Commercial Metals Company (CMC) Fair Value & Analysis
Industrials · US · Market cap $8.5B
Analysis
Commercial Metals Company (CMC) currently trades at $71.14, while our model-based Fair Value estimate is $43.31 — implying the stock looks roughly 39.1% overvalued today. We read business quality at 95/100 (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: high).
About the company
Commercial Metals Company manufactures, recycles, and fabricates steel and metal products, and related materials and services in the United States, Poland, China, and internationally. It operates through three segments: North America Steel Group; Europe Steel Group; and Emerging Businesses Group. The company processes and sells ferrous and nonferrous scrap metals to steel mills and foundries, aluminum sheet and ingot manufacturers, brass and bronze ingot makers, copper refineries and mills, secondary lead smelters, specialty steel mills, high temperature alloy manufacturers, and other consumers. It also manufactures and sells finished long steel products, including reinforcing bar, merchant bar, light structural, wire rod, and other special sections, as well as semi-finished billets for rerolling and forging applications. In addition, the company provides fabricated rebar used to reinforce concrete primarily in the construction of commercial and non-commercial buildings, hospitals, …
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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.