San Miguel Corporation (SMGBF) Fair Value & Analysis
Industrials · US · Market cap $2.4B
Fair value as of: Jun 26, 2026
Analysis
San Miguel Corporation (SMGBF) currently trades at $1.00, while our model-based Fair Value estimate is $2.00 — implying the stock looks roughly 100.0% undervalued today. We read business quality at 80/100 (high quality), in the Industrials 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: medium) — always confirm before acting.
About the company
San Miguel Corporation engages in food and beverage, packaging, energy, fuel and oil, infrastructure, cement, and real estate businesses. The company processes and markets refrigerated processed meats, canned meats, ready-to-eat viands, seafood, and plant-based food products; manufactures and markets butter, margarine, cheese, milk, ice cream, and salad aids; produces and sells feeds, veterinary medicine, and pet care products; processes and sells poultry and fresh meat; mills, produces, and markets flour, flour mix, and bakery ingredients; imports and markets coffee and coffee-related products; and mills, produces, markets, and sells fermented, malt-based, and non-alcoholic beverages, as well as hard liquor in the form of gin, Chinese wine, brandy, rum, vodka, and other. It also produces and markets glass containers and molds, polyethylene terephthalate bottles and preforms, PET recycling, plastic and metal closures, corrugated cartons, woven polypropylene, kraft sacks and paperboa…
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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.