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Guangdong Ganhua Science & Industry Co (000576) Fair Value & Analysis

Industrials · CN · Market cap 3.2B CNY

Price¥6.75
Fair Value¥2.95
Upside-56.3%
Quality91/100
Evidence: High Range ¥2.21 – ¥3.69

Fair value as of: Jun 26, 2026

Analysis

Guangdong Ganhua Science & Industry Co (000576) currently trades at ¥6.75, while our model-based Fair Value estimate is ¥2.95 — implying the stock looks roughly 56.3% overvalued today. We read business quality at 91/100 (high quality), in the Industrials 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

Guangdong Ganhua Science & Industry Co.,Ltd. engages in the research, development, production, and sale of military products such as power supplies and related products and special alloy materials. The products are applied to various weapon platforms, such as airborne, shipborne, and ammunition. The company was founded in 1992 and is based in Jiangmen, China.

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Frequently asked questions

Is Guangdong Ganhua Science & Industry Co (000576) undervalued?
As of Jun 26, 2026, our model estimates a fair value of ¥2.95 versus a price of ¥6.75 — about −56% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 000576?
Our 21-model fair value for Guangdong Ganhua Science & Industry Co is ¥2.95 (as of Jun 26, 2026), built from audited fundamentals. The current price is ¥6.75.
What is the quality score of 000576?
Guangdong Ganhua Science & Industry Co has a Quality Score of 91/100, 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.