Xi'an Shaangu Power Co (601369) Fair Value & Analysis
Industrials · CN · Market cap 15.6B CNY
Analysis
Xi'an Shaangu Power Co (601369) currently trades at ¥8.82, while our model-based Fair Value estimate is ¥11.02 — implying the stock looks roughly 24.9% undervalued today. We read business quality at 90/100 (high quality), in the Industrials 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: high) — always confirm before acting.
About the company
Xi'an Shaangu Power Co., Ltd. operates as system solutions and service provider in the distributed energy field in the People's Republic of China and internationally. The company offers energy conversion turbine units, such as air separation compressors, axial compressors, blast furnace power recovery turbine, centrifugal compressors, industrial steam turbine, LNG compressor train, natural gas long-distance pipeline compressor, nitric acia turbine units, sinter blower residual heat recovery turbine, and water vapor compressors. It also provides engineering, procurement, and construction services; and industrial services, energy infrastructure operations, financial services, supply chain services, intelligent services, and industry solutions. The company serves various industries, such as petroleum, chemical, metallurgy, air separation, nuclear power generation, subway and urban construction, environmental protection, pharmaceuticals, etc. Xi'an Shaangu Power Co., Ltd. was founded in…
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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.