Ningbo Energy Group (600982) Fair Value & Analysis
Utilities · CN · Market cap 6.2B CNY
Analysis
Ningbo Energy Group (600982) currently trades at ¥5.22, while our model-based Fair Value estimate is ¥4.33 — implying the stock looks roughly 17.0% overvalued today. We read business quality at 83/100 (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
Ningbo Energy Group Co.,Ltd., together with its subsidiaries, engages in the power generation activities in China. It operates coal-fired power plants, coal-fired gas-fired thermal power plants, hydroelectric, and renewable energy power plants. The company is also involved in the cogeneration of heat and power, biomass power generation, pumped storage power generation, bulk commodity trading, and energy storage management; provision of bulk commodities, such as steam and electricity, coal, refined oil, and asphalt; heat supply activities; financial leasing; waste disposal; waterway transportation; provision of technical, energy management, and warehouse logistics services; technology research and development; fuel sales; and construction and operation of urban energy infrastructure. The company was formerly known as NINGBO THERMAL POWER CO.,LTD. and changed its name to Ningbo Energy Group Co.,Ltd. in December 2020. Ningbo Energy Group Co.,Ltd. was founded in 1994 and is based in Nin…
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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.