Tikehau Capital (TKKHF) Fair Value & Analysis
Financial Services · US · Market cap $3.6B
Analysis
Tikehau Capital (TKKHF) currently trades at $20.75, while our model-based Fair Value estimate is $15.25 — implying the stock looks roughly 26.5% overvalued today. We read business quality at 95/100 (high quality), in the Financial 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
Tikehau Capital is an alternative asset management group with 46.1 billion euro of assets under management (as of 30 June 2024). Tikehau Capital has developed a wide range of expertise across four asset classes (private debt, real assets, private equity, and capital markets strategies), as well as multi-asset and special opportunities strategies. Tikehau Capital provides financing solutions to companies it invests in and seeks to create long-term value for its investors. Leveraging its strong equity base (3.1 billion euro of shareholders' equity as of 30 June 2024), the firm invests its own capital alongside its investor-clients within each of its strategies. The firm prefers to invest between $0.69 million and $324 million in companies having sales value between $12.11 million and $1080 million. Tikehau Capital has 723 employees (as of 31 March 2026). Tikehau Capital is based in Paris, France with across its 17 offices in Europe, the Middle East, Asia, and North America. Tikehau Ca…
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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.