Hangzhou Dadi Haiyang Environmental Protection Co (301068) Fair Value & Analysis
Industrials · CN · Market cap 3.8B CNY
Analysis
Hangzhou Dadi Haiyang Environmental Protection Co (301068) currently trades at ¥27.31, while our model-based Fair Value estimate is ¥13.05 — implying the stock looks roughly 52.2% overvalued today. We read business quality at 93/100 (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
Hangzhou Dadi Haiyang Environmental Protection Co., Ltd. engages in the chemical utilization and harmless disposal business in China. It is involved in the collection, transportation, storage, and utilization of waste mineral oil, waste emulsion, waste filter elements, waste oil barrels, waste oil drums (pots), and other hazardous waste. The company engages in the dismantling and utilization of televisions, refrigerators, air conditioners, washing machines, and computers; and printers, copiers, fax machines, water heaters, mobile phones, water dispensers, and other small household appliances. In addition, it produces lubricating base oil, and waste plastics, as well as scrap iron, including scrap iron alloys. The company serves various range of customers comprising listed companies, group companies, and foreign-funded enterprises, etc. Hangzhou Dadi Haiyang Environmental Protection Co., Ltd. was founded in 2003 and is headquartered in Hangzhou, China.
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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.