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Mastrad Société Anonyme (ALMAS) Fair Value & Analysis

Consumer Defensive · FR · Market cap €921K

Price€0.0052
Fair Value€0.0065
Upside+24.8%
Quality95/100
Evidence: Low Range €0.0060 – €0.0065

Fair value as of: Jun 26, 2026

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Analysis

Mastrad Société Anonyme (ALMAS) currently trades at €0.0052, while our model-based Fair Value estimate is €0.0065 — implying the stock looks roughly 24.8% undervalued today. We read business quality at 95/100 (high quality), in the Consumer Defensive 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: low) — always confirm before acting.

About the company

Mastrad Société Anonyme designs, distributes, and sells cooking accessories in France and the Americas. The company offers cooking thermometers under the ORKA brand; and maryse spatulas, pastry molds, whippers, and minute cookers. Mastrad Société Anonyme was incorporated in 1994 and is headquartered in Paris, France.

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Frequently asked questions

Is Mastrad Société Anonyme (ALMAS) undervalued?
As of Jun 26, 2026, our model estimates a fair value of €0.0065 versus a price of €0.0052 — about +25% (undervalued). Model-based estimate, not financial advice.
What is the fair value of ALMAS?
Our 21-model fair value for Mastrad Société Anonyme is €0.0065 (as of Jun 26, 2026), built from audited fundamentals. The current price is €0.0052.
What is the quality score of ALMAS?
Mastrad Société Anonyme 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.