YouGov plc (YUGVF) Fair Value & Analysis
Industrials · US · Market cap $334M
Fair value as of: Jun 25, 2026
Analysis
YouGov plc (YUGVF) currently trades at $2.85, while our model-based Fair Value estimate is $3.29 — implying the stock looks roughly 15.4% undervalued today. We read business quality at 95/100 (high quality), in the Industrials 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: high) — always confirm before acting.
About the company
YouGov plc provides online market research services in the United Kingdom, the Americas, the Middle East, Mainland Europe, India, and the Asia Pacific. It operates through three divisions: Data Products, Research, and Shopper. The Data Products division offers syndicated data products, which are available to clients on a subscription basis such as YouGov BrandIndex, that allows users to continuously monitor 16 fundamental metrics; YouGov Profiles, offers the detailed and real-time portrait of consumer segments. The Research division provides a range of quantitative and qualitative services, including YouGov RealTime Omnibus, a fast-turnaround, multi-client omnibus survey service; YouGov Surveys, a panel-powered and self-service survey building platform; and Custom Research, that provides full end-to-end service, including sample framing, questionnaire design, analysis, presentations and more. The CPS division offers household consumer purchasing data, such as Shopper Consumer Tracki…
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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.