Fujian Haixia Environmental Protection Group (603817) Fair Value & Analysis
Utilities · CN · Market cap 3.3B CNY
Analysis
Fujian Haixia Environmental Protection Group (603817) currently trades at ¥5.62, while our model-based Fair Value estimate is ¥6.77 — implying the stock looks roughly 20.5% undervalued today. We read business quality at 93/100 (high quality), in the Utilities 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
Fujian Haixia Environmental Protection Group Co.,Ltd. provides sewage treatment services in China. It offers urban domestic sewage treatment, industrial wastewater treatment, rural agricultural pollution treatment, and garbage leachate treatment; collection, classified, transportation, and classified treatment of the solid waste industry chain; and smart operations, environmental monitoring, and other field services. The company is also involved in production and manufacturing of various sewage treatment equipment, sewage discharge pipelines, sewage treatment chemicals, water quality monitoring equipment and sludge treatment equipment; construction and operation of sewage treatment facilities; sewage treatment terminal market, such as reclaimed water reuse, sludge treatment and sewage discharge. The company was founded in 2002 and is headquartered in Fuzhou, China. Fujian Haixia Environmental Protection Group Co.,Ltd. operates as a subsidiary of Fuzhou Water Group Co.,Ltd.
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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.