Eagle Materials Inc (EXP) Fair Value & Analysis
Basic Materials · US · Market cap $6.7B
Analysis
Eagle Materials Inc (EXP) currently trades at $221.09, while our model-based Fair Value estimate is $131.43 — implying the stock looks roughly 40.6% overvalued today. We read business quality at 97/100 (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
Eagle Materials Inc., through its subsidiaries, manufactures and sells heavy construction products and light building materials in the United States. The company operates in four segments: Cement, Concrete and Aggregates, Gypsum Wallboard, and Recycled Paperboard. It engages in the mining of limestone for the manufacture, production, distribution, and sale of portland cement, including Portland limestone cement; grinding and sale of slag; and mining of gypsum for the manufacture and sale of gypsum wallboards used to finish the interior walls and ceilings in residential, commercial, and industrial structures, as well as well as containerboard and lightweight packaging grades. The company is also involved in the manufacture and sale of recycled paperboard to the gypsum wallboard industry and other paperboard converters; sale of readymix concrete; and mining and sale of aggregates, such as crushed stone, sand, and gravel. Its products are used in commercial and residential construction…
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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.