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Beijing Jingneng Thermal Co (002893) Fair Value & Analysis

Utilities · CN · Market cap 2.7B CNY

Price¥10.12
Fair Value¥8.33
Upside-17.7%
Quality85/100
Evidence: Medium Range ¥5.68 – ¥10.42

Fair value as of: Jun 25, 2026

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Analysis

Beijing Jingneng Thermal Co (002893) currently trades at ¥10.12, while our model-based Fair Value estimate is ¥8.33 — implying the stock looks roughly 17.7% overvalued today. We read business quality at 85/100 (high quality), in the Utilities 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

Beijing Jingneng Thermal Co., Ltd. engages in the heating business in China. It is involved in the transformation of heating facilities and pipelines, the improvement of smoke exhaust and dust removal systems, pollutant emissions meeting standards, etc. The company was formerly known as Beijing Huayuanyitong Thermal Technology Co., Ltd. and changed its name to Beijing Jingneng Thermal Co., Ltd. in April 2023. Beijing Jingneng Thermal Co., Ltd. was founded in 2002 and is based in Beijing, China.

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Frequently asked questions

Is Beijing Jingneng Thermal Co (002893) undervalued?
As of Jun 25, 2026, our model estimates a fair value of ¥8.33 versus a price of ¥10.12 — about −18% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 002893?
Our 21-model fair value for Beijing Jingneng Thermal Co is ¥8.33 (as of Jun 25, 2026), built from audited fundamentals. The current price is ¥10.12.
What is the quality score of 002893?
Beijing Jingneng Thermal Co has a Quality Score of 85/100, 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.