China Yuchai International Limited (CYD) Fair Value & Analysis
Consumer Cyclical · US · Market cap $1.8B
Analysis
China Yuchai International Limited (CYD) currently trades at $45.98, while our model-based Fair Value estimate is $43.10 — implying the stock looks roughly 6.3% overvalued today. We read business quality at 80/100 (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: medium).
About the company
China Yuchai International Limited manufactures, assembles, and sells diesel and natural gas engines for trucks, buses, pickups, construction and agricultural equipment, and marine and power generation applications. It operates through two segments: Yuchai and HLGE. The Yuchai segment manufactures on- and off-road powertrain solutions and applications. The HLGE is engaged in hospitality and property development activities. The company provides diesel engines comprising 4- and 6-cylinder diesel engines, high-horsepower marine and power generator engines; natural gas engines, hydrogen combustion engines, methanol combustion engines, diesel power generators, power generator sets, engine components and parts, diesel engine parts, and remanufacturing services; as well as plug in hybrid engines, range extenders, power generation powertrains, hybrid powertrains, electric drive axle powertrain, and fuel cell systems. It also offers repair, maintenance, training and skills-enhancement traini…
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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.