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PAULIC Meunerie SA (ALPAU) Fair Value & Analysis

Consumer Defensive · FR · Market cap €7.4M

Price€1.61
Fair Value€1.11
Upside-30.8%
Quality95/100
Evidence: High Range €0.7700 – €1.39

Fair value as of: Jun 24, 2026

Analysis

PAULIC Meunerie SA (ALPAU) currently trades at €1.61, while our model-based Fair Value estimate is €1.11 — implying the stock looks roughly 30.8% overvalued today. We read business quality at 95/100 (high quality), in the Consumer Defensive 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

PAULIC Meunerie SA produces and sells wheat and buckwheat flour for professionals in the bakery, creperie, and food industries in France and internationally. It offers product technology, Wheat and flour analysis, and communication services. The company was formerly known as Minoterie PAULIC. The company was founded in 1957 and is based in Pontivy, France.

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Frequently asked questions

Is PAULIC Meunerie SA (ALPAU) undervalued?
As of Jun 24, 2026, our model estimates a fair value of €1.11 versus a price of €1.61 — about −31% (overvalued). Model-based estimate, not financial advice.
What is the fair value of ALPAU?
Our 21-model fair value for PAULIC Meunerie SA is €1.11 (as of Jun 24, 2026), built from audited fundamentals. The current price is €1.61.
What is the quality score of ALPAU?
PAULIC Meunerie SA 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.