Cooper-Standard Holdings (CPS) Fair Value & Analysis
Consumer Cyclical · US · Market cap $529M
Analysis
Cooper-Standard Holdings (CPS) currently trades at $28.82, while our model-based Fair Value estimate is $48.38 — implying the stock looks roughly 67.9% undervalued today. We read business quality at 95/100 (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
Cooper-Standard Holdings Inc., through its subsidiary, manufactures sealing systems and fluid handling systems in the North America, Europe, the Asia Pacific, and the South America. The company offers sealing systems, such as dynamic seals, static seals, encapsulated glass, obstacle detection sensor system, variable extrusion, specialty sealing products, decorative trims, and frameless systems, as well as Fortrex materials platform, FlexiCore thermoplastic body seal, and FlushSeal sealing systems. It also provides fuel and brake delivery systems, including chassis and tank fuel lines, and bundles; metallic brake lines and bundles; quick connectors; low oligomer multi-layer convoluted tube; brake jounce lines; direct injection and port fuel rails; MagAlloy, a brake tube coating; ArmorTube, a brake tube coating; Series 300 and S300LT low temperature quick connect products; Gen III Posi-Lock quick connect products. In addition, the company offers fluid transfer systems comprising eCoFl…
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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.