EIT Environmental Development Group (300815) Fair Value & Analysis
Industrials · CN · Market cap 7.5B CNY
Analysis
EIT Environmental Development Group (300815) currently trades at ¥18.52, while our model-based Fair Value estimate is ¥30.04 — implying the stock looks roughly 62.2% undervalued today. We read business quality at 87/100 (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
EIT Environmental Development Group Co.,Ltd offers urban integrated operation and management services. It provides building cleaning, property management, urban greening management, domestic waste treatment equipment manufacturing, and termite prevention services; vector, forestry pest, indoor air pollution, and atmospheric environmental pollution control services; landscaping project construction; environmental protection equipment manufacturing; environmental protection equipment sales; flower planting; flower and green plant rental and management; machinery and equipment rental; and machinery and equipment sales services. The company also engages in leasing services; sale of new energy vehicles; car sales; small and micro passenger car leasing and operating services; professional cleaning, washing, and disinfection services; water pollution control; environmental sanitation public facilities installation; market management; municipal facilities management; sewage treatment and re…
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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.