Amplitude, Inc. (AMPL) Q4 2025 Earnings Call Transcript
Access earnings results, analyst expectations, report, slides, earnings call, and transcript.
Overview
The earnings call summary and Q&A reveal strong financial performance, strategic growth in AI analytics, and successful enterprise customer acquisition. The new pricing model aligns with enterprise needs, and the InfiniGrow acquisition enhances AI capabilities. While there are some unclear management responses, the overall sentiment is positive, with significant growth opportunities and strong profitability. The market cap suggests a moderate stock reaction, leading to a positive prediction.
Key Financial Performance
Fourth Quarter Revenue $91.4 million, up 17% year-over-year. Reasons for change: Exceeded the high end of revenue guidance and marked one of the strongest quarters in Amplitude's history.
Annual Recurring Revenue (ARR) $366 million, up 17% year-over-year and $18 million sequentially. Reasons for change: Highest net new ARR quarter since 2021, driven by balanced execution and increased multiproduct and $100,000 ARR lands.
Non-GAAP Operating Income $4.2 million or 4.6% of revenue. Reasons for change: Improved operational efficiency and balanced execution.
Customers with more than $100,000 in ARR 698 customers, an increase of 18% year-over-year. Reasons for change: Growth in multiproduct adoption and AI-related customer expansion.
Enterprise Customer ARR Up 20% year-over-year. Reasons for change: Higher retention and expansion rates, focus on enterprise-grade AI analytics platform, and longer-term contracts.
Dollar-Based Net Retention Above 105%, up from 100% in 2024. Reasons for change: Improved cross-sell expansions and multiproduct adoption.
Gross Margin 77%, flat year-over-year and up 1 point sequentially. Reasons for change: Optimization of hosting and monetization of services engagements.
Free Cash Flow $11.2 million or 12% of revenue in Q4, compared to $1.5 million or 2% of revenue last year. Reasons for change: Improved cash collections and shift to contracts with annual payments in advance.
Fiscal Year 2025 Revenue $343.2 million, up 15% year-over-year. Reasons for change: Strong enterprise growth and multiproduct adoption.
Customers with $1 million or more in ARR 56 customers, up 33% year-over-year. Reasons for change: Ability to land significant accounts and grow them over time.
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Operating Highlights
AI Agents: Launched new AI agents that allow teams to move from insight to action in minutes using analytics, cohorts, experiments, and messaging in one continuous workflow. These agents are integrated with platforms like Anthropic, Figma, OpenAI, GitHub, and Slack.
Agentic Analytics Platform: Achieved a 76% success rate on complex production-grade queries, which is 7x better than a straight text-to-SQL approach. This platform enables faster and more accurate decision-making.
InfiniGrow Acquisition: Acquired InfiniGrow, an AI-native marketing analytics startup, to connect spend, behavior, and revenue impact, strengthening the platform's capabilities.
Enterprise Growth: Enterprise ARR grew 20% year-over-year, with higher retention and expansion rates. The enterprise segment is now the core growth engine.
AI Adoption: Over 25 AI companies are now customers with more than $100,000 in ARR. One of the world's largest AI labs became a 7-figure customer, replacing fragmented internal tools with Amplitude's platform.
Global Expansion: Highlighted new enterprise customers, including NTT DOCOMO, Siemens, and a major music streaming app, showcasing global adoption.
Multiproduct Adoption: 74% of ARR comes from customers with more than one product, up 15 percentage points from last year. Guides and surveys are the fastest-growing products.
Improved Retention: Net dollar retention improved to 105%, driven by cross-sell expansions and multiproduct adoption.
Pricing Simplification: Introduced a new pricing strategy centralizing monetization of products as a percentage uplift on the core platform charge, reducing friction for adoption.
AI Integration: Positioned AI as a structural tailwind, emphasizing the importance of analytics in the AI era. Focused on enabling teams to learn, iterate, and automate faster.
Platform Consolidation: Continued to consolidate fragmented markets by offering a comprehensive platform that integrates multiple analytics workflows.
M&A Strategy: Strengthened M&A strategy to accelerate R&D roadmap and innovation, supported by a strong balance sheet.
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Risk or Challenges
Forward-looking statements: Management highlighted that forward-looking statements are subject to risks and uncertainties, including factors beyond the company's control, which could cause actual results to differ materially from expectations.
AI-driven analytics: The rapid adoption of AI in analytics creates competitive pressure and the need for continuous innovation to maintain differentiation. There is also a risk of misalignment between AI capabilities and customer needs.
Market competition: The company faces competition from both point solutions and other comprehensive platforms, which could impact its ability to win new customers and retain existing ones.
Customer adoption and retention: Challenges in driving adoption of new AI tools and ensuring customer retention, especially as the company transitions to an AI-focused platform.
Pricing and packaging strategy: The new pricing model, while aimed at reducing friction, may face challenges in customer acceptance and could impact revenue predictability.
Economic uncertainties: Broader economic conditions could impact customer budgets and spending on analytics solutions, potentially affecting revenue growth.
Operational scalability: The need to scale operations to support enterprise customers and multiproduct adoption could strain resources and impact service quality.
Regulatory compliance: As the company expands its AI capabilities, it must navigate complex regulatory environments, particularly around data privacy and AI ethics.
M&A strategy: The company's aggressive M&A strategy to accelerate R&D could pose integration risks and financial strain if not executed effectively.
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Guidance & Outlook
Financial Outlook for Q1 2026: Revenue is expected to be between $91.7 million and $93.7 million, representing an annual growth rate of 16% at the midpoint. Non-GAAP operating income is expected to be between negative $4.5 million and negative $2.5 million. Non-GAAP net income per share is expected to be between negative $0.02 and negative $0.01, assuming basic weighted average shares outstanding of approximately 135.1 million.
Financial Outlook for Full Year 2026: Revenue is expected to be between $390 million and $398 million, representing an annual growth rate of 15% at the midpoint. Non-GAAP operating income is expected to be between $7 million and $13 million. Non-GAAP net income per share is expected to be between $0.08 and $0.13, assuming weighted average shares outstanding of approximately 145.9 million on a fully diluted basis.
AI Analytics Platform Growth: The company expects AI capabilities to reduce barriers to adoption of its full platform, leading to greater monetization opportunities. The release of AI tools is expected to align customer value with growth opportunities, driving profitable business growth.
Enterprise Customer Growth: The enterprise segment is expected to remain the core growth engine, with a focus on gaining new enterprise customers and driving cross-platform sales with existing customers.
Pricing and Packaging Strategy: The company has introduced a simplified pricing and packaging strategy to centralize monetization of products like experimentation, session replay, guides, and surveys. This is expected to encourage greater consumption and reduce friction in adoption.
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Shareholder Return Plan
Share Buyback Program: Our Board has approved an additional reserve of $100 million to be used for buybacks. We have already purchased in the open market under our current buyback. Given the strength in our balance sheet and the underlying business, this additional reserve will be utilized for further buybacks.
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Key Q&A
Q:How do you see Amplitude's agents and third-party agents evolving, and what differentiates Amplitude's agents from third-party agents?
A:Amplitude's agents and third-party agents use the same underlying infrastructure. Both utilize the MCP model context protocol to connect into Amplitude and request a set of calls. Amplitude's agents are designed to interpret queries and provide answers by pulling in different contexts, whether from external sources like Claude or Slack or within Amplitude's UI. The differentiation lies in the orchestration and specialized tool calls available to Amplitude's agents.
Q:Was the upside in Q4 numbers lighter than in the past, and what factors contributed to this?
A:Q4 was strong for new logo ARR, with many new customers starting their journey with Amplitude. However, a large proportion of ARR was booked later in the quarter, and there was less big expansion during the quarter. This setup creates opportunities for future growth, as new customers are expected to expand over time.
Q:What contributed to the improvement in net dollar retention (NRR) in 2025?
A:The improvement in NRR was primarily due to cross-sell capabilities. Amplitude trained its sales team to sell the platform and introduced new capabilities. Past capacity-related issues were resolved, and customers' data ingestion into the platform contributed to NRR improvements. Both upsells and cross-sells are expected to drive further improvements.
Q:How will volume upsells contribute to FY '26 growth, especially after contract rightsizing?
A:Amplitude introduced new pricing and packaging that rewards customers for adding more data into the platform, reducing marginal costs. This structure encourages customers to ingest more data without fear of high costs. Growth will primarily come from cross-sell opportunities and product expansion, with upsells also contributing.
Q:How does the new pricing model align with enterprise needs and cost predictability?
A:The new pricing model provides transparency and reduces friction for customers. It aligns with enterprise needs by offering visibility into data ingestion costs and marginal incremental pricing. Customers find it more predictable and less fearful of cost increases, which encourages adoption and long-term contracts.
Q:What is the significance of the InfiniGrow acquisition for Amplitude?
A:The InfiniGrow acquisition brings expertise in AI analytics and automating workflows. The team has deep insights into the future of AI analytics and familiarity with marketing analysts. This acquisition positions Amplitude to better serve customers transitioning from legacy MarTech tools to advanced analytics platforms.
Q:What is the natural pathway for product adoption, and how will agents drive cross-selling?
A:Analytics is the core of Amplitude's platform, making other products like experiments, session replay, guides, and surveys more valuable. Agents enhance productivity by automating tasks like session replay analysis and experimentation. This integration of analytics and agents drives cross-selling opportunities.
Q:What factors are driving increased win rates against point solutions?
A:Increased win rates are driven by the sales team's ability to demonstrate platform value and the product team's creation of well-integrated products. Customers value the seamless workflows and advanced capabilities of Amplitude's platform, which are ahead of competitors.
Q:What is the expected growth of Agentic queries over the next 12-24 months?
A:Agentic queries are expected to become the majority of queries, as agents automate tasks like KPI monitoring, root cause analysis, and experimentation. The growth of Agentic queries is outpacing direct usage of Amplitude dashboards, indicating a shift towards automation.
Q:Are AI agents being monetized separately under the new pricing and packaging?
A:Most AI agents are embedded within the core platform, driving data ingestion and product expansion. While some new products may have additional fees, the primary focus is on leveraging AI capabilities to enhance platform usage and cross-sell opportunities.
Q:How is the shift to Agentic analytics impacting new users and go-to-market strategy?
A:The shift to Agentic analytics is not introducing new user types but is enhancing the experience for existing users like product, marketing, engineering, and data teams. The go-to-market strategy focuses on educating users about AI capabilities and demonstrating product value.
Q:How is Amplitude balancing demand from smaller customers with its move upmarket?
A:Amplitude serves both start-ups and enterprises by leveraging innovation from smaller customers and applying it to enterprise solutions. The rise of Vibe-Coded apps presents opportunities for analytics, and Amplitude aims to serve all customer sizes with advanced capabilities.
Q:Are there any specific verticals showing outsized growth in 2026?
A:AI companies are a significant growth area, with 25 contracts over $100,000 and a 7-figure deal with a major foundational model lab. This indicates strong demand from AI-focused verticals.
Q:Is there competition from data platform players like Snowflake and Databricks?
A:Amplitude differentiates itself by offering advanced analytics capabilities with higher accuracy (76% vs. ~10% for competitors). Its context layer and iterative querying capabilities provide a superior experience compared to general-purpose data platforms.
Q:What factors contributed to the strong profitability and free cash flow performance?
A:Structural changes like longer contract durations, improved sales efficiency, and internal use of agentic capabilities contributed to profitability. These changes allow the sales team to focus on new and expansion deals, driving growth with leverage.
Q:Why is the full-year revenue guidance range wider than normal?
A:The wider range reflects the breadth of opportunities Amplitude is pursuing, including product innovation and targeting enterprise customers. It is not indicative of any specific concerns.
Q:Review of Unclear Management Responses
A:Management avoided directly addressing the specific growth expectations for Agentic queries over the next 12-24 months, providing only general statements about their potential to dominate query usage. Additionally, they did not provide detailed metrics or examples to substantiate claims about increased win rates or the impact of AI on customer budgets.
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Earnings Word Cloud
The most frequently occurring keywords in this quarter's earning call
AI analytics
Anthropic
Global Agent
InfiniGrow AI
MCP
NTT DOCOMO
OpenAI
Siemens
afternoon Full
audience
breakdown
builder AI
channel
chart
chat
cohort experiment
context
dashboard
development loop
filter
finding
frontier
hour
insight action
lab
loyalty program
music apps
production
query
repeat purchase
session replay
software
traffic
user behavior
workflow
AMPL Transcript
Amplitude, Inc. (AMPL) Q4 2025 Earnings Call Transcript
Positive2-19
The earnings call summary and Q&A reveal strong financial performance, strategic growth in AI analytics, and successful enterprise customer acquisition. The new pricing model aligns with enterprise needs, and the InfiniGrow acquisition enhances AI capabilities. While there are some unclear management responses, the overall sentiment is positive, with significant growth opportunities and strong profitability. The market cap suggests a moderate stock reaction, leading to a positive prediction.
Amplitude, Inc. (AMPL) Presents at UBS Global Technology and AI Conference 2025 Transcript
Neutral12-4
Amplitude, Inc. (AMPL) Q3 2025 Earnings Call Transcript
Positive11-5
The company's earnings call and Q&A reveal a strong focus on AI and product innovation, driving customer interest and adoption. The raised Q4 guidance, multi-year contracts, and strategic investments in AI tools suggest a positive outlook. Despite some unclear management responses, the overall sentiment remains positive, supported by strong pipeline maturity and strategic client relationships. Given the market cap, a positive stock price movement of 2% to 8% is expected over the next two weeks.
Amplitude, Inc. (AMPL) Presents At Citi's 2025 Global Technology, Media And Telecommunications Conference Transcript
Neutral9-4
AMPL Slides
AMPL Report
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