Whirlpool S.A (WHRL3) Fair Value & Analysis
Consumer Cyclical · BR · Market cap R$5.8B
Analysis
Whirlpool S.A (WHRL3) currently trades at R$3.93, while our model-based Fair Value estimate is R$8.33 — implying the stock looks roughly 112.0% undervalued today. We read business quality at 95/100 (high quality), in the Consumer Cyclical 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
Whirlpool S.A. manufactures, sells, import, and exports home appliances in Brazil. The company offers refrigerators, freezers, refrigerator-freezers, air conditioners, ice makers, stoves, dishwashers, garbage disposals and compactors, trash compactors, and vacuum cleaners. It also provides maintenance and repair of electrical products and parts; electronics, hydraulics, metallurgy, chemicals and iron, painting, and construction services; budgetary advice; auxiliary services in the areas of security, health, leisure, daily life, and well-being; marketing and advertising; intermediation in the trade of products; sale of subscriptions through electronic means; and marketing activities of clothing, accessories, home and kitchen utensils, and other products. It sells its products under the Brastemp, Consul, KitchenAind, Compra Certa, B.blend, and Insinkerator brands. The company was founded in 1957 and is based in São Paulo, Brazil. Whirlpool S.A. operates as a subsidiary of Whirlpool 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.