Ipsos SA (IPSOF) Fair Value & Analysis
Industrials · US · Market cap $1.9B
Fair value as of: Jun 25, 2026
Analysis
Ipsos SA (IPSOF) currently trades at $44.28, while our model-based Fair Value estimate is $93.22 — implying the stock looks roughly 110.5% 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
Ipsos SA, through its subsidiaries, provides survey-based research services for companies and institutions in Europe, the Middle East, Africa, the Americas, and the Asia-Pacific. The company offers services in the information production and analysis chain, including data collection, data processing and integration, data analysis, information delivery and presentation, and information activation. It also provides audience measurement, automotive and mobility development, brand health tracking, channel performance, corporate reputation, creative excellence, customer experience, healthcare, innovation, Ipsos MMA, Ipsos UU, market strategy and understanding, observer, public affairs, social intelligence analytics, and other specialist services, as well as research methodologies, such as device agnosticism, programmatic sampling, and digital face-to-face interview. In addition, the company offers online and mobile integrated services and device agnostic solutions that include online surv…
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Frequently asked questions
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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.