COFACE SA (CFACY) Fair Value & Analysis
Financial Services · US · Market cap $2.8B
Fair value as of: Jun 26, 2026
Analysis
COFACE SA (CFACY) currently trades at $18.67, while our model-based Fair Value estimate is $33.86 — implying the stock looks roughly 81.4% 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
COFACE SA, through its subsidiaries, provides trade credit insurance products and services for small and medium enterprises, mid-market companies, international corporations, international companies, financial institutions, and clients of distribution partners. It offers insurance products, including TradeLiner; EasyLiner, a range of contracts for small and medium enterprises; GlobaLiner, that offers multinationals services, and management and oversight tools; CofaNet, a central internet portal that enables policyholders to manage their contracts; Coface Dashboard, a tool providing client risk analyses and reports; CofaMove, a mobile app that includes the key features of CofaNet; CofaServe, an API offer; and AlyX, a credit risk management software, as well as Single Risk medium-term insurance for commercial and political risks. The company also provides business information, debt collection, factoring and surety bonds services. In addition, it offers contract surety bonds, customs a…
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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.