Sanyang Motor Co (2206) Fair Value & Analysis
Consumer Cyclical · TW · Market cap 47.5B TWD
Analysis
Sanyang Motor Co (2206) currently trades at 61.50 TWD, while our model-based Fair Value estimate is 69.38 TWD — implying the stock looks roughly 12.8% undervalued today. We read business quality at 80/100 (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: medium) — always confirm before acting.
About the company
Sanyang Motor Co., Ltd. engages in the manufacture and sale of automobiles, motorcycles, and their components in Taiwan, China, Asia, Europe, and internationally. The company is involved in the provision of distribution, repair, and maintenance of automobiles and its parts; product design; automotive parts; locomotives and their parts; repair and maintenance; passenger car rental; investment businesses; motorcycles and spare parts; waste disposal; senior housing; research on aluminum battery-related energy; development, manufacturing, and sales; sales of tea; real estate trading; planning and development; auto repair and auto parts sales; property insurance agency business; retail of automobiles and their parts; medical tools and other businesses; research, development, and sales of devices for detecting human physiology; electronic component manufacturing; entertainment and leisure services; camping trailers; real estate trading; automobile and parts dealership, and repair; camperv…
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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.