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Zhejiang Wanfeng Chemical Co (603172) Fair Value & Analysis

Basic Materials · CN · Market cap 2.6B CNY

Price¥18.45
Fair Value¥6.43
Upside-65.1%
Quality95/100
Evidence: Medium Range ¥6.15 – ¥6.86

Fair value as of: Jun 24, 2026

Analysis

Zhejiang Wanfeng Chemical Co (603172) currently trades at ¥18.45, while our model-based Fair Value estimate is ¥6.43 — implying the stock looks roughly 65.1% overvalued today. We read business quality at 95/100 (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 Wanfeng Chemical Co.,Ltd. engages in the research, development, production, and sale of disperse dyes and filter cakes in China and internationally. Zhejiang Wanfeng Chemical Co.,Ltd. was founded in 2003 and is based in Shaoxing, China.

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Frequently asked questions

Is Zhejiang Wanfeng Chemical Co (603172) undervalued?
As of Jun 24, 2026, our model estimates a fair value of ¥6.43 versus a price of ¥18.45 — about −65% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 603172?
Our 21-model fair value for Zhejiang Wanfeng Chemical Co is ¥6.43 (as of Jun 24, 2026), built from audited fundamentals. The current price is ¥18.45.
What is the quality score of 603172?
Zhejiang Wanfeng Chemical Co has a Quality Score of 95/100, measuring profitability, growth and balance-sheet strength from non-valuation factors.

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.