Compagnie Financière Tradition SA (CFNCF) Fair Value & Analysis
Financial Services · US · Market cap $2.8B
Analysis
Compagnie Financière Tradition SA (CFNCF) currently trades at $360.25, while our model-based Fair Value estimate is $110.08 — implying the stock looks roughly 69.4% overvalued today. We read business quality at 92/100 (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
Compagnie Financière Tradition SA operates as an interdealer broker of financial and non-financial products worldwide. The company provides capital market products, including basis swaps, credit and currency derivatives, inflation products, Latin American derivatives, non-deliverable swaps, overnight index swaps, short dates, and Turkish fixed income and money market, as well as interest rate derivatives, options, and swaps. It offers energy and commodity products, such as coal, electricity, environmental products, natural gas, oil, precious metals, property derivatives, pulp and paper, refined products, soft commodities, tradition energy, weather, LNG, petroleum and LPG, and renewable energy credits. In addition, the company provides equities comprising cash and preferred equities, equity derivatives, ETFs, institutional cash equities, single-stock options, delta-one products, exotics, post-reorg equities, index variance and equity finance swaps, and dividend swaps; and fixed incom…
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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.