CEMEX, S.A. (CEMEXCPO) Fair Value & Analysis
Basic Materials · MX · Market cap 314B MXN
Fair value as of: Jun 24, 2026
Analysis
CEMEX, S.A. (CEMEXCPO) currently trades at 21.03 MXN, while our model-based Fair Value estimate is 17.45 MXN — implying the stock looks roughly 17.0% overvalued today. We read business quality at 94/100 (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
CEMEX, S.A.B. de C.V., together with its subsidiaries, engages in the production, marketing, distribution, and sale of cement, ready-mix concrete, aggregates, urbanization solutions, and other construction materials and services worldwide. It offers gray ordinary portland, white portland, and blended cement products; masonry or mortar products; standard ready-mix, architectural and decorative, rapid-setting, fiber-reinforced, fluid-fill, roller-compacted, self-consolidating, pervious, and antibacterial, and other concrete products; aggregate products, including crushed stone and manufactured sand, gravel, sand, and recycled concrete; and vertua products. The company also provides urbanization solutions for construction chemicals, mortars, concrete products, and asphalt businesses, as well as municipal and industrial waste management solutions; and construction, demolition, and excavation waste solutions. CEMEX, S.A.B. de C.V. was founded in 1906 and is based in San Pedro Garza Garcí…
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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.