Strauss Group (SGLJF) Fair Value & Analysis
Consumer Defensive · US · Market cap $5.6B
Analysis
Strauss Group (SGLJF) currently trades at $47.52, while our model-based Fair Value estimate is $15.33 — implying the stock looks roughly 67.7% overvalued today. We read business quality at 89/100 (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: medium).
About the company
Strauss Group Ltd., together with its subsidiaries, develops, manufactures, markets, sells, and distributes various food and beverage products in Israel, North America, Brazil, Europe, and internationally. The company operates through six segments: Health & Wellness; Fun & Indulgence; Israel Coffee; International Coffee; Strauss Water; and Other. It offers yogurts, dairy desserts, soft cheeses, flavored milk beverages, soft cheeses, milk and beverages, flavored milk beverages, refrigerated dips and spreads, fresh pasta products, honey products, olive oil, confitures, cereal and granola bars, fruit preserves, and confitures, as well as plant-based dairy alternatives drinks, desserts, and cream. The company also provides sauces, dressings, spreads, natural juices, dry yeast, margarine, goat's milk yogurt, tofu, butter spreads, cream cheeses, sweet snack bars, chocolate tablets, sweet spreads, candies, chewing gum, wafers, salty snacks, and cereal and granola snacks. In addition, it of…
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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.