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CRLA (CRLA) Fair Value & Analysis

Financial Services · FR · Market cap €1.9B

Price€97.03
Fair Value€129.05
Upside+33.0%
Quality95/100
Evidence: High Range €96.79 – €161.31

Analysis

CRLA (CRLA) currently trades at €97.03, while our model-based Fair Value estimate is €129.05 — implying the stock looks roughly 33.0% 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 du Languedoc Société coopérative provides banking products and services in France. It offers bank accounts and cards; mobile payment; savings accounts, savings plans, and fixed-term accounts; stock market and financial investments; retirement savings; and real estate investment. The company also provides home, car and motorcycle, health and life, leisure, and borrower's insurance products; and online banking services. In addition, it engages in fundraising, consulting, leasing, and factoring activities. It serves individuals, professionals and associations, farmers, private banking, companies, cooperatives, real estate development, local authorities, and renewable energies clients. The company was incorporated in 2006 and is headquartered in Lattes, France. Caisse Régionale de Crédit Agricole Mutuel du Languedoc Société coopérative is a subsidiary of Crédit Agricole S.A.

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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.