CCN (CCN) Fair Value & Analysis
Financial Services · FR · Market cap €955M
Fair value as of: Jun 25, 2026
Analysis
CCN (CCN) currently trades at €171.98, while our model-based Fair Value estimate is €319.01 — implying the stock looks roughly 85.5% 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
Caisse Régionale de Crédit Agricole Mutuel de Normandie-Seine Société coopérative offers various banking products and services to individuals, professionals, farmers, associations, and companies in France. The company provides savings and securities accounts; real estate, personal, student, credit consolidation, work, housing transition, creation and installation, and vehicle loans; insurance products, including life, home, car and 2-wheeler, health, death, funeral, life accident, liability, legal protection, mobile, consumer credit and home borrower, association, employee, provident, and agricultural equipment and activity insurances. It offers debit and credit cards; mobile payment services; news and magazines; payment terminals; and funding products; as well as engages in real estate investment, and real estate and furniture leasing activities. The company was incorporated in 2000 and is headquartered in Bois-Guillaume, France.
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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.