had strong upfront revenue.

Speaker #3: Last quarter—and last quarter was also the peak of the new transaction model tailwind in EMEA. And if you recall, EMEA lagged the Americas by one quarter.

Adam Borg: That's great. Maybe just as my quick follow-up, it's really nice to see the consistent year-on-year growth by geography, Americas, EMEA, and APAC, all 16% to 17%. Maybe just drilling deeper into EMEA, just given a lot of noise in that market more broadly. Anything to call out there in terms of headwinds and opportunities? Thanks so much.

Speaker #3: So that's what you're really seeing play out here in the numbers for Q1. The other thing I would just touch on also is that we knew going into the year that the sales reorganization would just take longer to operationalize, and certain parts of EMEA just given local labor laws and consultation requirements.

Janesh Moorjani: Yeah. I think the biggest drivers for EMEA were really some of the timing and comparison dynamics that you see. EMEA had strong upfront revenue last quarter, and last quarter was also the peak of the new transaction model tailwind in EMEA. If you recall, EMEA lagged the Americas by one quarter. That's what you're really seeing play out here in the numbers for Q1. The other thing I would just touch on also is that we knew going into the year that the sales reorganization would just take longer to operationalize in certain parts of EMEA, just given local labor laws and consultation requirements. That timing was contemplated in the guidance, but you also see that reflected in the EMEA performance overall. Broadly, EMEA is a very important region for us, and we continue to see great long-term opportunity across both mature and emerging markets there.

Speaker #3: And that timing was contemplated in the guidance, but we also see that reflected in the EMEA performance overall. Broadly, EMEA is a very important region for us, and we continue to see great long-term opportunity across both mature and emerging markets there.

Speaker #6: Really helpful. Thanks again.

Speaker #4: Yep.

Speaker #1: Thank you.

Speaker #2: Our next question comes from the line of Brent Thill with Jefferies.

Speaker #1: Thank you. Just on the acquisition, if you kind of roll forward the 50% growth, you're paying 18 times next year's revenue. And I think many are asking, in a world where software multiples have collapsed pretty significantly, you're paying a pretty big premium. And I'm assuming there's a reason for that premium.

Adam Borg: Really helpful. Thanks again.

Speaker #1: So maybe, if you could share your thoughts on how you got to the number.

Janesh Moorjani: Yeah.

Operator: Thank you. Our next question comes from the line of Brent Thill with Jefferies.

Speaker #3: Yeah, I'm happy to start, and maybe Andrew can add as well. But when we looked at Maintenex, Brent, for us, we looked at it as a high-growth, market-leading platform.

Brent Thill: Thank you. Just on the acquisition, if you roll forward the 50% growth, you're paying 18 times next year's revenue. I think many are asking, in a world where software multiples have collapsed pretty significantly, you're paying a pretty big premium. I'm assuming there's a reason for that premium. Maybe if you could share your thoughts on how you got to the number.

Speaker #3: It's really defining the next generation of operations software. It's a large strategic adjacency for us, so it expands our TAM. But importantly, beyond the standalone strength of the business, it also gives us very rich operational data and workflow context that really allows us to close the entire loop across design, make, and operate.

Speaker #3: And it strengthens our overall AI foundation as a combined company. So it really enables higher-value workflows over time. We talked a little bit earlier about the construction playbook that we used and Andrew mentioned these numbers.

Janesh Moorjani: Yeah, I'm happy to start, and maybe Andrew can add as well. When we looked at MaintainX, Brent, for us, we looked at it as a high-growth market-leading platform. It's really defining the next generation of operations software. It's a large strategic adjacency for us, so it expands our TAM. Importantly, beyond the standalone strength of the business, it also gives us very rich operational data and workflow context that really allows us to close the entire loop across design, Make, and operate. It strengthens our overall AI foundation as a combined company. It really enables higher value workflows over time. We talked a little bit earlier about the construction playbook that we used, and Andrew mentioned these numbers, that in construction, we deployed about $1.8 billion of capital through acquisitions.

Speaker #3: But in construction, we deployed about 1.8 billion dollars of capital through acquisitions. And we built a business that's close to 600 million dollars of revenue LCM in a space that's growing more than 20% here in Q1.

Speaker #3: So, if you sort of think of that in a similar analogy, we expect operations to become an even bigger business than construction over time, just given the TAM.

Speaker #3: And given the growth rate of the business, the revenue multiple will compress pretty quickly on a forward basis as the business scales.

Speaker #5: Yeah, I think Janesh said it pretty well. I'll just add on and double down on this notion that the data we're getting about asset performance and asset lifecycles is incredibly valuable to us.

Speaker #5: It allows us to move up the spectrum from the operational, and the static and dynamic twins, into the predictive world. That's going to provide a lot of value to the mid-market customers we serve.

Janesh Moorjani: We've built a business that's close to $600 million of revenue LTM, and that's growing more than 20% here in Q1. If you think of that in a similar analogy, we expect operations to become an even bigger business than construction over time, just given the TAM. Given the growth rate of the business, the revenue multiple will compress pretty quickly on a forward basis as the business scales.

Speaker #5: It's going to provide high-value, AI-driven solutions that do things most small and mid-sized players are not able to do without some of these tools.

Speaker #5: So look for us to really dig deeply into that layer of this asset, because it's a very important component of it for our context and data strategy.

Andrew Anagnost: Yeah, I think Janesh said it pretty good. I'll just add on and double down on this notion of the fact that the data that we're getting about asset performance and asset life cycles is incredibly valuable to us. It allows us to move up the spectrum from the operational and the static and dynamic twin into the predictive world. That's going to provide a lot of value to the mid-market customers we serve. It's going to provide high-value, AI-driven solutions that do things that most small and midsize players are not able to do without some of these tools. Look for us to really dig deeply into that layer of this asset, because it's a very important component of it for our context and data strategy.

Speaker #1: And just a quick clarification: Is this the largest deal you've ever done?

Speaker #5: This is the largest deal we've ever done.

Speaker #1: Okay. Thank you so much.

Speaker #3: Thanks, Brent.

Speaker #1: Thank you.

Speaker #2: Our next question comes from the line of Jason Salino with KeyBank Capital Markets.

Speaker #4: Great, thank you. I'm just trying to understand the Maintenex business a little bit better. Who would be the core user? Would it be internal operations, maintenance?

Speaker #4: People? And then I went on the website, and it looks like some reference customers are some consumer companies, some janitorial service companies. So, do you have any overlapping customers today?

Brent Thill: Just a quick clarification, is this the largest deal you've ever done?

Andrew Anagnost: This is the largest deal we've ever done.

Speaker #5: Yeah, we absolutely have overlapping customers in the manufacturing sectors and machine operating sectors—that do overlap with us. The core user is the person actually owning the asset, who has a high concern about uptime and managing and maintaining that uptime.

Brent Thill: Okay. Thank you so much.

Janesh Moorjani: Thanks, Brent.

Operator: Thank you. Our next question comes from the line of Jason Celino with KeyBanc Capital Markets.

Jason Celino: Great. Thank you. I am just trying to understand the MaintainX business a little bit better. Who would be the core user? Would it be internal operations maintenance people? I went on the website, and it looks like some reference customers or some consumer companies, some janitorial service companies. Do you have any overlapping customers today?

Speaker #5: It allows them to get the maintenance people out into the facility, track what needs to be fixed, track how it needs to be fixed, and the value we're going to bring moving forward is we're going to be able to turn that into a predictive cycle and a closed loop, allowing them to optimize facilities.

Speaker #5: I think the greatest example you can use here is what happens in a small and mid-sized factory, where they're trying to highly automate their processes and try to create a digital twin of the operational capabilities of their factory, and reconfigure that factory on a regular basis, all while keeping it running as much as they possibly can.

Andrew Anagnost: Yeah, we absolutely have overlapping customers in the manufacturing sectors and machine operating sectors that do overlap with us. The core user is the person actually owning the asset who has a high concern about uptime and managing and maintaining that uptime. It allows them to get the maintenance people out into the facility, track what needs to be fixed, track how it needs to be fixed. The value we're going to bring moving forward is we're going to be able to turn that into a predictive cycle and a closed loop into being able to allow them to optimize facilities.

Speaker #5: That's going to be a big opportunity for us with regard to the predictive twin capability.

Speaker #4: Okay, and then maybe just a clarification for Janesh. I think in the prepared remarks for the PowerPoint, you mentioned that you were maintaining the fiscal '29 operating margin framework.

Speaker #4: Did that original framework contemplate a strategic acquisition like this? And I guess, how would you look to absorb and maintain margin framework with this asset and potential future tuck-ins?

Andrew Anagnost: I think the greatest example you can use here is what happens in a small and mid-size factory where they're trying to highly automate their processes and try to create a digital twin of the operational capabilities of their factory and reconfigure that factory on a regular basis and keeping it running as much as they possibly can. That's going to be a big opportunity for us with regards to the predictive twin capability.

Speaker #4: Thanks.

Speaker #3: Yeah, Jason, it's a great question. When we laid out that framework, we had assumed that we could achieve that objective under a range of different kinds of scenarios, which included potential acquisitions as well.

Jason Celino: Okay, maybe just a clarification for Janesh. I think in the prepared remarks or the PowerPoint, it mentioned that you were maintaining the fiscal 2029 operating margin framework. Did that original framework contemplate a strategic acquisition like this? I guess how would you look to absorb and maintain margin framework with this asset and potential future tuck-ins? Thanks.

Speaker #3: Ultimately, the business is generating a healthy amount of operating leverage. We use that operating leverage to both achieve margin goals and reinvest back in the business to drive sustainable and durable growth for the future.

Speaker #3: Some of that can be organic. Some of that can be inorganic. And that's what you've seen us do here today. While Maintenex itself does not have the margin profile that Autodesk does, we are going to absorb that business into Autodesk and stay true to our margin goals.

Speaker #3: while continuing to balance investments that we need to make in the business as well.

Janesh Moorjani: Yeah, Jason, it's a great question. When we laid out that framework, we had assumed that we could achieve that objective under a range of different kinds of scenarios, which included potential acquisitions as well. Ultimately, the business is generating a healthy amount of operating leverage, and we use that operating leverage to both achieve margin goals as well as reinvest back in the business to drive sustainable and durable growth for the future. Some of that can be organic, some of that can be inorganic, and that's what you've seen us do over here today. While MaintainX itself does not have the margin profile that Autodesk does, we are going to absorb that business into Autodesk and stay true to our margin goals while continuing to balance investments that we need to make in the business as well.

Speaker #4: Perfect. Thank you.

Speaker #3: Thank you.

Speaker #1: Thank you.

Speaker #2: Our next question comes from the line of Taylor McGinnis with UBS.

Speaker #6: Yeah. Hi. Thanks so much for taking my question. Janesh, if I ran my math right, it looks like the guide for adjusted constant currency billings implies around high single-digits growth for the remainder of the year.

Speaker #6: And I think revenue growth is closer to 10% or so. So could you just unpack the delta there? Was there any pull forward of deals into one queue, or is that just a reflection of the impact from some of the sales changes?

Speaker #6: And then secondly, not to throw too many questions at you, but I believe you made a comment about a benefit from price realization to billings, but that also weighing on unbilled deferred revenue growth.

Jason Celino: Perfect. Thank you.

Janesh Moorjani: Thank you.

Operator: Thank you. Our next question comes from the line of Taylor McGinnis with UBS.

Speaker #6: So I'm wondering if you could just pack that, unpack that a little bit more specifically with RPO growth of 9%.

Taylor McGinnis: Yeah. Hi, thanks so much for taking my question. Janesh, if I ran my math right, it looks like the guide for adjusted constant currency billings implies around high single-digit growth for the remainder of the year. I think revenue growth is closer to 10% or so. Could you just unpack the delta there? Was there any pull forward of deals into Q1, or is that just a reflection of the impact from some of the sales changes? Secondly, not to throw too many questions at you, but I believe you made a comment about a benefit from price realization to billings, but that also weighing on unbilled, deferred revenue growth. I'm wondering if you could just unpack that a little bit more, specifically with RPO growth of 9%.

Speaker #3: Yeah. I'm happy to touch on both of those, Taylor. So in terms of the overall growth profile for both billings and revenue, keep in mind it's really the effect of the sales reorg that we had where you'll see the effect show up in billings first, and then you see the effect show up in revenue over time.

Speaker #3: So that's one piece that you need to just keep in mind. And our guidance largely reflects that in terms of the pace of normalization of new business productivity coming back into the sales team as we go through the reorganization.

Speaker #3: And complete the operationalization of that. That's probably the biggest piece to think about with respect to the guidance. And then in terms of the RPO and the price realization, RPO can move around in any period.

Speaker #3: It is affected by a number of things, including contract durations, timing, currency, and in our case, as you know, it's also affected by the impact of the new transaction model, which is now starting to wear off.

Janesh Moorjani: Yeah, I'm happy to touch on both of those, Taylor. In terms of the overall growth profile for both billings and revenue, keep in mind it's really the effect of the sales reorg that we had, where you see the effect show up in billings first, and then you see the effect show up in revenue over time. That's one piece that you need to just keep in mind, and our guidance largely reflects that in terms of the pace of normalization of new business productivity coming back into the sales team as we go through the reorganization and complete the operationalization of that. That's probably the biggest piece to think about with respect to the guidance. In terms of the RPO and the price realization, RPO can move around in any period. It is affected by a number of things, including contract duration, timing, and currency.

Speaker #3: And so, in Q1, what we saw was RPO growth was a bit slower, in part reflecting slightly shorter contract durations. That follows a change that we had been making to reduce discounting on multi-year contracts.

Speaker #3: So when you do that, it represents a really good economic trade-off for us, because the price realization is longer-term, over multiple years, when we go out and secure the renewals in the future.

Speaker #3: Those will be at the undiscounted levels, or at the lower discounted levels, compared to what we had in the past. So that's a longer-term play.

Speaker #3: But it does impact the RPO, and particularly the unbilled deferred RPO, in the near term. But it is a good economic trade-off for us, and one that we consciously make.

Speaker #3: So customer relationships are healthy, and we have a strong foundation of renewal rates. So we feel pretty good about the underlying momentum of the...

Janesh Moorjani: In our case, as you know, it's also affected by the impact of the new transaction model, which is now starting to wear off. In Q1, what we saw was RPO growth was a bit slower, in part reflecting slightly shorter contract durations. That follows the change that we had been making to reduce discounting on multi-year contracts. That represents a really good economic trade-off for us because the price realization is longer term, over multi-years. When we go out and secure the renewals in the future, those will be at the undiscounted levels or the lower discounted levels compared to what we had in the past. That's the longer-term play, but it does impact the RPO and particularly the unbilled deferred RPO in the near term. It is a good economic trade-off for us and one that we consciously made.

Speaker #6: Perfect. Thanks so much.

Speaker #1: Thank you.

Speaker #2: Our next question comes from the line of Alexi Gogolev with JPMorgan.

Speaker #5: Hello, everyone. Janesh, could I build on the previous question, please? So, when customers consider their contracts, what drives the decision between multi-year and annual contracts?

Speaker #5: Is there any element of budget uncertainty, or some perceived switching flexibility, or maybe cloud and AI roadmaps? And does it differ by IECO or manufacturing, or maybe by enterprises versus SMB?

Janesh Moorjani: Customer relationships are healthy, and we have a strong foundation of renewal rates, so we feel pretty good about the underlying momentum of the business.

Taylor McGinnis: Perfect. Thanks so much.

Speaker #3: Yeah, it's a great question, Alexi. It's less about budgets or anything of that sort. For us, I think it's really just a couple of issues.

Operator: Thank you. Our next question comes from the line of Alexei Gogolev with JPMorgan.

Speaker #3: One that I just touched on, which is that we reduced some of the discounting on multi-year contracts. Because we have such a strong foundation of strong renewal rates, we felt confident that it was the right thing to do for the business long term.

Alexei Gogolev: Hello, everyone. Janesh, could I build on the previous question, please? When customers consider their contracts, what drives the decision between multi-year and annual contracts? Is there any element of budget uncertainty or some perceived switching flexibility or maybe cloud and AI roadmaps? Does it differ by AEO, AECO, IECO, or manufacturing, or maybe by enterprises versus SMB?

Speaker #3: And the second thing that I'll call out is that there can be sort of timing issues and cohort mix issues as well. EBAs tend to be three-year contracts.

Speaker #3: A lot of our product subscriptions tend to be one-year contracts, and so, just depending on some of the mix of what's up for renewal and what's not up for renewal, you can see some level of fluctuation there too.

Speaker #3: But that's all just normal and part of the ongoing business, so there was nothing unique or specific that I would call out other than those factors here in Q1.

Speaker #5: Okay, thank you. And Andrew, you referenced assistance and MCP infrastructure as the harness layer for frontier models. What's the near-term product roadmap? Where does it show up first, and what can customers do that they couldn't do before?

Janesh Moorjani: Yeah, it's a great question, Alexey. It's less about budgets or anything of that sort. For us, I think it's really just a couple of issues. One that I just touched on, which is that we reduced some of the discounting on multi-year contracts because we have such a strong foundation on strong renewal rates, and we felt confident that it was the right thing to do for the business long term. The second thing that I'll call out is that there can be sort of timing issues and cohort mix issues as well. EBAs tend to be 3-year contracts. A lot of our product subscriptions tend to be 1-year contracts. So just depending on some of the mix of what's up for renewal and what's not up for renewal, you can see some level of fluctuation there too.

Speaker #4: Yeah, so there are numerous things that we built into the assistant layer that customers are going to be able to do that they haven't done before.

Speaker #4: Coming out very shortly is what's called the Building Layout Explorer. It's going to be built into the form of Building Design Suite. It allows people to explore the layout of a building within the framework of the envelope for the building that they're proposing and that they're exploring.

Janesh Moorjani: That's all just normal and part of the ongoing business. There was nothing unique or specific that I would call out other than those factors here in Q1.

Speaker #4: These are the kinds of capabilities that are built off of models that we've created ourselves, that allow customers to do things they would not be able to do dynamically with some of the other kinds of horizontal large language model tools.

Alexei Gogolev: Okay. Thank you. Andrew, you referenced assistance and MCP infrastructure as the harness layer for frontier models. What's the near-term product roadmap, where it shows up first, and what customers can do that they couldn't do before?

Speaker #4: We're also going to be building in additional capabilities that bring some of our vertical tools into the assistant workflow, so that they can actually dynamically create user interfaces that solve particular problems for them.

Speaker #4: Again, that's going to be unique to the assistant. I don't want to say too much because we're going to have a lot of announcements at AU that will kind of tell people where we're going.

Andrew Anagnost: Yeah. There's numerous things that we've built into the assistant layer that customers are going to be able to do that they haven't done before. Coming out very shortly is what's called the Building Layout Explorer. It's going to be built into the Forma Building Design. It allows people to explore the layout of a building within the framework of the envelope for the building that they're proposing and that they're exploring. These are the kind of capabilities that are built off of models that we've created ourselves that allow customers to do things that they would not be able to do dynamically with some of the other kind of horizontal large language model tools.

Speaker #4: But you're going to see us add a lot more to the layer between the frontier models and what the assistant does, and some of the capabilities that Autodesk builds on top.

Speaker #5: Thank you, Andrew.

Speaker #1: Thank you.

Speaker #2: Our next question comes from the line of Joe Brunk with Bayard.

Speaker #5: Hi, great, thanks for taking my questions. Is there something like Claude for creative work, and could Autodesk's involvement become a channel for new customers and new user acquisition to the point where you'd actually see new subscriber and seat growth accelerate?

Andrew Anagnost: We're also going to be building in additional capabilities that bring in some of our vertical tools into the assistant workflow, so that they can actually dynamically create some user interfaces that solve particular problems for them. Again, going to be unique to the assistant. I don't want to say too much because we're going to have a lot of announcements at AU that kind of tell people where we're going. You're going to see us add a lot more to the layer between the frontier models and what the assistant does and some of the capabilities that Autodesk builds on top.

Speaker #5: Or maybe, if it's not Claude for creative work, but more holistically about what you're doing with MCP servers, does this become a format where just the usability around your models makes the applications more applicable to people that wouldn't naturally be key users of Autodesk?

Speaker #4: Whenever you meet the customers where they're at, you bring new customers into the ecosystem. All right? And part of what we're doing is to meet the customers where they're at.

Alexei Gogolev: Thank you, Andrew.

Operator: Thank you. Our next question comes from the line of Joe Vruwink with Baird.

Speaker #4: We pull them into the ecosystem, and then they're able to explore the capabilities that we're able to help them finish—above and beyond what they do in some of these other layers.

Joe Vruwink: Hi. Great. Thanks for taking my questions. Does something like Claude for creative work and Autodesk involvement become a channel for new customer, new user acquisition to the point where you'd actually see new subscriber and seat growth accelerate? Maybe if it's not Claude for creative work, but more holistically about what you're doing with MCP servers, does this become a format where just the usability around your models makes the applications more applicable to people that wouldn't naturally be key users of Autodesk?

Speaker #4: So you'll have—this is absolutely a channel for us, but it's also meeting the customers where they're at today.

Speaker #5: Okay. And then on maintain X, so moving downstream into operations and connecting the asset lifecycle, there are other vendors that have also put these pieces together.

Speaker #5: I think there's maybe been a range of successes, and maybe the pieces end up functioning separately, but there's just not good cross-pollination, and kind of upstream design ends up working.

Andrew Anagnost: Whenever you meet the customers where you're at, you bring new customers into the ecosystem. Right? Part of what we're doing is to meet the customers where they're at. We pull them into the ecosystem, and then they're able to explore the capabilities that we're able to help them finish above and beyond what they do in some of these other layers. This is absolutely a channel for us, but it's also meeting the customers where they're at today.

Speaker #5: But it doesn't connect downstream. How does Autodesk maybe think about tackling this proposition differently than it's been tackled before?

Speaker #4: Certainly, we're aware of all those other explorations in this space. One of the things I want to make sure that you understand here is it's not just about the maintenance piece and what we're acquiring today.

Speaker #4: It's about the whole experience around how a digital twin actually operates for our customers in their real-world settings. So we're actually building out capabilities that circle a whole bunch of the problem.

Joe Vruwink: Okay. On MaintainX, moving downstream into operations and connecting the asset life cycles, there's other vendors that have also put these pieces together. I think there's maybe been a range of successes, and maybe the pieces end up functioning separately, but there's just not good cross-pollination, and upstream design ends up working, but it doesn't connect downstream. How does Autodesk maybe think about tackling this proposition differently than it's been tackled before?

Speaker #4: And I gave some of those examples in the factory space. But also, when you look at some of these other solutions and why MaintainX has managed to grow so fast, a lot of these older solutions required custom solutions.

Speaker #4: They were dependent on other platforms like Salesforce, for instance, and they were narrowly focused on an ecosystem of vendors that were supported by the particular players.

Speaker #4: MaintainX is a complete heterogeneous solution. Every asset that the customer has to manage can be managed within an environment like MaintainX, which I think is a very important differentiator as we move here.

Andrew Anagnost: Certainly, we're aware of all those other explorations in this space. One of the things I want to make sure that you understand here is it's not just about the maintenance piece and what we're acquiring today. It's about the whole experience around how a digital twin actually operates for our customers in their real-world settings. We're actually building out capabilities that circles a whole bunch of the problem. I gave some of those examples in the factory space. Also when you look at some of these other solutions and why MaintainX has managed to grow so fast, a lot of these older solutions required custom solutions. They were dependent on other platforms, like Salesforce, for instance, and they were narrowly focused on an ecosystem of vendors that were supported by the particular players. MaintainX is a complete heterogeneous solution.

Speaker #4: But you combine that also with what we're trying to do with the end-to-end, where you're defining the twin, you're running things in the twin, and you're moving into optimizing and predictive workflows.

Speaker #4: It's something that other vendors have not done and have not been able to do successfully. And again, the reason MaintainX has been as successful as it is in consolidating the space is because they cracked the code on how to drive some of these solutions in and out at scale.

Speaker #3: I might just add there, as you can see, the evidence of these differentiators that Andrew talked about in the growth profile of Maintain X compared to the growth profiles of some of those other companies.

Speaker #5: Thank you.

Andrew Anagnost: Every asset that the customer has to manage can be managed within an environment like MaintainX, which I think is a very important differentiator as we move here. You combine that also with what we're trying to do with the end-to-end, where you're defining the twin, you're running things in the twin, and you're moving into optimizing and predictive workflows. It's something that other vendors have not done and have not been able to do successfully. Again, the reason MaintainX has been successful as it is in consolidating the space is because they cracked the code on how to drive some of these solutions in and out of scale.

Speaker #1: Thank you.

Speaker #2: Our next question comes from the line of Ken Wong with Oppenheimer.

Speaker #5: Fantastic. Thanks for taking my question. The first one for you, Janesh. I just wanted to kind of clarify the billings guide. Constant currency billings growth was raised a bit at the low end, but the constant currency adjusted for transaction model was unchanged.

Speaker #5: Is that just rounding error and the underlying confidence of billings is higher, or are you trying to say it's neutral?

Speaker #3: Yeah, I think that's just largely rounding. Because we guide in whole percentages, we focused on the total dollars of billings. We didn't see any big shift in terms of the impact of the new transaction model.

Janesh Moorjani: I'd just add there is, you can see the evidence of these differentiators that Andrew talked about in the growth profile of MaintainX compared to the growth profiles of some of those other companies.

Speaker #3: I think that's just largely rounding, right there.

Speaker #5: Got it. And then, Andrew, just on the go-to-market changes, it sounds like that's within the range of outcomes. Would you say it's just typical learning curve stuff? Or, I remember last year there were maybe some invoicing and billing dynamics that you guys had to iron out—those kinks.

Joe Vruwink: Thank you.

Operator: Thank you. Our next question comes from the line of Ken Wong with Oppenheimer.

Ken Wong: Hey, fantastic. Thanks for taking my question. This first one for you, Janesh. I just wanted to clarify the billings guide. Constant currency billings growth was raised a bit at the low end, but the constant currency adjusted for transaction model was unchanged. Is that just rounding error and the underlying confidence of billings is higher, or are you trying to say it's neutral?

Speaker #5: Are there any notable items that you guys feel you need to course-correct?

Speaker #4: No, nothing we didn't plan for in the cycle. When you move sales incentives around and move sales roles around, you're obviously going to go through a cycle of absorbing those changes and incorporating those things into your pipeline.

Speaker #4: You're going to go through some pipeline disruption and all the things associated with that. These are things we've factored in, so we're not seeing anything we didn't expect, like we discussed during the new transaction model change.

Janesh Moorjani: Yeah, I think that's just largely rounding. We guide in whole percentages. We focused on the total dollars of billings. We didn't see any big shift in terms of the impact of the new transaction model. I think that's just largely rounding right there.

Speaker #4: It's all kinds of things we baked into the cycle and into the change management.

Speaker #5: Okay. Perfect. Thanks, guys.

Ken Wong: Got it. Andrew, just on the go-to-market changes, it sounds like within the range of outcomes. Would you say it's just typical learning curve stuff? I remember last year, there was maybe some invoicing and billing dynamics that you guys had to iron out those kinks. Are there any notable items that you guys feel you need to course-correct?

Speaker #1: Thank you.

Speaker #2: Our next question comes from the line of Michael Turn with Wells Fargo.

Speaker #6: Hey, great. Thanks. Good afternoon, I appreciate you taking the question. As you're obviously well aware, the company's worked through a fairly notable and impressive transformation over the past few years.

Speaker #6: Maybe just the two-part question for me. Could you provide us with a grounding update on where the company stands in terms of technology replatforming and the evolution of the pricing model, and how that positions the company competitively from your perspective?

Andrew Anagnost: No, nothing we didn't plan for in the cycle. When you move sales incentives around and move sales roles around, you're obviously going to go through a cycle of absorbing those changes and absorbing those things into your pipeline. You're going to go through some pipeline disruption and all the things associated with that. These are things we factored in. We're not seeing anything we didn't expect, like we discussed during the new transaction model change. It's all kinds of things we baked into the cycle and into the change management.

Speaker #6: And then as a follow-on, could you also speak to confidence and layering Maintain X into that? Just confidence and the foundation you've set, and if this is the right point to bring something new into the fold there.

Speaker #6: Thanks very much.

Speaker #4: Yeah, Michael, that's a really relevant question. So, as you know, we've made a lot of investments in kind of changing the company and preparing it for the future at various levels.

Ken Wong: Okay, perfect. Thanks, guys.

Speaker #4: One of the things we also did very early on is we prepared for a mixed, blended world of subscription and consumption. It's one of the things I think we're well ahead of a lot of other companies in the application space on.

Operator: Thank you. Our next question comes from the line of Michael Turrin with Wells Fargo.

Janesh Moorjani: Hey, great. Thanks. Good afternoon. I appreciate you taking the question. As you're obviously well aware, the company's worked through a fairly notable and impressive transformation over the past few years. Maybe just a two-part question from me. You could just provide us with a grounding update on where the company stands in terms of technology replatforming and evolution of the pricing model, how that positions the company competitively from your perspective. As a follow-on, just maybe also speak to confidence in layering MaintainX into that. Just confidence in the foundation you've set as this being the right point to bring something new into the fold there. Thanks very much.

Michael Turrin: Hey, great. Thanks. Good afternoon. I appreciate you taking the question. As you're obviously well aware, the company's worked through a fairly notable and impressive transformation over the past few years. Maybe just a two-part question from me. You could just provide us with a grounding update on where the company stands in terms of technology replatforming and evolution of the pricing model, how that positions the company competitively from your perspective. As a follow-on, just maybe also speak to confidence in layering MaintainX into that. Just confidence in the foundation you've set as this being the right point to bring something new into the fold there. Thanks very much.

Speaker #4: So we already have offerings that allow us to provide subscriptions for people that are heavy users, and blended consumption models like Flex for people that are occasional users.

Speaker #4: And we also have ways and means by which to blend these things together. We have capacity models, project-based pricing models. So, we have a lot of various models that allow us to meet the customer at the project level.

Speaker #4: And also, meet them at the usage of AI in ways that maybe other players in the space don't, which I think is really important.

Speaker #4: And we built the systems and processes up around that. We've also built the systems and processes that allow us to bring in acquisitions and integrate them into our processes more effectively.

Andrew Anagnost: Yeah, Michael, that's a really relevant question. As you know, we've made a lot of investments in changing the company and preparing it for the future at various levels. One of the things we also did very early on is we prepared for a mixed, blended world of subscription and consumption. It's one of the things that I think we're well ahead of a lot of other companies in the application space. We already have offerings that allow us to provide subscriptions for people that are heavy users, blended consumption models like Flex for people that are occasional users. We also have ways and means of which to blend these things together. We have capacity models, project-based pricing models.

Speaker #4: Now, Maintain X is a subscription model, and they're moving into the consumption space moving forward. So, they're a natural fit for some of the capabilities that we already have.

Speaker #4: So we feel very confident about how we can integrate them and move them into our processes. But we've come quite a ways up in the maturity curve, and we feel pretty good about where we are with regards to being ready for the new world in terms of some of the pricing models and the packaging models that are associated with that.

Speaker #2: Thanks very much.

Speaker #1: Thank you.

Speaker #2: Our next question comes from the line of Joshua Tilton with Wolfe Research.

Andrew Anagnost: We have a lot of various models that allow us to meet the customer at the project level and also meet them at the usage of AI in ways that maybe other players in the space don't, which I think is really important. We've built the systems and processes up around that. We've also built the systems and processes that allow us to bring in acquisitions and integrate them into our processes more effectively. Now, MaintainX is a subscription model, and they're moving into the consumption space moving forward. They're a natural fit for some of the capabilities that we already have. We feel very confident about how we can integrate them and move them into our processes.

Speaker #6: Hey, guys. Thanks for sneaking in. Can you hear me?

Speaker #3: Yeah, we can, Josh. Go ahead.

Speaker #2: Josh?

Speaker #6: Hey, guys. Can you hear me?

Speaker #3: We can now. Go ahead, please.

Speaker #6: Perfect. Amazing. There was a bit of an awkward pause there for a second. Maybe just two quick ones from me. The first one is just something we noticed—there was a rebranding or repackaging of Autodesk Build on the...

Speaker #6: Sort of a form of build. And along with that, it feels like the pricing of that offering is—I don't know if 'significantly' is the right word—but mid-teens percent cheaper than it was previously.

Andrew Anagnost: We've come quite a ways up in the maturity curve, and we feel pretty good about where we are with regards to being ready for the new world in terms of some of the pricing models and the packaging models that are associated with that.

Speaker #6: Is there any change in the strategy that you guys are seeing in Construction around how you're using price as a lever to entice customers, especially since the offering itself is pretty good?

Speaker #6: And then I have a follow-up for that.

Joshua Hilton: Thanks very much.

Michael Turrin: Thanks very much.

Speaker #4: Yeah, so you're actually convolving two things there, Michael. So let me—I mean, Joshua, sorry. Let me help you with that a little bit.

Operator: Thank you. Our next question comes from the line of Joshua Hilton with Wolfe Research.

Speaker #4: So the rebranding of everything under Forma is to acknowledge that we have an end-to-end solution that's entirely cloud-native—from design, pre-construction, planning, all the way into construction.

Joshua Hilton: Hey, guys. Thanks for sneaking me in. Can you hear me?

Simon Mays-Smith: Yeah, we can, Josh. Go ahead.

Speaker #4: So everything's branded under the Forma layer. So Forma for Construction is now connected directly, through Forma Data Management, to Forma Site Design and Forma Building Design.

Janesh Moorjani: Josh?

Joshua Hilton: Hey, guys. Can you hear me?

Janesh Moorjani: We can now. Go ahead, please.

Joshua Hilton: Perfect. Amazing. Bit of an awkward pause there for a second. Maybe just two quick ones from me. First one is just something we noticed is there was a rebranding or repackaging of Autodesk Build on the e-store to Forma Build. Along with that, it feels like the pricing of that offering is, I don't know if significantly is the right word, but mid-teens cheaper than it was previously. Is there any change in the strategy that you guys are seeing in construction around how you're using price as a lever to entice customers, especially since the offering itself is pretty good? I have a follow-up for that.

Speaker #4: The offering you're talking about is Forma Build Essentials. Build Essentials is a version of Build designed to reach the small and mid-sized general contractors.

Speaker #4: So it's an effort to expand our footprint down market at a price point and a capability point that works. So it's essentially a smaller version of Autodesk Build that fits for the people who are participating in the project more broadly.

Andrew Anagnost: You're actually convolving two things there, Michael. Let me I mean, Joshua, sorry. Let me help you with that a little bit. The rebranding of everything under Forma is to acknowledge that we have an end-to-end solution that's entirely cloud-native from design, pre-construction planning, all the way into construction. Everything is branded under the Forma layer. Forma for Construction is now connected to directly through Forma Data Management to Forma Site Design and Forma Building Design. The offering you're talking about is Forma Build Essentials. Forma Build Essentials is a version of Build designed to reach the small and midsize general contractors. It's a effort to expand our footprint down market at a price point and a capability point that works. It's essentially a smaller version of Autodesk Build that fits for the people who are participating in the project more broadly.

Speaker #4: That's what that price point is. It's basically going to expand our footprint and our reach into the entire ecosystem, and it's designed to actually accelerate some of our expansion into other parts of the construction process.

Speaker #6: Okay, makes a lot of sense. Maybe just one more, and I'm going to preface this with: we have a ton of prints tonight, and I've been bouncing around on the call.

Speaker #6: So if this has been addressed already, I apologize. But if I step back, you guys just put out a really solid quarter. I don't think I've gotten anybody really picking at the results themselves.

Speaker #6: But then we also have this deal that you're announcing coming into the fold, and it's pretty sizable. And I think, if there's one piece of feedback that I've been getting since results dropped—just elsewhere in our coverage or in our software space, where companies have tried to layer in some pretty sizable M&A recently—it's been, it hasn't exactly gone well.

Speaker #6: Is there anything you can maybe give us or communicate to us that can increase the confidence that now's the right time to make this acquisition—that the core business is still healthy and nothing has changed there?

Andrew Anagnost: That's what that price point is. It's basically going to expand our footprint and our reach into the entire ecosystem, and it's designed to actually accelerate some of our expansion into other parts of the construction process.

Speaker #6: And that this is the right time to be making a deal of this size, if that makes sense?

Speaker #4: Yeah, so we're a very disciplined company when it comes to acquisitions, and I want to go back to what we did with construction, because again, we're running a very similar playbook to what we did with construction.

Joshua Hilton: Makes a lot of sense. Maybe just one more. I'm going to preface this with we have a ton of prints tonight. I've been bouncing around on calls. If this has been addressed already, I apologize. If I step back, you guys just put out a really solid quarter. I don't think I've gotten anybody really picking at the results themselves. We also have this deal that you're announcing coming into the fold. It's pretty sizable. I think if there's one piece of feedback that I've been getting since results dropped, it's just elsewhere in our coverage or in our software space where companies have tried to layer in some pretty sizable M&A recently. It hasn't exactly gone well.

Speaker #4: And frankly, over a five-year period, a lot of the pricing dynamics and all the operating dynamics are actually very similar when you adjust for the five-year difference in timeframe.

Speaker #4: So we're super disciplined about these things. We do work like this when we know we can absorb it, and we know we can execute on it.

Speaker #4: The timing's right because this is the time when you want to expand the breadth and depth of your data and context layer across entire lifecycles.

Speaker #4: The broader and deeper your context and data layer, the more competitive you are in the future agentic world. Because the more workflows you can automate, the more value you can bring to your customers.

Joshua Hilton: Is there anything that you can maybe give us or communicate to us that can increase the confidence that now's the right time to make this acquisition, that the core business is still healthy and nothing has changed there, and that this is the right time to be making a deal of this size? If that makes sense.

Speaker #4: So, the timing's right for us. We're super disciplined about processes like this, and we've been waiting and planning to do this for quite some time.

Speaker #2: Josh.

Speaker #4: Do you have anything to add?

Speaker #3: The only thing I would add, in terms of thinking about this versus the broader Autodesk business, is keep in mind that at the time of close, MaintainX will still be a very small percentage of Autodesk overall.

Andrew Anagnost: Yeah. We're a very disciplined company when it comes to acquisitions, and I want to go back to what we did with construction, because again, we're running a very similar playbook that we did with construction. Frankly, over a five-year period, a lot of the pricing dynamics and all the operating dynamics are actually very similar when you adjust for the five-year difference in time frame. We're super disciplined about these things. We do work like this when we know we can absorb it and we know we can execute on it. The timing's right because this is the time when you want to expand the breadth and depth of your data and context layer across entire life cycles.

Speaker #3: So, it's not going to be enough to influence the overall core business growth rates in a meaningful way in the initial stages. And then, just to help you understand how the MaintainX business is performing, we will give you appropriate information to understand that.

Speaker #3: So in the early quarters, we'll give you good information on that, so you can understand how it's contributing to Autodesk. But just given how small it is as a percentage overall, I would not assume a permanent standalone quarterly reporting framework on it.

Andrew Anagnost: The broader and deeper your context and data layer, the more competitive you are in the future agentic world, because the more workflows you can automate, the more value you can bring to your customers. The timing is right for us. Super disciplined about processes like this, and we've been waiting to do this and planning to do this for quite some time.

Speaker #3: But we'll certainly be transparent in the early quarters as we bring it into the company.

Speaker #6: Super helpful, guys. And again, great quarter. Thanks.

Speaker #1: Thank you.

Speaker #2: And our next question comes from the line of Tyler Ratke with Citi.

Joshua Hilton: Josh-

Andrew Anagnost: Does that make sense?

Speaker #6: Yeah, thank you for taking the question. Can you hear me okay?

Janesh Moorjani: The only thing I would add in terms of thinking about this versus the broader Autodesk business is keep in mind that at the time of close, MaintainX will still be a very small percentage of Autodesk overall. It's not going to be enough to influence the overall core business growth rates in a meaningful way in the initial stages. Just to help you understand how the MaintainX business is performing, we will give you appropriate information to understand that. In the early quarters, we'll give you good information on that so you can understand how it's contributing to Autodesk. Just given how small it is as a percentage overall, I would not assume a permanent standalone quarterly reporting framework on it. We'll certainly be transparent in the early quarters as we bring it into the company.

Speaker #3: Yes, we can.

Speaker #6: Okay, great. Andrew, I'm curious—when you talk with your big EBA customers, what is their appetite to allow Autodesk to use their data in terms of AI, and how have those conversations evolved, particularly considering the exciting roadmap and all the innovation you're doing?

Speaker #4: Yeah. Our relationship with our customers is one of transparency and choice. We are very transparent about what we're doing with their data, how we're using it, and where we're using it, and we give them choice for opting out of how we use their data.

Speaker #4: That relationship has been highly effective. It’s resulted in robust conversations with a lot of customers, and I think it’s resulted in good outcomes for them and for us.

Joshua Hilton: Great. Thanks for the help, you guys. Again, great quarter. Thanks.

Operator: Thank you. Our next question comes from the line of Tyler Radke with Citi.

Speaker #4: Everybody wants the automations we're able to deliver. A lot of customers realize that they can't deliver some of the things that they really need at the scale that they're at.

Tyler Radke: Yeah. Thank you for taking the question. Can you hear me okay?

Speaker #4: So, as long as we continue to lean into transparency and be very straightforward with our customers—direct about what we're doing and what we're not doing—and offer some level of choice, we've been having a very productive relationship with all of these customers and really good discussions.

Operator: Yes, we can.

Janesh Moorjani: Yes, we can.

Tyler Radke: Okay, great. Andrew, I am curious, as you talk with your big EBA customers, what is their appetite to allow Autodesk to use their data in terms of AI? How have those conversations evolved, particularly considering the exciting roadmap and all the innovation you are doing?

Speaker #6: Thank you.

Speaker #1: Thank you.

Speaker #2: And our next question comes from the line of Clark Jeffries with Piper Sandler.

Andrew Anagnost: Our relationship with our customers is one of transparency and choice. We are very transparent about what we're doing with their data and how we're using it, and where we're using it, and where we're going to give them choice for opting out of how we use their data. That relationship has been highly effective. It's resulted in robust conversations with a lot of customers, and I think it's resulted in good outcomes for them and for us. Everybody wants the automations we're able to deliver. A lot of customers realize that they can't deliver some of the things that they really need at the scale that they're at.

Speaker #5: Hello. Thank you for taking the question. I wanted to follow up on the discussion about MaintainX kind of graduating from subscription to subscription plus consumption.

Speaker #5: Maybe you could preview for us what that might look like for that business model. How far along are they? Is it meaningfully contributing to the growth rate?

Speaker #5: And then, a follow-up: just a lot of Autodesk's focus has been on the AEC segment and the manufacturing segment. I think there's really an opportunity with MaintainX to expand to a lot more owner-operator presence.

Andrew Anagnost: As long as we continue to lean into transparency, be very straightforward with our customers and direct about what we're doing and what we're not doing, and offering some level of choice, we've been having a very productive relationship with all of these customers and really good discussions.

Speaker #5: And so, after spanning from manufacturing to a lot of those other industries that you mentioned, in terms of critical infrastructure or commercial real estate, do you see an investment in go-to-market that will happen to make this asset extend into some of those other verticals—beef up the sales force to kind of grow owner-operator presence?

Tyler Radke: Thank you.

Operator: Thank you. Our next question comes from the line of Clarke Jeffries with Piper Sandler.

Speaker #5: Thank you.

Speaker #4: Yeah. First, it's too early to look at Maintain X through the lens of consumption and things associated with consumption. They're very early in that journey.

Clarke Jeffries: Hello. Thank you for taking the question. I wanted to follow up on the discussion about MaintainX kind of graduating from subscription to subscription plus consumption. Maybe you could preview for us what that might look like for that business model. How far along are they? Is it meaningfully contributing to the growth rate? A follow-up, just a lot of Autodesk's focus has been on the AEC segment and the manufacturing segment. I think there's really an opportunity with MaintainX to expand to a lot more owner-operator presence. After spanning from manufacturing to a lot of those other industries that you mentioned in terms of critical infrastructure or commercial real estate, do you see an investment in go-to-market that will happen to make this asset extend into some of those other verticals, beef up the sales force to grow owner-operator presence? Thank you.

Speaker #4: They've got a bunch of AI-driven capabilities that will evolve over time. Now, with regards to the larger question about branching out into those other segments—again, following very much what we did in construction—we built an entire go-to-market machinery around construction that allowed us to reach various players within the construction ecosystem.

Speaker #4: That's why we pull it out separately, and that's why we engage the way we do to make these businesses successful. We want to make sure we're building the ecosystem—not just the product ecosystem, but the go-to-market ecosystem—that allows us to reach the various customers.

Speaker #4: You heard us kind of talk pretty vocally about the first pillar being probably in the product manufacturing space. But remember, we already have a footprint in water operations, and we already have a footprint in building operations as well.

Speaker #4: Our desire is absolutely to get deeper into the owner-operator workflow, because we feel that converging them and bringing them in closer to the entire process is going to be valuable to us, valuable to them, and valuable to the rest of our customers and our ecosystem.

Andrew Anagnost: Yeah. First off, it's far too early to look at MaintainX through the lens of consumption and things associated with consumption. They're very early in that journey. They've got a bunch of AI-driven capabilities. That will evolve over time. With regards to the larger question about branching out into those other segments, again, following very much what we did in Construction, we built an entire go-to-market machinery around Construction that allowed us to reach various players within the Construction ecosystem. That's why we pull it out separately, and that's why we engage the way we do to make these businesses successful, is that we want to make sure we're building the ecosystem, not just the product ecosystem, but the go-to-market ecosystem that allows us to reach the various customers. You heard us talk pretty vocally about the first pillar being probably in the product manufacturing space.

Speaker #5: Thank you very much.

Speaker #1: Thank you. That is all the time we have for Q&A today. I would like to hand the call back over to Vice President of Investor Relations, Simon May-Smith, for any closing remarks.

Speaker #6: Thank you, Andrew, and good to speak to everyone. We'll look forward to chatting with many of you on the road over the coming weeks.

Speaker #6: If you have follow-up questions, please ping me or my team, and we'll look forward to chatting on our next quarter's earnings. Thanks very much.

Speaker #6: Goodbye.

Andrew Anagnost: Remember, we already have a footprint in water operations, and we already have a footprint in building operations as well. Our desire is absolutely to get deeper into the owner-operator workflow because we feel that converging them and bringing them in closer to the entire process is going to be valuable to us, valuable to them, and valuable to the rest of our customers in our ecosystem.

Clarke Jeffries: Thank you very much.

Operator: Thank you. That is all the time we have for Q&A today. I would like to hand the call back over to Vice President Investor Relations, Simon Mays-Smith, for any closing remarks.

Simon Mays-Smith: Thank you, Andrew. Good to speak to everyone. We'll look forward to chatting to many of you on the road over the coming weeks. If you have follow-up questions, please ping me or my team, and we'll look forward to chatting on our next quarter's earnings. Thanks very much. Goodbye.

Operator: Ladies and gentlemen, thank you for participating. This does conclude today's program, and you may now disconnect.