Sigma Foods, S.A. (SIGMAFA) Fair Value & Analysis
Consumer Defensive · MX · Market cap 85.8B MXN
Analysis
Sigma Foods, S.A. (SIGMAFA) currently trades at 15.44 MXN, while our model-based Fair Value estimate is 27.50 MXN — implying the stock looks roughly 78.1% undervalued today. We read business quality at 91/100 (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
Sigma Foods, S.A.B. de C.V., a consumer-packaged goods company, produces, markets, and distributes food products in Mexico, the United States, Central and South America, Europe, and internationally. It operates through Sigma and Other segments. The company offers cooked meats comprising hams, sausages, mortadella, and bacon; fresh meat; dry meat consisting of cured meats and salami; dairy products, such as cheese, yogurt, cream, and butter; refrigerated pizzas, prepared meals and food, snacks, plant-based protein products, ready-to-drink coffee, fish, burgers, dry goods, and canned products; other frozen and refrigerated food; and alternative proteins. It sells its products under the Aoste, Bar S, Bernina, Better Balance, Braedt, Camelia, Campofrio, Caroli, Cesar Moroni, Checo, Chen, Chimex, Cochonou, Comnor, Del Prado, Don Diego, El Cazo, Fiorucci, Franja, Fud, Galicia, Grill House by Sigma, Iassa, Ibero, Juris, Justin Bridou, La Chona, La Villita, Laska, Lekkerland, Longmont, Los …
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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.