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Grupo Bafar, S.A. (BAFARB) Fair Value & Analysis

Consumer Defensive · MX · Market cap 40.3B MXN

Price130.00 MXN
Fair Value80.88 MXN
Upside-37.8%
Quality77/100
Evidence: Medium Range 38.98 MXN – 112.36 MXN

Analysis

Grupo Bafar, S.A. (BAFARB) currently trades at 130.00 MXN, while our model-based Fair Value estimate is 80.88 MXN — implying the stock looks roughly 37.8% overvalued today. We read business quality at 77/100 (high quality), in the Consumer Defensive sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: medium).

About the company

Grupo Bafar, S.A.B. de C.V. produces and sells food products in Mexico and internationally. It operates through Consumer Products, Retail, International, New Fiber, Vector, Insurance, B Insurance, and Flycapital divisions. The company offers packaged meat, chicken, turkey, nuggets, tenders, and pork products; beef, salchichon, and pork and cheese; sausages, including hams and bacon under the Parma, Sabori, Country, Griller's, Country Dishes, Montebello, Bafar, Burr, Ponderosa, Perry, and Three Castles brands. It also operates BIF, Carnemart, and La Pastora stores. In addition, the company acquires, develops, and leases real estate properties. Further, it offers microcredit and business loans for commercial, agricultural, and livestock sectors. Additionally, the company offers insurance services and investments for small and medium-sized companies. The company was founded in 1983 and is based in Chihuahua, Mexico.

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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.