Jiangxi Hungpai New Material Co (605366) Fair Value & Analysis
Basic Materials · CN · Market cap 7.9B CNY
Analysis
Jiangxi Hungpai New Material Co (605366) currently trades at ¥9.82, while our model-based Fair Value estimate is ¥7.88 — implying the stock looks roughly 19.8% overvalued today. We read business quality at 83/100 (high quality), in the Basic Materials 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: low).
About the company
Jiangxi Hungpai New Material Co., Ltd. engages in the research, manufacture, and sale of silicon-based materials, such as functional silanes, nano-silicon materials, and other chemical additives in China and internationally. The company provides saline coupling agents comprising sulfur, amino, chloroalkyl, thiocyanato, acyloxy, choloro, alkyl, phenyl, epoxy, and vinyl silane coupling agents. It also offers anti-reversion agents, chlorosilane, silicate ester, fumed silica, antioxidants, anti-adhesion agents, antiozonant wax, and processing agents. In addition, the company provides thermal and sound insulation materials, including aerogel insulation blankets, coatings, and slurries, as well as nanoporous thermal insulation materials and aerogel particles. Further, it offers solid and liquid silicone rubbers. Its products are used in automobiles, rubber products, coatings and ink, glass fiber, artificial stone, photovoltaic films, construction, medicine, and medical industries, as well…
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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.