Zhejiang Yilida Ventilator Co (002686) Fair Value & Analysis
Industrials · CN · Market cap 3.3B CNY
Analysis
Zhejiang Yilida Ventilator Co (002686) currently trades at ¥5.65, while our model-based Fair Value estimate is ¥1.13 — implying the stock looks roughly 80.0% overvalued today. We read business quality at 89/100 (high quality), in the Industrials 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 Yilida Ventilator Co.,Ltd., together with its subsidiaries, manufactures and sells central air conditioning fans, and building and engineering fans in China and internationally. It operates through Fan, Vehicle Power Supply, Automotive Die-casting Parts, New Materials, and Debt Collection and Disposal Services segments. The company offers energy-saving motorized fan systems, industrial and axial fans, and ventilation products; and air conditioner and refrigeration chain products, parts, and manufacturing equipment. It also provides automobile chargers, DC converters, and other products for use in electric vehicles, forklifts, golf carts, solar power, wind and electric power communications, and rail systems; and automotive lightweight components, such as automotive transmission housing, engine box, and retarder housing, etc. In addition, the company offers vessel and marine protective, function, and composite materials for military and civilian markets; testing and checking …
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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.