Ampco-Pittsburgh Corporation (AP) Fair Value & Analysis
Industrials · US · Market cap $221M
Analysis
Ampco-Pittsburgh Corporation (AP) currently trades at $10.24, while our model-based Fair Value estimate is $4.82 — implying the stock looks roughly 52.9% overvalued today. We read business quality at 91/100 (high quality), in the Industrials 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
Ampco-Pittsburgh Corporation, together with its subsidiaries, engages in manufacture and sale of specialty metal products and customized equipment to commercial and industrial users worldwide. The company operates through two segments: Forged and Cast Engineered Products (FCEP); and Air and Liquid Processing (ALP). The FCEP segment produces forged hardened steel rolls, cast rolls, and forged engineered products that are used in hot and cold rolling mills by producers of steel, aluminum, and other metals; cast rolls for hot strip mills, medium/heavy section mills, roughing mills, and plate mills; and forged engineered products for narrow and wide strip and aluminum mills, back-up rolls for narrow strip mills, and leveling rolls and shafts for steel distribution market, oil and gas industry, and the aluminum and plastic extrusion industries. The ALP Aerofin segment produces custom-engineered finned tube heat exchange coils and related heat transfer products for various industries, inc…
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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.