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Grupo Carso, S.A. (GPOVF) Fair Value & Analysis

Industrials · US · Market cap $17.6B

Price$7.48
Fair Value$3.43
Upside-54.1%
Quality83/100
Evidence: Medium Range $2.58 – $4.29

Analysis

Grupo Carso, S.A. (GPOVF) currently trades at $7.48, while our model-based Fair Value estimate is $3.43 — implying the stock looks roughly 54.1% overvalued today. We read business quality at 83/100 (high quality), in the Industrials 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 Carso, S.A.B. de C.V., together with its subsidiaries, engages in the commercial, industrial, infrastructure and construction, and energy businesses in Mexico, North America, Central America, South America, the Caribbean, Europe, and internationally. It operates retail stores and sells various products, including electronics, household items, furniture, clothing, pharmaceuticals, health and beauty products, books, videos, music, toys, sports items, cellphones, technology products, and other merchandise, as well as traditional Mexican food under the Sanborns Cafés, MixUp, iShop, Sears, Dax, and Saks Fifth Avenue brand names. The company also manufactures and markets products and services, such as electrical and coaxial cables, telecommunications equipment, fiber optics, automotive harnesses, and piping specialized industrial components for construction and infrastructure, energy, automotive, telecommunications, and mining industries under the Condumex brand name; and engages in…

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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.