Zhejiang Weiming Environment Protection Co (603568) Fair Value & Analysis
Industrials · CN · Market cap 33.2B CNY
Analysis
Zhejiang Weiming Environment Protection Co (603568) currently trades at ¥16.14, while our model-based Fair Value estimate is ¥21.94 — implying the stock looks roughly 35.9% undervalued today. We read business quality at 86/100 (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: medium) — always confirm before acting.
About the company
Zhejiang Weiming Environment Protection Co., Ltd., together with its subsidiaries, invests, manufactures, constructs, and operates environment protection equipment in China and internationally. It operates through five segments: Solid Waste Treatment, Kitchen Waste and Sewage Treatment, Hazardous Waste Treatment, Smart Sanitation, and Engineering Equipment. The company invests, constructs, and manages waste incineration and power generation projects, including waste incineration boiler, flue and gas cleaning facilities, automation control, sewage leachate treatment, and kitchen waste treatment; and sewage, kitchen waste, and sludge treatment projects, such as black and odorous water, anaerobic sludge digestion in sewage treatment plant, organic and inorganic waste water treatment, river sludge solidification, and resource utilization. It also engages in the construction and operation of fly ash and general industrial solid waste landfill projects; and planning, design, investment, c…
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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.