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Groupe Bruxelles Lambert SA (GBLBF) Fair Value & Analysis

Financial Services · US · Market cap $10.9B

Price$90.64
Fair Value$129.68
Upside+43.1%
Quality84/100
Evidence: Medium Range $57.90 – $225.63

Fair value as of: Jun 26, 2026

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Analysis

Groupe Bruxelles Lambert SA (GBLBF) currently trades at $90.64, while our model-based Fair Value estimate is $129.68 — implying the stock looks roughly 43.1% undervalued today. We read business quality at 84/100 (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: medium) — always confirm before acting.

About the company

Groupe Bruxelles Lambert SA invests in a portfolio of industrial, consumer goods, and business service companies in Belgium, other European countries, North America, and internationally. It operates through six segments: Holding, Imerys, Canyon, Affidea, Sanoptis, and GBL Capital and Sienna Investment Managers. The company was incorporated in 1902 and is headquartered in Brussels, Belgium.

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Frequently asked questions

Is Groupe Bruxelles Lambert SA (GBLBF) undervalued?
As of Jun 26, 2026, our model estimates a fair value of $129.68 versus a price of $90.64 — about +43% (undervalued). Model-based estimate, not financial advice.
What is the fair value of GBLBF?
Our 21-model fair value for Groupe Bruxelles Lambert SA is $129.68 (as of Jun 26, 2026), built from audited fundamentals. The current price is $90.64.
What is the quality score of GBLBF?
Groupe Bruxelles Lambert SA has a Quality Score of 84/100, 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.