Jiangxi JDL Environmental Protection Co (688057) Fair Value & Analysis
Industrials · CN · Market cap 3.6B CNY
Analysis
Jiangxi JDL Environmental Protection Co (688057) currently trades at ¥13.73, while our model-based Fair Value estimate is ¥8.25 — implying the stock looks roughly 39.9% overvalued today. We read business quality at 94/100 (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: high).
About the company
Jiangxi JDL Environmental Protection Co., Ltd. provides water environment treatment services in China. Its water pollution control equipment products comprise sewage lifting system, aeration system, membrane system, water production system, backwashing system, electrical system, shell and other standard components, and box type and tank type water pollution control equipment. The company also engages in design, material procurement, pre-processing and secondary development, on-site system integration, and commissioning, as well as provides after-sales maintenance services; environmental research and development; manufacturing, processing, and sale of environmental protection equipment; research and development, and sale of water environment function restoration technology; production, installation, and sale of environmental protection equipment; and consulting, design, construction, and operation management of energy conservation, engineering, and environmental protection projects. …
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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.