Compass Minerals International, Inc (CMP) Fair Value & Analysis
Basic Materials · US · Market cap $1.3B
Fair value as of: Jun 24, 2026
Analysis
Compass Minerals International, Inc (CMP) currently trades at $28.12, while our model-based Fair Value estimate is $16.74 — implying the stock looks roughly 40.5% 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: medium).
About the company
Compass Minerals International, Inc. provides essential minerals in the United States, Canada, the United Kingdom, and internationally. It operates through two segments, Salt and Plant Nutrition. The Salt segment produces, markets, and sells sodium chloride and magnesium chloride, including rock salt, mechanically and solar evaporated salt, and brine and flake magnesium chloride products; and purchases and sells potassium chloride and calcium chloride to sell as finished products or to blend with sodium chloride to produce specialty products. This segment provides products for use as a deicer for roadways, consumer, and professional use; as an ingredient in chemical production; for water treatment, human, and animal nutrition; and for various other consumer and industrial uses, as well as records management services. The Plant Nutrition segment produces sulfate of potash specialty fertilizers in various grades that are used in broadcast spreaders, direct application, and liquid fert…
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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.