Huafon Chemical Co (002064) Fair Value & Analysis
Basic Materials · CN · Market cap 55.0B CNY
Analysis
Huafon Chemical Co (002064) currently trades at ¥10.07, while our model-based Fair Value estimate is ¥6.36 — implying the stock looks roughly 36.8% overvalued today. We read business quality at 91/100 (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: high).
About the company
Huafon Chemical Co.,Ltd engages in the research and development, production, and sale of polyurethane product materials in China and internationally. The company offers Qianxi spandex yarn, a PU elastic fiber for use in the fields of underwear, swimming suits, socks, jeans, leisure sportswear, medical bandage, fabric ribbon, diapers, etc.; and differentiated spandex, including recycled, anti-bacterial, high elastic black, super chlorine-resistant, acid dyeable, anti-ladder, high uniformity, color, and high elastic temperature-resistant spandex, as well as spandex for warp-knitting, narrow fabric, and hygiene products. It also provides developing products, such as fragrant, degradable, thermal, biobased, hygroscopic, and eco-setting spandex. In addition, it offers adipic acid and polyurethane stock solutions. The company was formerly known as Zhejiang Huafeng Spandex Co., Ltd. and changed its name to Huafon Chemical Co.,Ltd in January 2021. Huafon Chemical Co.,Ltd was founded in 1999…
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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.