Dorman Products, Inc (DORM) Fair Value & Analysis
Consumer Cyclical · US · Market cap $3.7B
Fair value as of: Jun 24, 2026
Analysis
Dorman Products, Inc (DORM) currently trades at $128.15, while our model-based Fair Value estimate is $103.60 — implying the stock looks roughly 19.2% overvalued today. We read business quality at 95/100 (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
Dorman Products, Inc. supplies replacement and upgrade parts for the motor vehicle aftermarket industry in the United States and internationally. It operates through segments Light Duty, Heavy Duty, and Specialty Vehicle segments. The company offers engine products, including intake and exhaust manifolds, oil filters and coolers, fans, thermostat housings, and throttle bodies; undercar products, such as fluid lines, fluid reservoirs, connectors, 4-wheel drive components and axles, drain plugs, other engine, transmission, and axle components; steering and suspension products comprising control arms, ball joints, tie-rod ends, brake hardware and hydraulics, wheel and axle hardware, suspension arms, knuckles, links, bushings, and leaf springs, as well as other suspension, steering, and brake components; body products, including door handles and hinges, window lift motors, window regulators, switches and handles, wiper components, lighting, electrical, and other interior and exterior ve…
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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.