Willing New Energy Co (002667) Fair Value & Analysis
Industrials · CN · Market cap 4.2B CNY
Analysis
Willing New Energy Co (002667) currently trades at ¥13.90, while our model-based Fair Value estimate is ¥1.97 — implying the stock looks roughly 85.8% overvalued today. We read business quality at 80/100 (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
Willing New Energy Co., Ltd. operates in the vibrating screen and PC production line manufacturing industry in China and internationally. It is involved in the research, design, manufacture, and sale of industrial and mining vibrating screens comprising linear, circular, high frequency, warm and hot material, and multi-unit combined vibrating screens, as well as feeders, crushers, dry tailings, urban garbage, mixing station, crushing system, and other washing equipment; and provision of after-sales and engineering services. The company also provides lithium ore beneficiation and basic lithium battery raw material lithium salt processing and smelting business. In addition, it offers lepidolite and lithium carbonate, as well as carbonic acid. Further, the company is involved in the research, design, manufacture, sale, and service of mining, construction, and road construction machinery and equipment to coal, construction, metallurgy, mining, and road construction, as well as other hea…
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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.