Clairvest Group (CVG) Fair Value & Analysis
Financial Services · CA · Market cap C$1.0B
Fair value as of: Jun 26, 2026
Analysis
Clairvest Group (CVG) currently trades at C$76.00, while our model-based Fair Value estimate is C$126.40 — implying the stock looks roughly 66.3% undervalued today. We read business quality at 95/100 (high quality), in the Financial Services 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
Clairvest Group Inc. is a private equity firm specializing in mid-market, growth equity investments, buyouts, industry consolidation and acquisitions. It seeks to invest in small and mid-sized gaming (land and online) and casinos, restaurants, healthcare, experience economy, equipment rental, medical practice management, waste management, aerospace, architecture and engineering & consulting (AEC), agriculture, oil and gas field services, dental, life science and services, renewable energy, co-packing / private label manufacturing, defense, building products, environmental services, healthcare IT, interactive home entertainment, distribution, extermination and pest control, sanitary services, airfreight and logistics, document management software, systems software; metal, glass and plastic containers; paper and plastic packaging products and materials; metals and mining; water utilities, specialty educational services, specialized consumer services, human resources and employment ser…
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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.