Zhejiang Jinggong Integration Technology Co (002006) Fair Value & Analysis
Industrials · CN · Market cap 8.0B CNY
Analysis
Zhejiang Jinggong Integration Technology Co (002006) currently trades at ¥14.54, while our model-based Fair Value estimate is ¥6.55 — implying the stock looks roughly 55.0% 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
Zhejiang Jinggong Integration Technology Co., Ltd. researches, develops, produces, and sells special equipment for new carbon fiber materials, polyester recycling equipment, special equipment for solar photovoltaic and new building energy-saving. The company offers carbon fiber, carbon neutral, new energy, intelligent machine, intelligent spinning, and fabrication materials. It is involved in manufacturing of solar photovoltaic equipment; special equipment for textile industry; polyester recycling equipment; and precision manufacturing and processing business and project development business, as well as electrical equipment and charging station investment, construction and operation business. The company was formerly known as Zhejiang Jinggong Science & Technology Co., Ltd and changed its name to Zhejiang Jinggong Integration Technology Co., Ltd. in March 2023. Zhejiang Jinggong Integration Technology Co., Ltd. was founded in 1968 and is based in Shaoxing, 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.