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    ADSK
    Earnings call· Jan 2026(Q4 FY26)

    Autodesk Q4 FY26 earnings call ADSK

    Feb 26, 2026 Source

    Executive summary

    Autodesk Q4 FY26 — Strong Performance and AI Leadership

    Autodesk delivered robust Q4 FY26 results, exceeding guidance across key financial metrics, driven by strong underlying business momentum and strategic execution. The company is positioning for future growth by investing in cloud platforms and AI, while navigating a sales optimization plan that introduces near-term disruption but aims for long-term efficiency and new business capture. Management expresses confidence in its unique data, context, and expertise to monetize agentic AI.

    Highlights

    5

    • Total revenue grew 19% as reported and 14% in constant currency excluding the new transaction model.

    • Billings increased 33% as reported and 32% in constant currency excluding the new transaction model.

    • Non-GAAP operating margin expanded by 120 basis points year-over-year to 38%.

    • Fourth quarter free cash flow reached $972 million.

    • Share repurchases for the full year totaled $1.4 billion, reducing shares outstanding by 2.1 million.

    Concerns

    3

    • GAAP operating margin remained broadly flat year-over-year, impacted by a $100 million restructuring charge.

    • Fiscal '27 guidance incorporates prudence for potential short-term disruption from sales restructuring, particularly affecting new product subscriptions.

    • The new transaction model is expected to be an incremental 1 point headwind to non-GAAP margins in FY27.

    Guidance & targets

    8
    CategoryTargetConfidence
    Fiscal 2027 Billings
    $8.48 billion to $8.58 billion
    high materiality
    High
    Fiscal 2027 Revenue
    $8.1 billion to $8.17 billion
    high materiality
    High
    Fiscal 2027 GAAP Operating Margin
    26% to 28%
    medium materiality
    High
    Fiscal 2027 Non-GAAP Operating Margin
    38.5% to 39%
    high materiality
    High
    Fiscal 2027 Free Cash Flow
    $2.7 billion to $2.8 billion
    high materiality
    High
    Fiscal 2027 Stock-Based Compensation as % of Revenue
    below 10%
    medium materiality
    High
    Fiscal 2027 Share Buybacks
    similar to fiscal '26 in total dollars
    high materiality
    High
    Multi-year Share Buybacks as % of Free Cash Flow
    approximately 50%
    high materiality
    High

    Segment performance

    2
    SegmentRevenueYoYQoQMargin
    Make Business (aggregate)
    Performed well, with continued focus on multi-seat adoption in manufacturing accounts and strong adoption of features like AutoConstrain.
    Includes Construction and Fusion
    		—23%——
    Construction
    Strong momentum with owners, designers, GCs, and subcontractors seeking to converge design and construction workflows. Part of the broader 'Make Business' segment.
    		—accelerated——

    Operational metrics

    10
    Non-GAAP Operating Margin
    38%up 120 bps year-over-year
    Q4 FY26

    Benefiting from operating leverage from revenue outperformance and ongoing cost discipline, partly offset by margin drag from new transaction model.

    GAAP Operating Margin
    22%broadly flat year-over-year
    Q4 FY26

    Primarily reflecting a restructuring charge of $100 million related to go-to-market optimization.

    Share Buybacks
    $1.4 billiona bit more than 50% of our free cash flow
    FY26

    Increased activity due to recent share price weakness, lowering average purchase price and reducing share count.

    Shares Repurchased
    1.1 million
    Q4 FY26

    Repurchased in the fourth quarter.

    New Transaction Model Revenue Contribution
    $137 million
    Q4 FY26

    Contribution from the new transaction model to revenue.

    New Transaction Model Billings Contribution
    $185 million
    Q4 FY26

    Contribution from the new transaction model to billings.

    New Transaction Model Revenue Tailwind
    1.5down from roughly 3.5 percentage points in Q1
    FY27

    The noise from the new transaction model will significantly diminish during the year.

    New Transaction Model Margin Headwind
    1incremental
    FY27

    Incremental headwind to non-GAAP margins.

    Sketch AutoConstrain Constraints Delivered
    3.8 millionup from 2.6 million last quarter
    Q4 FY26

    Since its launch last year, the AI model has delivered over 3.8 million constraints, up from 2.6 million last quarter. The model has been retrained and UX improved.

    Cash Restructuring Outflows
    $135 million to $160 million
    FY27

    Expected during the year, part of the sales optimization plan.

    Industry KPIs

    6
    MetricValueDetails
    Revenue growth19%%
    Bookings billings33%%
    Pricing model mix17%%
    Operating FCF margin rule of 4038%%
    Ai product adoption monetization3.8 millionconstraints
    Headcount internal ai productivity7%%

    Product announcements

    2
    ProductTypeDetails
    Forma for Constructionupdate
    AI-powered Sketch AutoConstrain in Fusionupdate

    Deals & partnerships

    1
    World Labsinvestment

    Autodesk made an investment in World Labs, a deep technology company focused on world models for physical AI. This partnership aims to bring World Labs technology into the media and entertainment space initially, with future expansion into architecture design, digital twins, factory automation, and robotics.

    Capital programs

    1
    Go-to-market optimization restructuringcompleted
    Period spend: $100 million

    Benefit: Improved long-term new business capture and margin expansion

    GAAP operating margin was broadly flat year-over-year, primarily reflecting a restructuring charge of $100 million related to our go-to-market optimization. The action we announced in January marks the culmination of our sales and marketing optimization program.

    Risks & headwinds

    3
    Potential disruption from sales restructuringearlier in the year (FY27)

    temporary risk to billings and revenue

    Mitigation: Prudence embedded in FY27 guidance; focus on new business creation and expansion; operational guardrails with partners.

    Margin drag from new transaction modelFY27

    roughly 1 point of incremental headwind

    Mitigation: Noise from the model will significantly diminish during the year.

    Softness in commercial AECOQ4 FY26

    offsetting strength in data centers, infrastructure, and industrial buildings

    Mitigation: Diversified portfolio and strong performance in other AECO sub-segments.

    Q&A highlights

    7

    How does Autodesk fit into the broader AI ecosystem, specifically with LLMs, and how do its competitive moats help balance this relationship?

    Autodesk's goal is to ensure its proprietary foundation models, combined with frontier models, always outperform frontier models alone. This is due to its unique access to large volumes of real-world, high-fidelity 3D data, deep context knowledge in design and engineering, and a decade of specialized AI expertise, which are difficult for competitors to replicate.

    “It's the data, the context and the expertise. We are sitting on volumes, large volumes of data about real-world problems, real-world situations, real-world constraints that is simply very scarce and very hard to get access to.”

    asked by Saket Kalia · answered by Andrew Anagnost

    2 min read5 chapters

    Detailed Narrative

    01

    AI Strategy and Competitive Moats

    Autodesk emphasizes its unique position in agentic AI development, citing access to large volumes of high-fidelity, contextual, geometry-rich data spanning 2D and 3D, deep industry context knowledge across design and engineering, and a decade of specialized AI expertise. The company aims to combine frontier models with its proprietary foundation models to deliver superior solutions, focusing on monetizing machine usage of its IP through its Autodesk Platform Services (APS). This strategy leverages data scarcity and context complexity as hard-to-replicate advantages.

    02

    Go-to-Market Optimization

    The company completed the final phase of its go-to-market optimization in January, including a restructuring charge of $100 million in Q4 FY26. This program aims to enhance efficiency, drive new business creation, and shift incentives towards new accounts and expansion, both for its sales force and channel partners. While expected to cause short-term disruption, particularly in customer-facing sales roles, it is seen as crucial for long-term growth and margin expansion, aligning with the original strategic blueprint.

    03

    Convergence in AECO and Manufacturing

    Autodesk is driving convergence across design, make, and operate workflows in AECO and manufacturing. In AECO, customers are seeking to reduce risk, optimize costs, and enhance efficiency, leading to strong momentum in infrastructure and construction. In manufacturing, customers are adopting Autodesk solutions for digital transformation, leveraging unified data and AI-driven automation to increase agility and innovation, as demonstrated by successful deployments in brewing, shipbuilding, and automotive sectors.

    04

    Autodesk Platform Services (APS) and API Monetization

    APS is highlighted as an open platform purpose-built for an agentic AI world, enabling efficient data processing, accelerated AI innovation, and scalable deployment of AI solutions. The company is beginning to monetize machine usage of its APIs, targeting sophisticated customers performing 24/7 compute and access, with early positive signs of adoption. This strategy aims to expand TAM by monetizing project activity and system automation beyond individual tasks, leveraging the platform's ability to integrate complex workflows.

    05

    Data Center Demand and Industry Capacity

    Data center projects, driven by sophisticated owners, continue to be a strong area of demand, with owners adopting more of Autodesk's suite to manage design and execution. Management views this as a shift in industry capacity, where demand in one area frees up capacity for other projects when it eventually subsides, indicating a broader underlying capacity problem in the industries served. This dynamic suggests that increased efficiency from AI will enable more projects to be executed across the ecosystem.

    AI-generated summary of the company’s earnings call. Not investment advice.