Falabella S.A (FALABELLA) Fair Value & Analysis
Consumer Cyclical · CL · Market cap 15.0T CLP
Analysis
Falabella S.A (FALABELLA) currently trades at 5,686 CLP, while our model-based Fair Value estimate is 8,880 CLP — implying the stock looks roughly 56.2% undervalued today. We read business quality at 83/100 (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: medium) — always confirm before acting.
About the company
Falabella S.A. engages in the retail sale of clothing, accessories, household, electronics, beauty, and other products in Chile, Argentina, Peru, Colombia, Uruguay, Mexico, and Brazil. It operates through Home Improvement, Real Estate, Supermarkets, and Other Businesses segments. The company operates multi-specialist stores, which sells various clothing and accessories, as well as products for the home, electronics, beauty products, and others under the Falabella brand; hypermarkets and supermarkets format that offers food and other non-food products under the Tottus brand. It also sells construction and home improvement products, including construction materials, hardware, tools, kitchen accessories, bathroom, garden, and decoration products under the Sodimac brand. In addition, the company engages in the construction and leasing of commercial centers; and provision of financial services, such as CMR, insurance brokers, and banking, as well as manufacturing of textiles. Further, it…
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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.