The Mosaic Company (MOS) Fair Value & Analysis
Basic Materials · US · Market cap $7.3B
Analysis
The Mosaic Company (MOS) currently trades at $21.25, while our model-based Fair Value estimate is $28.92 — implying the stock looks roughly 36.1% undervalued today. We read business quality at 94/100 (high quality), in the Basic Materials sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: high) — always confirm before acting.
About the company
The Mosaic Company, through its subsidiaries, produces and markets concentrated phosphate and potash crop nutrients. It operates in three segments: Phosphates, Potash, and Mosaic Fertilizantes. The company owns and operates mines and production facilities, which produce concentrated phosphate crop nutrients and phosphate-based animal feed ingredients, as well as concentrated phosphate crop nutrients, such as diammonium phosphate, monoammonium phosphate, and MicroEssentials, a value-added ammoniated phosphate product. It also mines, processes, and sells potash to crop nutrient manufacturers, distributors, retailers, and to customers for industrial use; and owns and operates mines, chemical plants, crop nutrient blending and bagging facilities, port terminals and warehouses, which produce and sell concentrated phosphate and potash-based crop nutrients, and phosphate-based animal feed ingredients. In addition, the company produces a double sulfate of potash magnesia product under the K…
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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.