Chongqing Water Group (601158) Fair Value & Analysis
Utilities · CN · Market cap 19.7B CNY
Analysis
Chongqing Water Group (601158) currently trades at ¥4.00, while our model-based Fair Value estimate is ¥2.87 — implying the stock looks roughly 28.3% overvalued today. We read business quality at 95/100 (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: high).
About the company
Chongqing Water Group Co.,Ltd. engages in water supply, wastewater treatment, sludge treatment and disposal, engineering construction, and other businesses in China. The company is also involved in the production and supply of tap water; sewage water treatment; and recycled water. It operates and manages tap water and sewage treatment plants. In addition, the company engages in municipal public works; building construction; water conservancy and hydroelectric engineering; electromechanical engineering and other engineering construction; environmental pollution control, construction engineering and municipal public engineering supervision; and manufacture of water supply and drainage equipment. Further, it sells materials; and installs pipeline and water meters, etc. Additionally, the company collects physical, chemical, and biochemical treatment of domestic and industrial sewage, initial rainwater, and other wastewater, ensuring compliance with national environmental standards befor…
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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.