Anhui Tongyuan Environment Energy Saving Co (688679) Fair Value & Analysis
Industrials · CN · Market cap 6.7B CNY
Analysis
Anhui Tongyuan Environment Energy Saving Co (688679) currently trades at ¥48.32, while our model-based Fair Value estimate is ¥6.06 — implying the stock looks roughly 87.5% overvalued today. We read business quality at 95/100 (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
Anhui Tongyuan Environment Energy Saving Co.,Ltd engages in treatment of solid waste pollution, sludge, and sewage and water environment in China. The company is involved in ecological and environmental remediation; solid waste pollution control and resource utilization; sewage and water environment management; and soil and groundwater remediation. It also engages in remediation of sludge, sewage, and water environment, including municipal sludge treatment and resource utilization, treatment and disposal of river and lake sediments, municipal and rural sewage mud-fill symbiotic treatment, treatment of black and odorous water bodies, and treatment of industrial wastewater; and environmental remediation comprising pollution site investigation, risk assessment, design and construction of restoration projects, and follow-up monitoring, and other pollution control services. In addition, the company engages in residential, commercial, and industrial projects; landfill and photovoltaic com…
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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.