FutureFuel Corp (FF) Fair Value & Analysis
Basic Materials · US · Market cap $186M
Fair value as of: Jun 25, 2026
Analysis
FutureFuel Corp (FF) currently trades at $4.16, while our model-based Fair Value estimate is $1.44 — implying the stock looks roughly 65.4% 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: low).
About the company
FutureFuel Corp., together with its subsidiaries, manufactures and sells diversified inorganic chemicals, bio-based fuel, and bio-based specialty chemical products in the United States. It operates through two segments: Chemicals and Biofuels. The Chemicals segment includes custom chemicals that are used in coatings, chemical intermediates, industrial and consumer cleaning, oil and gas, and specialty chemicals for specific customers under long-term contracts; and performance chemicals, which are multi-customer specialty products such as polymer modifiers, specialty solvents, surfactants, and glycerin products. The Biofuels segment is involved in the production and sale of biodiesel and petrodiesel blends; markets its biodiesel products directly to customers through trucks, barges, and rail cars; and biodiesel using a variety of feedstocks, including soy oil, poultry fat, used cooking oil, and tallow, and generates and sells byproducts such as glycerin and distillation residue. The c…
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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.