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AdVini S.A (ALAVI) Fair Value & Analysis

Consumer Defensive · FR · Market cap €66.5M

Price€17.00
Fair Value€3.87
Upside-77.2%
Quality94/100
Evidence: High Range €2.31 – €8.13

Fair value as of: Jun 24, 2026

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Analysis

AdVini S.A (ALAVI) currently trades at €17.00, while our model-based Fair Value estimate is €3.87 — implying the stock looks roughly 77.2% overvalued today. We read business quality at 94/100 (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

AdVini S.A. engages in the production, trading, and aging of wines in France and internationally. The company markets and distributes through distribution channels, networks and representative offices. It also offers online services. AdVini S.A. was founded in 1870 and is headquartered in Clermont-l'Hérault, France.

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Frequently asked questions

Is AdVini S.A (ALAVI) undervalued?
As of Jun 24, 2026, our model estimates a fair value of €3.87 versus a price of €17.00 — about −77% (overvalued). Model-based estimate, not financial advice.
What is the fair value of ALAVI?
Our 21-model fair value for AdVini S.A is €3.87 (as of Jun 24, 2026), built from audited fundamentals. The current price is €17.00.
What is the quality score of ALAVI?
AdVini S.A 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.