Loading...
Access earnings results, analyst expectations, report, slides, earnings call, and transcript.
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.
Revenue $88.6 million, up 18% year-over-year. The growth was attributed to better linearity in deal signings earlier in the quarter, growth in services business, and strong net new ARR growth in Q2.
Annual Recurring Revenue (ARR) $347 million, up 16% year-over-year and $12 million sequentially. This reflects strong enterprise strategy execution and multi-product adoption.
Non-GAAP Operating Income $0.6 million, reflecting improved operational efficiency and cost optimization.
Customers with more than $100,000 in ARR 653 customers, an increase of 15% year-over-year. Growth driven by enterprise customer expansion and cross-sell expansions.
Gross Margin 76%, down 1 point from the third quarter of 2024 but up 1 point since last quarter. Improvements were due to hosting cost optimization and monetizing services engagements.
Sales and Marketing Expenses 43% of revenue, a decrease of 1 point from the second quarter, reflecting improved sales efficiencies.
General and Administrative (G&A) Expenses 13% of revenue, down 3 points from the third quarter of 2024, indicating better cost management.
Research and Development (R&D) Expenses 19% of revenue, up 3 points from the third quarter of 2024, reflecting increased investment in talent and innovation.
Free Cash Flow $3.4 million or 4% of revenue, compared to $4.5 million or 6% of revenue during the same period last year. The decline was due to shifts in contract payment structures.
MCP server: Launched in October, it allows AI agents to interact directly with Amplitude's data, enabling non-technical users to access insights. It connects with tools like Claude, Cursor, and GitHub.
AI agents: Expanded open beta for AI agents that monitor product data, detect anomalies, and surface insights. Focused on Dashboard Agent and Session Replay Agent.
AI Visibility: Launched a free tool to track brand mentions in AI responses, helping marketers improve visibility and ranking in AI-generated content.
AI Feedback: New product launched based on Kraftful acquisition, processes user feedback from multiple sources into actionable insights.
Enterprise customer growth: Secured new and expansion deals with companies like Bentley Systems, FanDuel, Thomson Reuters, Taco Bell, and others.
AI-native adoption: AI-native companies like Granola are adopting Amplitude to accelerate growth and scale.
Revenue growth: Q3 revenue reached $88.6 million, up 18% year-over-year.
ARR growth: Annual recurring revenue grew to $347 million, up 16% year-over-year.
Contract duration: Average contract duration increased to nearly 22 months from 19 months a year ago.
AI-first strategy: Rebuilt the company to be AI-native, reorganized product development, and acquired four AI companies to strengthen AI capabilities.
Multi-product adoption: 71% of ARR now comes from customers using multiple products, reflecting a shift towards platform-based solutions.
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 transformation: While AI is transforming product development, the company faces challenges in scaling and automating the 'use and learn' loop, which remains underdeveloped compared to the 'build and ship' loop.
Product innovation: The company is heavily investing in AI-native products and innovation, which could pose risks if these products fail to meet customer expectations or if competitors outpace them in innovation.
Customer adoption: The success of new AI-native products like MCP, AI agents, and AI Feedback depends on customer adoption and satisfaction. Failure in adoption could impact growth.
Operational efficiency: While operational efficiency has improved, maintaining this efficiency while scaling and investing in innovation could be challenging.
Revenue growth: The company has raised its revenue expectations but faces risks in sustaining this growth, especially with increasing competition and market dynamics.
Contract duration and RPO: Although contract duration and RPO have improved, there is a risk that these metrics could decline if customer retention or new customer acquisition slows.
Economic uncertainties: Broader economic uncertainties could impact enterprise spending on analytics and AI solutions, affecting the company's financial performance.
Financial Outlook for Q4 2025: Revenue is expected to be between $89 million and $91 million, representing an annual growth rate of 15% at the midpoint. Non-GAAP operating income is projected to be between $3.5 million and $5.5 million. Non-GAAP net income per share is expected to range from $0.04 to $0.05, assuming diluted weighted average shares outstanding of approximately 142.6 million.
Financial Outlook for Full Year 2025: Revenue is expected to be between $340.8 million and $342.8 million, representing an annual growth rate of 14% at the midpoint. Non-GAAP operating income is projected to range from $0.5 million to $2.5 million. Non-GAAP net income per share is expected to be between $0.06 and $0.08, assuming weighted average shares outstanding of approximately 142 million on a fully diluted basis.
Strategic Growth and Product Expansion: The company plans to introduce new AI-native products over the next few quarters, including automated insights, a global chat assistant, and additional agents. These innovations aim to expand the user base and enhance the value of the analytics platform.
Market Trends and AI Integration: Amplitude is focusing on redefining analytics as an AI-native system that learns, reasons, and acts. The company is leveraging its behavioral data set to create a unified system of improvement, positioning itself as a leader in the AI analytics space.
Enterprise Customer Growth: The company is focusing on gaining new enterprise customers and driving cross-platform sales with existing customers. This includes monetizing data ingested into the platform and cross-selling new products.
The selected topic was not discussed during the call.
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.
The earnings call summary indicates strong financial performance with revenue and ARR growth, a focus on enterprise customers, and product innovation. The Q&A revealed positive analyst sentiment, particularly regarding sales efficiency and strategic deals. The increased revenue guidance and share repurchase program further boost sentiment. While there are some uncertainties about AI monetization and gross margin improvements, the overall outlook is optimistic. Considering the company's market cap, a positive stock price movement of 2% to 8% is expected over the next two weeks.
All transcripts are sourced directly from the official live webcast or the company’s official investor relations website. We use the exact words spoken during the call with no paraphrasing of the core discussion.
Full verbatim transcripts are typically published within 4–12 hours after the call ends. Same-day availability is guaranteed for all S&P 500 and most mid-cap companies.
No material content is ever changed or summarized in the “Full Transcript” section. We only correct obvious spoken typos (e.g., “um”, “ah”, repeated 10 times”, or clear misspoken ticker symbols) and add speaker names/titles for readability. Every substantive sentence remains 100% as spoken.
When audio quality is poor or multiple speakers talk over each other, we mark the section instead of guessing. This ensures complete accuracy rather than introducing potential errors.
They are generated by a specialized financial-language model trained exclusively on 15+ years of earnings transcripts. The model extracts financial figures, guidance, and tone with 97%+ accuracy and is regularly validated against human analysts. The full raw transcript always remains available for verification.