Dana Incorporated (DAN) Fair Value & Analysis
Consumer Cyclical · US · Market cap $4.0B
Analysis
Dana Incorporated (DAN) currently trades at $28.71, while our model-based Fair Value estimate is $6.96 — implying the stock looks roughly 75.8% overvalued today. We read business quality at 94/100 (high quality), in the Consumer Cyclical 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
Dana Incorporated, together with its subsidiaries, provides power-conveyance and energy-management solutions for on-highway vehicles in North America, Europe, South America, and the Asia Pacific. The Light Vehicle segment provides axles, driveshafts, internal combustion engine (ICE), hybrid and electric transmissions, e-axle and e-transmission systems, inverters, electric motors, controllers, sealing and thermal products, e-sealing, e-thermal cooling systems, battery and electronics cooling, hydrogen fuel cell cooling, and new power industrial cooling. The Commercial Vehicle segment offers axles, driveshafts, hybrid and electric transmissions, e-axle and e-transmission systems, inverters, electric motors, controllers. The company offers electrodynamic technologies comprising motors, inverters, software and control systems, battery-management systems, and fuel cell plates. The company also provides sealing solutions, such as gaskets, seals, cam covers, and oil pan modules; thermal-ma…
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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.