Vinpai SAS (ALVIN) Fair Value & Analysis
Basic Materials · FR · Market cap €16.1M
Fair value as of: Jun 23, 2026
Analysis
Vinpai SAS (ALVIN) currently trades at €3.60, while our model-based Fair Value estimate is €3.38 — implying the stock looks roughly 6.1% overvalued today. We read business quality at 87/100 (high quality), in the Basic Materials 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: low).
About the company
Vinpai SAS designs, manufactures, and markets a range of functional ingredients based on algae, plants, minerals, and fibers. Its functional ingredients are used as natural alternatives to chemical additives in the food, cosmetics, nutritional supplementation and medical device industries. The company offers plant-based flavors, cheeses, dairy products, dressing sauces and French fries, and cakes and sweetness products, as well as technical and algae-origin solutions, salt reduction solutions, filling solutions, meat applications, and algal solutions for texturing for the food industry; and algaromatherapy and algatherapy ingredients, ocean sulfated PolySaccharide, ocean essential trace elements and amino-acids, ocean fiber biomic ingredients, and ocean unsaturated fatty-acids for the food supplementation industry. It also provides algae-origin medical devices solutions, such as algin patches, molding powders, and aesthetic and dental hygiene products; and algae-mineral based peel-o…
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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.