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    AMPL
    Earnings call· Jun 2026(Q2 FY26)

    Amplitude Q2 FY26 earnings call AMPL

    Aug 5, 2026 Source

    Executive summary

    Amplitude Q2 FY26 — AI Transformation Drives Strong ARR Growth and Record FCF

    Amplitude delivered a strong Q2 FY26, showcasing its successful AI-native transformation and the strategic integration of Statsig. The company's new pricing and packaging model is gaining traction, driving multi-product adoption and longer contract durations. Despite gross margin pressure from AI inference costs, Amplitude is maintaining operating leverage through disciplined expense management, while its innovative AI products like Wave and custom agents are poised for future monetization and market expansion.

    Highlights

    5
    • Q2 revenue reached $100.9 million, up 21% year-over-year and 8% quarter-over-quarter.

    • Total annual recurring revenue (ARR) grew to $410 million, an increase of 22% year-over-year and $36 million sequentially, including $19 million in organic growth.

    • Customers with more than $100,000 in ARR grew to 824, an increase of 30% year-over-year.

    • Free cash flow was a record quarterly high of $23.7 million, representing 24% of revenue.

    • Total remaining performance obligations (RPO) grew 35% year-over-year to $483 million, with long-term RPO up 47%.

    Concerns

    3
    • Non-GAAP operating loss was $1.5 million, or 1.4% of revenue.

    • Gross margin was 71%, down 4 points sequentially, primarily due to Statsig integration and higher AI inference costs.

    • Net dollar retention was 105% on a pro forma basis, indicating some moderation.

    Guidance & targets

    9
    CategoryTargetConfidence
    Q3 FY26 Revenue
    $105.6 million to $108 million
    high materiality
    High
    Q3 FY26 Non-GAAP Operating Income
    $2.5 million and $4.5 million
    medium materiality
    High
    Q3 FY26 Non-GAAP Net Income per Share
    $0.02 and $0.03
    medium materiality
    High
    Full-Year 2026 Revenue
    $407.2 million and $411.2 million
    high materiality
    High
    Full-Year 2026 Non-GAAP Operating Income
    $6.3 million and $9.3 million
    high materiality
    High
    Full-Year 2026 Non-GAAP Net Income per Share
    $0.06 and $0.08
    medium materiality
    High
    Long-term Operating Margin
    20%-plus
    high materiality
    High
    Long-term Gross Margin (Amplitude business)
    low-70s
    medium materiality
    Medium
    Long-term Revenue Growth Rate
    20% (bare minimum), aiming for 30%+
    high materiality
    Medium

    Operational metrics

    33
    Non-GAAP operating loss
    $1.5M
    Q2 FY26
    Non-GAAP operating margin
    -1.4%
    Q2 FY26
    Non-GAAP net loss per share
    -$0.01$0.01 a year ago
    Q2 FY26
    Free cash flow margin
    24%22% in Q2 FY25
    Q2 FY26
    Cash and investments balance
    $162M
    Q2 FY26 end
    Capital returned (buyback)
    $69M
    Q2 FY26

    As part of share repurchase program.

    Sales and marketing expenses
    39%down from 44% in Q2 FY25
    Q2 FY26
    G&A expenses
    13%down 1 point from Q2 FY25
    Q2 FY26
    R&D expenses
    21%up approximately 3 points from Q2 FY25
    Q2 FY26

    Reflecting investment to scale Statsig opportunity and support customers.

    Total operating expenses
    $73M
    Q2 FY26
    Organic ARR growth
    $19M
    Q2 FY26

    Part of total $36M sequential ARR growth.

    Statsig incremental ARR
    $17Mvs $16M expected
    Q2 FY26

    Part of total $36M sequential ARR growth.

    Customers with multiple products
    48%
    Q2 FY26
    ARR from multi-product customers
    80%
    Q2 FY26
    ARR from customers with 5+ products
    >26%up 2x since Q2 FY25
    Q2 FY26
    New pricing/packaging adoption (Q2 ARR)
    70%up from 25% in Q1 FY26
    Q2 FY26
    New pricing/packaging adoption (total ARR)
    28%
    Q2 FY26
    Customer data usage vs entitlement
    Well into 80sup from low-60s
    Q2 FY26

    At an all-time high, indicating increased value and potential for upsell.

    AI-native companies >$100K ARR
    >40
    Q2 FY26
    Enterprise ARR mix
    >68%
    Q2 FY26
    Global agent interactions
    1.3M
    Q2 FY26
    Global agent root cause discovery
    75%improving 1 percentage point every month
    Q2 FY26
    Insights from AI agents
    >40%
    Q2 FY26

    Expected to continue to grow.

    Pull requests (engineering)
    3x
    6 months

    Increase in number of pull requests in 6 months.

    Pull request cycle time
    44 minutesdown from 5 hours
    Q2 FY26
    Bug reports
    55%down
    Q2 FY26
    Pull requests from designers/PMs
    5%
    Q2 FY26

    Submitted with no engineering involvement.

    Closing process shortened
    1 day
    Q2 FY26
    Statsig customers added
    ~40
    Q2 FY26

    Customers from the Statsig business itself, contributing to the >$100K ARR cohort.

    Economist Lens task success rate
    96.9%
    Q2 FY26

    Achieved using Amplitude Agent Analytics.

    Economist Lens weekly failures
    Down 84%
    Q2 FY26

    Achieved using Amplitude Agent Analytics.

    Coca-Cola FEMSA AI campaigns click-through rate
    11%4x higher than previous approach
    Q2 FY26

    AI-driven personalized recommendations for retailers.

    Coca-Cola FEMSA pilot to scale
    690,000from 2,500 store pilot
    Q2 FY26

    Scaling of AI-driven recommendation campaigns.

    Industry KPIs

    10
    MetricValueDetails
    Revenue growth$100.9MUSD
    Arr net new arr$410MUSD
    Rpo current rpo$483MUSD
    Bookings billings$483MUSD
    Pricing model mix70%%
    Customer account count824customers
    Multi product platform attach48%%
    Operating FCF margin rule of 40-1.4%%
    Ai product adoption monetization>40%%
    Net revenue net dollar retention105%%

    Orderbook & backlog

    3
    Total Remaining Performance Obligations (RPO)$483MQ2 FY26 end

    up 35% year-over-year

    Current Remaining Performance Obligations (cRPO)Up 30%Q2 FY26 end

    year-over-year

    Long-term Remaining Performance Obligations (RPO)Up 47%Q2 FY26 end

    year-over-year

    Product announcements

    3
    ProductTypeDetails
    Wavelaunch
    Custom Agentsupdate
    Global Chat/Agentupdate

    Deals & partnerships

    15
    StatsigAcquisition of AI expertise and technology to accelerate Amplitude's AI-native transformation and product roadmap.

    Integrated Statsig technology and customers, managing through its own AI-native evolution. Focus on optimizing the new hosting environment and cloud structure for Statsig.

    Paramount GlobalAgreement for Amplitude's platform.

    New land or expansion deal in Q2 FY26.

    Jaguar Land RoverAgreement for Amplitude's platform.

    New land or expansion deal in Q2 FY26.

    Domino's PizzaAgreement for Amplitude's platform.

    New land or expansion deal in Q2 FY26.

    Teladoc HealthAgreement for Amplitude's platform.

    New land or expansion deal in Q2 FY26.

    ChimeAgreement for Amplitude's platform.

    New land or expansion deal in Q2 FY26.

    Disney ad platformsAgreement for Amplitude's platform.

    New land or expansion deal in Q2 FY26.

    F5 NetworksAgreement for Amplitude's platform.

    New land or expansion deal in Q2 FY26.

    CourseraAgreement for Amplitude's platform.

    New land or expansion deal in Q2 FY26.

    GrammarlyAgreement for Amplitude's platform.

    New land or expansion deal in Q2 FY26.

    KrakenAgreement for Amplitude's platform.

    New land or expansion deal in Q2 FY26.

    Crunch FitnessAgreement for Amplitude's platform.

    New land or expansion deal in Q2 FY26.

    Coca-Cola FEMSALeveraging Amplitude to scale AI-driven personalized recommendations for retailers.

    Used Amplitude to validate the effectiveness of AI campaigns, leading to significant scaling and sustained revenue lift.

    ReplitUsing Amplitude AI Feedback to understand customer engagement with their AI agents.

    Connected AI Feedback to Zendesk, App Store Reviews, Twitter, and Reddit to prioritize problems and increase retention/engagement, changing weeks of manual work into a simple click.

    The EconomistUsing Amplitude Agent Analytics to score answers from their AI assistant, Lens.

    Amplitude Agent Analytics automatically scores every answer Lens gives, allowing them to monitor performance across all sessions, not just samples.

    Risks & headwinds

    2
    Gross margin pressure from Statsig integration and AI inference costsOngoing, will take some time to improve.

    Gross margin was 71% in Q2 FY26, down 4 points sequentially. Statsig business gross margin is in the low-50s. AI inference costs reduced gross margins by an additional 2 points versus Q1.

    Mitigation: Working to optimize the new hosting environment and cloud structure for Statsig. Managing sales and marketing and G&A expenses to lower levels as a percentage of revenue to offset cost increases and maintain operating leverage.

    Customer awareness and sales enablement for new productsOngoing.

    Not explicitly quantified, but acknowledged that existing customers are not fully aware of all new modules and innovations (Statsig, Wave, custom agents).

    Mitigation: Intensive efforts to educate the field and customers on the full platform, including recent sales kickoffs. Leveraging customer interest in Amplitude's 'bleeding edge' AI capabilities to drive engagement and adoption over time.

    What to watch in Q3 FY26

    5

    Statsig gross margin optimization

    Over a period of time
    CurrentLow-50s
    TargetCloser to 70-plus

    Why it matters

    Optimization of Statsig's gross margin is crucial for overall company profitability and achieving long-term operating margin targets, especially given increased AI inference costs.

    Our gross margin was down over 1 point versus Q1 due to the integration of Statsig. We are working to optimize the new hosting environment and cloud structure, but it will take some time to improve from the low-50s gross margin closer to our expectation of 70-plus for the Statsig business.

    Q&A highlights

    8

    How might Wave, as a broader AI-native product development platform, shift the buyer persona and budget from bespoke agents, and what is the potential market impact?

    Spenser explained that Wave operates at a higher level, synthesizing data from various sources to suggest product improvements. He sees a convergence of engineers, product managers, and designers into an 'AI builder' persona, automating more of the product development process. The core problem remains helping build better products, but the method changes, potentially expanding the addressable market by automating tasks previously requiring distinct roles.

    I think what we're seeing is a convergence between engineers, product managers and designers into this AI builder persona. It's not really like you have engineers who are thinking about what to build and you have product managers who are also just chipping code.

    asked by Mark Cash · answered by Spenser Skates

    2 min read6 chapters

    Detailed Narrative

    01

    AI Transformation and Product Strategy

    Amplitude has undergone an internal AI-native transformation over the past two years, integrating AI engineers and expertise across product management, design, and go-to-market functions. This internal shift informs their product strategy, which now centers on three offerings: Amplitude for deep product understanding, Statsig for feature flagging and experimentation, and Wave for self-improving products. The company aims to meet customers at various stages of AI adoption and educate them on becoming AI-native.

    02

    Statsig Integration and Impact

    The integration of Statsig, acquired for its AI expertise, has been successful, contributing $17 million in incremental ARR in Q2. While Statsig's gross margin is currently in the low-50s due to its new hosting environment, Amplitude is actively optimizing it towards a 70%+ target. Statsig is seen as a key accelerant for Amplitude's long-term plans, particularly appealing to AI-native and engineering-first teams for advanced experimentation and feature management.

    03

    New Pricing and Packaging Model

    Amplitude's new pricing and packaging strategy is gaining traction, with 70% of Q2 ARR closed under the new model and 28% of total ARR now on it. This model simplifies pricing to a single meter, offers greater cost predictability, and aims to consolidate applications onto Amplitude's platform. It is leading to increased average ARR, higher multi-product attach rates, and longer contract durations, contributing to revenue durability.

    04

    Gross Margin Pressure and Operating Expense Management

    Gross margins declined to 71% in Q2, down 4 points sequentially, primarily due to the Statsig integration and increased AI inference costs from accelerated customer adoption of AI tools. To offset this, Amplitude is aggressively managing operating expenses, with sales and marketing reduced to 39% of revenue and G&A to 13%. The company aims to continue driving these percentages lower to achieve its long-term operating margin target of 20%+.

    05

    Customer Adoption and AI Monetization

    Customers are increasingly adopting Amplitude's AI capabilities, with AI-native companies and large enterprises driving growth. Examples include Coca-Cola FEMSA achieving an 11% click-through rate with AI campaigns, Replit using AI Feedback for retention, and The Economist improving task success rates with Agent Analytics. The company plans to monetize its new Wave product, which automates product recommendations and code generation, seeing it as a multi-billion dollar opportunity.

    06

    RPO and Data Usage Trends

    Total remaining performance obligations (RPO) grew 35% year-over-year to $483 million, with current RPO up 30% and long-term RPO up 47%. Customer usage of data compared to entitlement is at an all-time high, well into the 80s (up from low-60s when Andrew joined). This indicates strong customer engagement, value realization, and future upsell opportunities, shifting growth drivers from cross-sell to upsell.

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