G Collado, S.A. (COLLADO) Fair Value & Analysis
Basic Materials · MX · Market cap 1.6B MXN
Fair value as of: Jun 24, 2026
Analysis
G Collado, S.A. (COLLADO) currently trades at 7.80 MXN, while our model-based Fair Value estimate is 7.68 MXN — implying the stock looks roughly 1.5% overvalued today. We read business quality at 88/100 (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: medium).
About the company
G Collado, S.A.B. de C.V. engages in the manufacture, transformation, processing, purchase, sale, and distribution of steel products in Mexico. The company provides blueprint products, comprising corrugated, cast-anti slip, claw anti-slip, galvanized and painted, hot and cold rolled, and steel plates, as well as black and galvanized boards; and meshes and derivatives, such as fence accessories, polished and galvanized wire, lattices, concertinas, gabion, perforating sheet, cyclonic mesh, expanded metal, structural expanded metal, ceiling and gutter, and steel grates. It offers pipeline products, including galvanized steel conduit, square industrial, oval industrial, rectangular industrial, industrial round, and standard X pipes, as well as structural tube schedules; and construction products, such as annealed wires, prefabricated castles, standard headed nail, ladders, welded mesh, and rods. In addition, the company offers commercial profiles, including commercial angles, channels, …
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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.