Société Générale Société anonyme (SCGLY) Fair Value & Analysis
Financial Services · US · Market cap $65.5B
Fair value as of: Jun 25, 2026
Analysis
Société Générale Société anonyme (SCGLY) currently trades at $17.30, while our model-based Fair Value estimate is $23.36 — implying the stock looks roughly 35.0% undervalued today. We read business quality at 93/100 (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
Société Générale Société anonyme provides banking and financial services to individuals, corporates, and institutional clients in Europe and internationally. It operates through French Retail, Private Banking and Insurance; International Retail, Mobility and Leasing Services; and Global Banking and Investor Solutions. The company offers retail banking services, such as consumer credit, vehicle leasing and fleet management, online banking, wealth management, and equipment and vendor finance services; and insurance products, including home, vehicle, family, health, and mortgage insurance. It also provides corporate and investment banking, securities, clearing services, execution, prime brokerage, and custody services; and consumer finance, advisory and financing, and asset management and private banking services. Société Générale Société anonyme was incorporated in 1864 and is headquartered in Paris, 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.