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Betterware de México, S.A. (BWMX) Fair Value & Analysis

Consumer Cyclical · US · Market cap $647M

Price$17.64
Fair Value$35.53
Upside+101.4%
Quality95/100
Evidence: High Range $25.54 – $44.41

Analysis

Betterware de México, S.A. (BWMX) currently trades at $17.64, while our model-based Fair Value estimate is $35.53 — implying the stock looks roughly 101.4% 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

Betterware de México, S.A.P.I. de C.V. operates as a direct-to-consumer selling company in the United States and Mexico. It operates through Home Organization Products; and Beauty and Personal Care Products segments. The Home Organization Products segment provides a portfolio of products comprising kitchen and food preservation; home solutions; bedroom; bathroom; laundry and cleaning; wellness; and technology and mobility. The Beauty and Personal Care Products segment offers fragrances, color, skin care products, and toiletries. It sells its products through catalogues, as well as distributes through a network of distributors, associates, leaders, and consultants to the end customers. Betterware de México, S.A.P.I. de C.V. company is headquartered in El Arenal, Mexico. The company operates as a subsidiary of Campalier S.A. de C.V.

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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.