DoubleVerify Holdings (DV) Fair Value & Analysis
Communication Services · US · Market cap $1.6B
Analysis
DoubleVerify Holdings (DV) currently trades at $10.44, while our model-based Fair Value estimate is $7.75 — implying the stock looks roughly 25.8% overvalued today. We read business quality at 95/100 (high quality), in the Communication Services sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: high).
About the company
DoubleVerify Holdings, Inc. provides media effectiveness platforms in the United States. The company offers DV Authentic Ad, a metric of digital media quality, which evaluates the existence of fraud, brand suitability, viewability and geography for each digital ad; DV Authentic Attention that provides data to drive campaign performance; Custom Contextual solution, which allows advertisers to match ads to relevant content to maximize user engagement and drive campaign performance; and Scibids AI, an AI-powered digital campaign optimization solution. It also provides Rockerbox, enables advertisers to unify cross-channel conversion and spend data and apply multi-touch attribution, marketing mix modeling, and incrementality testing to measure and optimize the impact of advertising; DV Authentic AdVantage, an AI-powered performance optimization solution for advertisers to improve campaign outcomes across proprietary video platforms; DV Publisher Suite, a unified solution for digital publ…
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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.