Jiangsu Jingxue Insulation Technology Co (301010) Fair Value & Analysis
Industrials · CN · Market cap 1.9B CNY
Fair value as of: Jun 24, 2026
Analysis
Jiangsu Jingxue Insulation Technology Co (301010) currently trades at ¥17.55, while our model-based Fair Value estimate is ¥3.06 — implying the stock looks roughly 82.6% 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: high).
About the company
Jiangsu Jingxue Insulation Technology Co.,Ltd. engages in the research and development, design, production, and sale of energy-saving thermal insulation materials used in cold storage and industrial building envelope systems in China. It offers cold storage insulation boards, including sandwich panels, PIR/PUR clean boards and inner partition panels, and cold storage boards; industrial and cold storage doors; and energy-saving building plates. The company's products have applications in cold storage enclosure systems in the fields of cold chain logistics, food processing, shopping malls, supermarkets, hotels and aviation catering, biopharmaceuticals, fine chemicals, precision electronics and other industries. It is also involved in the design, production, installment, and maintenance of enclosure systems in cold storage. Jiangsu Jingxue Insulation Technology Co.,Ltd. was incorporated in 1993 and is based in Changzhou, 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.