GCC, S.A. (GCWOF) Fair Value & Analysis
Basic Materials · US · Market cap $3.9B
Analysis
GCC, S.A. (GCWOF) currently trades at $12.05, while our model-based Fair Value estimate is $11.51 — implying the stock looks roughly 4.5% overvalued today. We read business quality at 95/100 (high quality), in the Basic Materials 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: high).
About the company
GCC, S.A.B. de C.V., through its subsidiaries, produces, markets, and distributes cement, aggregates, ready-mix concrete, and other materials for the construction industry in Mexico and the United States. It offers cement, ready mix concrete, building materials, and asphalt, as well as energy. The company also provides specialty products, including Komponent, a shrinkage-compensating expanding concrete additive; Metaforce, a reactive and consistent pozzolan that is used as an alternative for fly ash; Microsilex for use in bridge decks and paving; Rapid Set, a solution for concrete applications; and Versabind, a cementitious that is used as filler in asphalt mixes as a replacement for lime. It distributes its products through distribution centers and independent wholesale distributors. The company was formerly known as Grupo Cementos de Chihuahua, S.A.B. de C.V. and changed its name to GCC, S.A.B. de C.V. in March 2021. The company was founded in 1941 and is based in Chihuahua, Mexic…
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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.