Clarivate Plc (CLVT) Fair Value & Analysis
Technology · US · Market cap $1.3B
Analysis
Clarivate Plc (CLVT) currently trades at $2.01, while our model-based Fair Value estimate is $10.36 — implying the stock looks roughly 415.4% 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: low) — always confirm before acting.
About the company
Clarivate Plc provides information services in the Americas, the Middle East, Africa, Europe, and the Asia Pacific. It operates through three segments: Academia & Government, Intellectual Property, and Life Sciences & Healthcare. The company offers scientific and academic research solutions; Web of Science Research Intelligence, an AI-native solution; ProQuest solutions to access multidisciplinary curated content, such as databases, dissertations, news, primary sources, books, and video formats; library software, including Alma, library services platform; and Vega and Polaris for public libraries. It also provides patent maintenance and administrative services; Derwent Innovation, an AI-powered search; Derwent World Patents Index to identify related concepts in patent publications and navigate new or unfamiliar technology categories; CompuMark, a trademark search and watch solutions; IP Recordals managed services; and RiskMark, an AI-powered tool for evaluating trademark risk and ar…
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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.