Amplitude (AMPL) Q2 2026 earnings review
Top-Line Breakout Fueled by Statsig, But Organic Retention Slips
Amplitude delivered a massive top-line beat in Q2, with ARR accelerating to 22% YoY ($410M) and revenue growing 21% YoY ($100.9M). The controversial 'partnership' integration of Statsig proved immediately accretive, contributing $17M in net new ARR, while the core business added a robust $19M. However, profitability and retention metrics tell a more complicated story. Despite the headline ARR growth, organic NRR decelerated suddenly to 103% (from 106% in Q1). Heavy AI inference investments and M&A transition costs kept the company in a non-GAAP operating loss of $1.5M. Strong Q3 and FY26 guidance indicates management believes the heaviest transition friction is behind them, forecasting a return to operating profitability and sustained ~20% growth.
🐂 Bull Case
The seamless addition of $17M in ARR from the Statsig partnership validates the strategic pivot to capture warehouse-native experimentation workloads and AI-native developer budgets.
Customers generating >$100k in ARR surged 30% YoY to 824. This upmarket traction drove RPO up 35% YoY to $483M, providing deep revenue durability.
🐻 Bear Case
Dollar-based net retention slipped from 106% in Q1 to 103% in Q2. This suggests underlying organic churn or seat-compression is offsetting the massive new-logo and M&A ARR gains.
Unrelenting AI inference costs and M&A integration expenses kept Amplitude in the red with a $(1.5)M Non-GAAP operating loss, halting the profitability momentum built in late FY25.
⚖️ Verdict: ⚪
Cautiously Bullish. The aggressive AI transformation and Statsig integration are undeniably generating top-line momentum and massive RPO backlog. However, the sudden drop in NRR and ongoing margin investments make this a 'show me' story on eventual operating leverage.
Key Themes
Statsig Partnership Delivering Immediate Scale
The highly scrutinized strategic partnership to absorb Statsig's customer base yielded immediate results, contributing $17M of the $36M net new ARR in the quarter. This accelerates Amplitude's roadmap into warehouse-native experimentation and successfully opens new budgets controlled by 'data leaders' rather than solely product managers.
Rapid Expansion of the AI Agent Arsenal
Amplitude is aggressively shipping specific AI modules to capitalize on the macro tailwind of enterprises demanding AI acceleration. Management highlighted expanded deployments of Global Agent and Specialized Agents, alongside the newly introduced Agent Analytics and Wave. Embedding AI directly into engineering workflows via Model Context Protocol (MCP) in Claude and Slack is shifting Amplitude from a destination-app to an embedded intelligence layer.
Enterprise Upmarket Shift Accelerating
The strategic shift to target large enterprises is compounding. Customers with >$100k ARR grew 30% YoY to 824, drastically outpacing the 21% total revenue growth. This enterprise cohort is the primary driver behind the massive 35% YoY surge in Remaining Performance Obligations (RPO).
Net Retention Rate Reversing
A crucial data point contradicts the overwhelmingly positive ARR narrative: Dollar-Based Net Retention (NRR) dropped sharply to 103% from 106% in the prior quarter. While management cited a 'Pro Forma NRR' of 105% (including Statsig as if owned prior), the organic deceleration indicates that either gross churn spiked, or the massive internal GTM restructuring caused cross-sell friction in the core base.
Margin Sacrifices for Market Share
Management continues to prioritize market capture over profitability, resulting in a Non-GAAP Operating Margin of -1.4%. The heavy infrastructure costs of AI inference models and the transition expenses for the Statsig integration dragged profitability down, trailing the narrative of 'profitable growth' set in late FY25.
Persistent Stock-Based Compensation Drag
While Amplitude posted an impressive $23.7M in Free Cash Flow, this was completely offset by $27.4M in stock-based compensation (SBC). SBC remains a structural headwind for GAAP profitability and shareholder dilution, representing roughly 27% of total quarterly revenue.
Other KPIs
Accelerating significantly. Grew 35% YoY, maintaining the blistering pace set in prior quarters. This provides high visibility into future revenue and confirms that the newly restructured, technical GTM team is successfully landing longer, larger enterprise commitments.
Stable and exceptionally strong given the operating losses. Represents a 23.5% FCF margin, up from $18.2M in the prior year. This cash generation is heavily driven by working capital dynamics, specifically massive upfront collections from multi-year enterprise contracts, pushing deferred revenue up.
Reversing. The gap between GAAP and Non-GAAP profitability remains wide due to $27.4M in stock-based compensation and $3.2M in explicit acquisition-related transition costs. Guidance implies a return to Non-GAAP profitability next quarter as transition costs fade.
Guidance
Stable. Implies ~19.5% YoY growth at the midpoint. This is a slight deceleration from Q2's 21% growth but confirms the baseline revenue growth rate has structurally shifted higher from the mid-teens seen in FY2025.
Reversing. Points to a margin of ~3.3% at the midpoint, recovering from Q2's -1.4% margin. This indicates the heaviest upfront integration and hosting costs for Statsig are subsiding, allowing revenue scale to drop to the bottom line.
Accelerating. The midpoint of $409.2M implies 19.2% annual growth, a substantial raise from the Q1 guidance of $397M-$403M, directly reflecting the successful Statsig integration and strong core Q2 execution.
Accelerating compared to prior Q1 guidance of $2.5M-$6.5M. This raise demonstrates management's confidence that they can achieve the 'Rule of 24' balance of high growth and positive profit generation in the back half of the year despite ongoing AI infrastructure investments.
Key Questions
NRR Contraction Dynamics
What were the primary drivers behind the sequential drop in organic NRR to 103%? Was this a byproduct of seat-compression from legacy accounts, or friction in migrating the base to the new pricing model?
Statsig Revenue Flow-Through
With Statsig integration contributing $17M to ARR in Q2, how should we model the corresponding revenue recognition flow-through for the remainder of FY26 given fair-value accounting haircuts?
AI Inference Cost Curve
You guided to a return to non-GAAP operating profitability in Q3. Does this assume a stabilization in AI inference costs, or are there specific synergy savings from the Statsig partnership infrastructure kicking in?
Agent Analytics Monetization
Wave and Agent Analytics were just introduced to bridge product analytics and LLM observability. How are you measuring the direct ROI of these specific AI modules when pitching C-level executives, and how do they feed into the existing event-based pricing meters?