Standard Motor Products, Inc (SMP) Fair Value & Analysis
Consumer Cyclical · US · Market cap $875M
Analysis
Standard Motor Products, Inc (SMP) currently trades at $38.75, while our model-based Fair Value estimate is $39.00 — implying the stock looks roughly 0.6% undervalued today. We read business quality at 94/100 (high quality), in the Consumer Cyclical sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: high) — always confirm before acting.
About the company
Standard Motor Products, Inc. manufactures and distributes replacement automotive parts in the United States, Europe, Canada, Mexico, Poland, and internationally. The company operates through four segments: Vehicle Control, Temperature Control, Nissens Automotive, and Engineered Solutions. It provides ignition, emissions, and fuel delivery systems, such as air injection and induction components, air management valves, regulators and solenoids, exhaust gas recirculation components, fuel injectors and components, fuel valves, ignition coils, connectors and sockets, modules, pumps, relays and fuses, starting and charging system parts, and vapor and purge components. The company also offers electrical switches and actuators; anti-lock brake and vehicle speed sensors, fluid level sensors, and pressure sensors comprising tire pressure monitoring, temperature sensors, advanced driver assistance systems sensors, battery cables, pigtails, and sockets; electrical wire, terminals, connectors, …
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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.