China Sciences Ecorizon Tech Co (301175) Fair Value & Analysis
Industrials · CN · Market cap 8.0B CNY
Analysis
China Sciences Ecorizon Tech Co (301175) currently trades at ¥5.22, while our model-based Fair Value estimate is ¥4.98 — implying the stock looks roughly 4.6% overvalued today. We read business quality at 89/100 (high quality), in the Industrials 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: medium).
About the company
China Sciences Ecorizon Tech Co., Ltd. provides waste treatment and disposal services. The company is involved in the investment, construction, and operation of domestic waste incineration power generation projects; generation of electricity, heat, and biogas; and provision of heating services to industrial enterprises. It also offers treatment and disposal of various types of urban waste, such as household waste, kitchen waste, urban sludge, and medical waste. In addition, the company provides operation management consulting and on-site supervision services related to waste treatment and disposal projects. Further, it offers hazardous waste treatment and disposal services; and designs, produces, and sells environmental protection equipment required for waste treatment and disposal projects, including grate furnaces and biogas purification equipment. The company was formerly known as Beijing China Sciences Runyu Environmental Technology Co., Ltd. and changed its name to China Scienc…
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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.