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Beijing Jingneng Power Co (600578) Fair Value & Analysis

Utilities · CN · Market cap 50.1B CNY

Price¥7.49
Fair Value¥8.96
Upside+19.6%
Quality84/100
Evidence: Medium Range ¥5.76 – ¥11.20

Fair value as of: Jun 24, 2026

Analysis

Beijing Jingneng Power Co (600578) currently trades at ¥7.49, while our model-based Fair Value estimate is ¥8.96 — implying the stock looks roughly 19.6% undervalued today. We read business quality at 84/100 (high quality), in the Utilities 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

Beijing Jingneng Power Co., Ltd. produces and sells electric power and heat products in China. The company is involved in coal-fired power generation, heat supply, and new energy power generation businesses, such as wind power, photovoltaics, and energy storage. It also invests in power projects and coal mines. In addition, the company operates electric power equipment, testing, and repair of power generation equipment, as well as sells desulfurized gypsum related products. Beijing Jingneng Power Co., Ltd. was founded in 2000 and is headquartered in Beijing, China.

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Frequently asked questions

Is Beijing Jingneng Power Co (600578) undervalued?
As of Jun 24, 2026, our model estimates a fair value of ¥8.96 versus a price of ¥7.49 — about +20% (undervalued). Model-based estimate, not financial advice.
What is the fair value of 600578?
Our 21-model fair value for Beijing Jingneng Power Co is ¥8.96 (as of Jun 24, 2026), built from audited fundamentals. The current price is ¥7.49.
What is the quality score of 600578?
Beijing Jingneng Power Co has a Quality Score of 84/100, 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.