Zhejiang Wanfeng Auto Wheel Co (002085) Fair Value & Analysis
Consumer Cyclical · CN · Market cap 28.8B CNY
Analysis
Zhejiang Wanfeng Auto Wheel Co (002085) currently trades at ¥12.34, while our model-based Fair Value estimate is ¥10.23 — implying the stock looks roughly 17.1% 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
Zhejiang Wanfeng Auto Wheel Co., Ltd., together with its subsidiaries, engages in the manufacture and sale of automotive parts and aircrafts in China. The company offers services and labor for automobile aluminum alloy wheels and motorcycle aluminum alloy wheels and other parts; lightweight magnesium materials and components for automobiles and motorcycles; technical services of metal, non-metallic materials and their products, karts, and environmental protection equipment; and coating technology services. It is involved in manufacturing and processing of metal bolts, coating treatment of mechanical parts, coating equipment; manufacturing of coating solvents; design, testing, production, sales and maintenance of general aircraft, helicopters, aircraft engines, avionics, electrical and mechanical systems; providing technical development and consulting services for the general aviation industry; and import and export of goods and technology. Zhejiang Wanfeng Auto Wheel Co., Ltd. was f…
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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.