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Zhejiang Guanghua Technology Co (001333) Fair Value & Analysis

Basic Materials · CN · Market cap 2.7B CNY

Price¥19.90
Fair Value¥14.55
Upside-26.9%
Quality95/100
Evidence: High Range ¥11.16 – ¥19.23

Fair value as of: Jun 25, 2026

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Analysis

Zhejiang Guanghua Technology Co (001333) currently trades at ¥19.90, while our model-based Fair Value estimate is ¥14.55 — implying the stock looks roughly 26.9% 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: high).

About the company

Zhejiang Guanghua Technology Co.,Ltd. engages in the research and development of polyester resins for powder coating in China. The company provides outdoor and indoor polyester resins for epoxy cure, tgic cure, haa cure, isocyanate cure, and special applications. It offers its products under the KHUA brand name. Zhejiang Guanghua Technology Co.,Ltd. was founded in 2014 and is based in Haining, China.

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Frequently asked questions

Is Zhejiang Guanghua Technology Co (001333) undervalued?
As of Jun 25, 2026, our model estimates a fair value of ¥14.55 versus a price of ¥19.90 — about −27% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 001333?
Our 21-model fair value for Zhejiang Guanghua Technology Co is ¥14.55 (as of Jun 25, 2026), built from audited fundamentals. The current price is ¥19.90.
What is the quality score of 001333?
Zhejiang Guanghua Technology 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.