Jiangxi Hongcheng Environment Co (600461) Fair Value & Analysis
Utilities · CN · Market cap 12.2B CNY
Fair value as of: Jun 24, 2026
Analysis
Jiangxi Hongcheng Environment Co (600461) currently trades at ¥9.13, while our model-based Fair Value estimate is ¥16.73 — implying the stock looks roughly 83.2% undervalued today. We read business quality at 88/100 (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: medium) — always confirm before acting.
About the company
Jiangxi Hongcheng Environment Co.,Ltd., together with its subsidiaries, produces and supplies tap water in China. The company engages in municipal water supply and drainage engineering design; water pollution prevention and control; environmental protection consulting service; supply of solar photovoltaic power; sale and installation of natural gas; sale of vehicle natural gas and specialty chemical products; water quality testing and operation; solid waste disposal; and construction, operation, and maintenance of municipal pipe network facilities. It is also involved in kitchen waste treatment; urban domestic waste; incineration power generation; industrial solid waste disposal and power generation; power transmission and distribution business; urban food waste treatment; urban garbage leachate; and concentrate disposal services. The company was formerly known as Jiangxi Hongcheng Waterworks Co.,Ltd. and changed its name to Jiangxi Hongcheng Environment Co., Ltd. in February 2021. …
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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.