Yamaha Motor Co (YMHAY) Fair Value & Analysis
Consumer Cyclical · US · Market cap $7.5B
Analysis
Yamaha Motor Co (YMHAY) currently trades at $15.71, while our model-based Fair Value estimate is $5.91 — implying the stock looks roughly 62.4% overvalued today. We read business quality at 92/100 (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
Yamaha Motor Co., Ltd., together with its subsidiaries, engages in land mobility, marine, outdoor land vehicles, robotics, financial services, and other businesses in Japan, the United States, the rest of North America, Europe, Indonesia, the rest of Asia, and internationally. The company offers WaveRunners, snowmobiles, and e-bike systems; and power products, SMT assembly systems, performance dampers, unmanned systems, pools, clean water supply systems, OEM casting and forging, cell picking and imaging systems, and electric motors. It also provides motorcycles, intermediate parts for products, knockdown parts for overseas production, electrically power-assisted bicycles, electrically power-assisted bicycle drive units, electric wheelchairs, automobile engines, and automobile components; outboard motors, personal watercraft, boats, fishing boats, and utility boats; and all-terrain vehicles, recreational off-highway vehicles, and golf cars. In addition, the company offers surface mou…
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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.