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Passat Société Anonyme (ALPAS) Fair Value & Analysis

Consumer Cyclical · Market cap €19.6M

Price€4.78
Fair Value€13.59
Upside+184.3%
Quality94/100
Evidence: High Range €10.19 – €16.98

Fair value as of: Jun 25, 2026

Analysis

Passat Société Anonyme (ALPAS) currently trades at €4.78, while our model-based Fair Value estimate is €13.59 — implying the stock looks roughly 184.3% undervalued today. We read business quality at 94/100 (high quality), in the Consumer Cyclical 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

Passat Société Anonyme engages in the image-assisted sale of consumer products in France. The company sells household, kitchen, DIY, garden, beauty, and leisure and fitness products. It also offers smart products designed to facilitate daily life, sourcing, marketing, and demonstration films for its customers. The company was founded in 1987 and is headquartered in Fourqueux, France.

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Frequently asked questions

Is Passat Société Anonyme (ALPAS) undervalued?
As of Jun 25, 2026, our model estimates a fair value of €13.59 versus a price of €4.78 — about +184% (undervalued). Model-based estimate, not financial advice.
What is the fair value of ALPAS?
Our 21-model fair value for Passat Société Anonyme is €13.59 (as of Jun 25, 2026), built from audited fundamentals. The current price is €4.78.
What is the quality score of ALPAS?
Passat Société Anonyme has a Quality Score of 94/100, 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.