Jiangsu Zhongli Group (002309) Fair Value & Analysis
Industrials · CN · Market cap 9.9B CNY
Analysis
Jiangsu Zhongli Group (002309) currently trades at ¥3.12, while our model-based Fair Value estimate is ¥1.88 — implying the stock looks roughly 39.7% 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
Jiangsu Zhongli Group Co.,Ltd manufactures and sells cables and photovoltaic products in China and internationally. It operates through cable and photovoltaic segments. It provides power, wind, control, data, marine, mine, rail transit, photoelectric composite, electronic line of certification, automobile, board coaxial, communication, and aluminum alloy cables, as well as overhead conductors and steel core aluminum standard wires. The company also offers distribution, dielectric self-supported fiber optic, feeder, and home segment cable products, as well as outdoor central beam tubed optical fiber and optical fiber cable products; polymer materials; solar products; and optical fiber and packaging products. In addition, it provides WLAN, smart grid, shipboard cable, high-speed railway cable, rail transit, new energy cable, and automobile cable solutions, as well as FTTX optical-fiber network integrated and solar roof solutions. Further, the company operates solar power stations. It …
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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.