Xizi Clean Energy Equipment Manufacturing Co (002534) Fair Value & Analysis
Industrials · CN · Market cap 17.6B CNY
Analysis
Xizi Clean Energy Equipment Manufacturing Co (002534) currently trades at ¥21.82, while our model-based Fair Value estimate is ¥10.97 — implying the stock looks roughly 49.7% overvalued today. We read business quality at 90/100 (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: medium).
About the company
Xizi Clean Energy Equipment Manufacturing Co., Ltd., together with its subsidiaries, manufactures and sells waste heat recovery boilers in China and internationally. It offers gas turbine waste heat boiler; dry quenching coke waste heat boilers; sintering machine waste heat boilers; cement kiln waste heat boilers; hot water boilers; and power station boilers, such as circulating fluidized bed boilers, pulverized coal furnaces, and blast furnace gas. The company also provides power station auxiliary equipment, including high- and low-pressure heaters, deaerators, and condensers; waste incineration, biomass, natural gas, wastewater, and gas boilers; sludge boilers, molten salt heat absorbers, exchangers, and storage tanks; low temperature nitrogen combustion; SCR/SNCR equipment; and nuclear power equipment comprising nuclear power conventional island auxiliaries, and civil nuclear secondary and third level equipment. In addition, it offers thermal oil heat, petrochemical, and chemical…
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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.