Amplitude, Inc (AMPL) Fair Value & Analysis
Technology · US · Market cap $867M
Fair value as of: Jun 24, 2026
Analysis
Amplitude, Inc (AMPL) currently trades at $6.66, while our model-based Fair Value estimate is $7.09 — implying the stock looks roughly 6.5% undervalued today. We read business quality at 95/100 (high quality), in the Technology sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: medium) — always confirm before acting.
About the company
Amplitude, Inc., together with its subsidiaries, provides an AI analytics platform that helps analyze customer behavior within digital products in the United States and internationally. It offers Amplitude Analytics, which provides real-time insights into user behavior; Amplitude Session Replay, a tool that offers a qualitative perspective by reconstructing user journeys; Amplitude Feature Experimentation, which enables product, data, and engineering teams to build experiments; Amplitude Web Experimentation, a solution that reduces the need for engineering support and accelerates testing; Amplitude Activation, which resolves identity conflicts, streamlines data integration, and facilitates organizations to personalize and activate campaigns and experiences; Amplitude Guides and Surveys that helps companies to deploy in-product guides, tours, and surveys using the power of behavioral insights to fuel great results; Amplitude AI Agents, accomplish specific goals, such as increasing ch…
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How we calculate Fair Value
Each company is valued through a stack of independent intrinsic-value models (DCF variants, residual-income, multiples and more), blended into one family-balanced consensus and weighted by how much trustworthy data backs it. A separate quality layer scores the fundamentals. Every input is real reported data — nothing guessed.
Educational research only · not financial advice · no buy/sell recommendation. Model-based estimates are not certainties; their reliability depends on data quality and assumptions.