Leggett & Platt, Incorporated (LEG) Fair Value & Analysis
Consumer Cyclical · US · Market cap $1.5B
Analysis
Leggett & Platt, Incorporated (LEG) currently trades at $10.92, while our model-based Fair Value estimate is $20.06 — implying the stock looks roughly 83.7% undervalued today. We read business quality at 95/100 (high quality), in the Consumer Cyclical 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
Leggett & Platt, Incorporated, together with its subsidiaries, designs, manufactures, and sells engineered components and products in the United States, Europe, China, Canada, Mexico, and internationally. The company offers steel rod, drawn wire, innersprings, specialty foam chemicals and additives, for use in bedding and furniture, semi-finished mattresses, private label finished mattresses, pillows and toppers, static foundations, and adjustable beds to industrial users of steel rod and wire, manufacturers of finished bedding, bedding brands and mattress retailers, e-commerce retailers, big box retailers, department stores, and home improvement centers. It also provides mechanical and pneumatic lumbar support and massage systems for automotive seating, seat suspension systems, motors and actuators, and cables; and engineered hydraulic cylinders to automobile original equipment manufacturers (OEMs) and suppliers, aerospace OEMs and suppliers, and mobile equipment OEMs. In addition,…
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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.