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Hengsheng Energy Co (605580) Fair Value & Analysis

Utilities · CN · Market cap 7.2B CNY

Price¥26.43
Fair Value¥10.03
Upside-62.1%
Quality84/100
Evidence: Medium Range ¥7.38 – ¥12.54

Analysis

Hengsheng Energy Co (605580) currently trades at ¥26.43, while our model-based Fair Value estimate is ¥10.03 — implying the stock looks roughly 62.1% overvalued today. We read business quality at 84/100 (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

Hengsheng Energy Co., Ltd engages in coal-fired thermal power business in China. The company provides steam to paper mills, textile printing and dyeing, food and dairy, home furnishing manufacturing and other enterprises in the park; and electricity to the terminal power users of the state grid. It is also involved in the cogeneration business; the CVD diamond business, which includes single crystal and polycrystalline diamonds; and terminal products are mainly lab-grown diamonds, heat sinks, and diamond cutting tools. In addition, the company offers biomass thermal power generation, photovoltaic power generation, and coal trading, and provides manufacturing equipment, environmental protection technology, and investment consulting services. The company was formerly known as Zhejiang Longyou Hengsheng Heating Co., Ltd. Hengsheng Energy Co., Ltd was founded in 2007 and is headquartered in Quzhou, China.

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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.