Winner Group (WINNER) Fair Value & Analysis
Consumer Defensive · TH · Market cap 1.2B THB
Fair value as of: Jun 24, 2026
Analysis
Winner Group (WINNER) currently trades at 2.10 THB, while our model-based Fair Value estimate is 3.91 THB — implying the stock looks roughly 86.2% 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: high) — always confirm before acting.
About the company
Winner Group Enterprise Public Company Limited manufactures, imports, and distributes raw materials, ingredients, food chemicals, and consumer products in Thailand. The company offers food additives comprising hydrocolloid and preservatives; food ingredients consisting of cocoa and chocolate, dried fruits and nuts, egg powder, margarine and shortening, seasoning, sugar and sweeteners, starch and flour, whipping cream, yeast and bread improver, popcorn, cooking paper, and pumpkin powder animal feed; frozen and chilled food, including fruits and vegetables, frozen French fries, cheese, and frozen bakery products; and baking powder, bakery ingredients, beverages, premixes, flour and powder, sugar, and special blend products. It also provides products under the Clos Pons, Campagna, Castella, El Avion, Golden Pot, Ital Lemon, Le Sang Des Seigneurs, La Espanola, Osterberg, Olivia, Pearl River Bridge, and Romulo brands. In addition, the company manufactures and sells skin care products, co…
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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.