Zhejiang Wansheng Co (603010) Fair Value & Analysis
Basic Materials · CN · Market cap 7.7B CNY
Analysis
Zhejiang Wansheng Co (603010) currently trades at ¥13.81, while our model-based Fair Value estimate is ¥13.48 — implying the stock looks roughly 2.4% overvalued today. We read business quality at 84/100 (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: medium).
About the company
Zhejiang Wansheng Co., Ltd. produces and sells organic phosphorus based flame retardants, special amines, and cardanol based curing agents and diluents in China. The company offers coating BU products, such as solvent-free, solvent-based, and light color Phenalkamine curing agents, as well as active and non-active epoxy diluents; amine BU products, comprising special amines, Pyrrolidones, fatty tertiary amines, and aliphatic amines and amides; and catalyst BU products. It also provides flame retardant BU products, including phosphate and non-halogen flame retardant, and flame retardant plasticizer; and personal and home care products. Its products are used in PU, electronic chemicals, household chemicals, pharmaceuticals, and agrochemicals sectors. The company was formerly known as Zhejiang Wansheng Chemicals Co Ltd' and changed its name to Zhejiang Wansheng Co Ltd in 2010. Zhejiang Wansheng Co., Ltd. was founded in 1995 and is headquartered in Linhai, 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.