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Societe Centrale des Bois et Scieries de la Manche (CBSM) Fair Value & Analysis

Real Estate · FR · Market cap €132M

Price€9.50
Fair Value€12.40
Upside+30.5%
Quality95/100
Evidence: High Range €8.16 – €12.40

Fair value as of: Jun 26, 2026

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Analysis

Societe Centrale des Bois et Scieries de la Manche (CBSM) currently trades at €9.50, while our model-based Fair Value estimate is €12.40 — implying the stock looks roughly 30.5% undervalued today. We read business quality at 95/100 (high quality), in the Real Estate 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

Societe Centrale des Bois et Scieries de la Manche engages in the ownership, management, and lease of real estate properties in France. It leases offices, business properties, mixed activity locations, and residences. The company is based in Paris, France.

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Frequently asked questions

Is Societe Centrale des Bois et Scieries de la Manche (CBSM) undervalued?
As of Jun 26, 2026, our model estimates a fair value of €12.40 versus a price of €9.50 — about +31% (undervalued). Model-based estimate, not financial advice.
What is the fair value of CBSM?
Our 21-model fair value for Societe Centrale des Bois et Scieries de la Manche is €12.40 (as of Jun 26, 2026), built from audited fundamentals. The current price is €9.50.
What is the quality score of CBSM?
Societe Centrale des Bois et Scieries de la Manche has a Quality Score of 95/100, measuring profitability, growth and balance-sheet strength from non-valuation factors.

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.