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Bourrelier Group (ALBOU) Fair Value & Analysis

Consumer Cyclical · FR · Market cap €304M

Price€48.00
Fair Value€40.64
Upside-15.3%
Quality95/100
Evidence: High Range €40.64 – €45.19

Fair value as of: Jun 24, 2026

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Analysis

Bourrelier Group (ALBOU) currently trades at €48.00, while our model-based Fair Value estimate is €40.64 — implying the stock looks roughly 15.3% overvalued today. We read business quality at 95/100 (high quality), in the Consumer Cyclical sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: high).

About the company

Bourrelier Group SA operates do-it-yourself (DIY) stores in Europe, Asia, and the United States. Its stores offer DIY and decoration products under the GAMMA and KARWEI brand name. The company also engages in the manufacture of aluminum and carbon wheels and cycling equipment under Mavic brand. In addition, it operates hotels under the Lord Byron Hotel Paris, Mayflower Hotel Paris, and Lumen Paris - Louvre Hotel names. Bourrelier Group SA was incorporated in 1956 and is headquartered in Nogent-sur-Marne, France.

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Frequently asked questions

Is Bourrelier Group (ALBOU) undervalued?
As of Jun 24, 2026, our model estimates a fair value of €40.64 versus a price of €48.00 — about −15% (overvalued). Model-based estimate, not financial advice.
What is the fair value of ALBOU?
Our 21-model fair value for Bourrelier Group is €40.64 (as of Jun 24, 2026), built from audited fundamentals. The current price is €48.00.
What is the quality score of ALBOU?
Bourrelier Group 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.