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Chongqing Wanli New Energy Co (600847) Fair Value & Analysis

Industrials · CN · Market cap 2.2B CNY

Price¥15.10
Fair Value¥14.52
Upside-3.8%
Quality95/100
Evidence: Low Range ¥10.89 – ¥18.15

Fair value as of: Jun 24, 2026

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Analysis

Chongqing Wanli New Energy Co (600847) currently trades at ¥15.10, while our model-based Fair Value estimate is ¥14.52 — implying the stock looks roughly 3.8% overvalued today. We read business quality at 95/100 (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: low).

About the company

Chongqing Wanli New Energy Co., Ltd. engages in the design, manufacture, and sale of lead-acid batteries in China. The company was formerly known as Wanli Group Co., Ltd. and changed its name to Chongqing Wanli New Energy Co., Ltd. in January 2013. Chongqing Wanli New Energy Co., Ltd. was founded in 1943 and is based in Chongqing, China.

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Frequently asked questions

Is Chongqing Wanli New Energy Co (600847) undervalued?
As of Jun 24, 2026, our model estimates a fair value of ¥14.52 versus a price of ¥15.10 — about −4% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 600847?
Our 21-model fair value for Chongqing Wanli New Energy Co is ¥14.52 (as of Jun 24, 2026), built from audited fundamentals. The current price is ¥15.10.
What is the quality score of 600847?
Chongqing Wanli New Energy Co has a Quality Score of 95/100, measuring profitability, growth and balance-sheet strength from non-valuation factors.

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.