AB SKF (publ) (SKUFF) Fair Value & Analysis
Industrials · US · Market cap $12.2B
Analysis
AB SKF (publ) (SKUFF) currently trades at $23.95, while our model-based Fair Value estimate is $19.80 — implying the stock looks roughly 17.3% overvalued today. We read business quality at 92/100 (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: high).
About the company
AB SKF (publ) designs, manufactures, and sells bearings and units, seals, lubrication systems, condition monitoring, and services worldwide. It operates in two segments, Industrial and Automotive. The company offers rolling, mounted and housings, super-precision, slewing, plain, magnetic, and thin section bearings; industrial and automotive seals; lubricants, manual lubrication tools, lubricators, automatic lubrication systems, and lubrication system components; maintenance products, such as hydraulic, mechanical, and alignment tools, as well as heaters; belts, pulleys, chains, sprockets, bushings and hubs, couplings, and bolts and tightening systems; condition monitoring systems; test and measuring equipment, such as waviness and roundness analyzers, noise and vibration testers, and grease test rigs, as well as calibration with traceability, machine training and support, and upgrades and refurbishment services; and vehicle aftermarket products. It provides application engineering s…
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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.