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Guangdong Yuehai Feeds Group (001313) Fair Value & Analysis

Consumer Defensive · CN · Market cap 5.2B CNY

Price¥7.56
Fair Value¥4.03
Upside-46.7%
Quality95/100
Evidence: High Range ¥3.07 – ¥4.99

Fair value as of: Jun 25, 2026

Analysis

Guangdong Yuehai Feeds Group (001313) currently trades at ¥7.56, while our model-based Fair Value estimate is ¥4.03 — implying the stock looks roughly 46.7% overvalued today. We read business quality at 95/100 (high quality), in the Consumer Defensive 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 Yuehai Feeds Group Co.,Ltd., together with its subsidiaries, engages in the research and development, production, and sale of aquatic feeds in China and internationally. It offers golden pompano and biotechnology products. The company was founded in 1994 and is based in Zhanjiang, China.

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Frequently asked questions

Is Guangdong Yuehai Feeds Group (001313) undervalued?
As of Jun 25, 2026, our model estimates a fair value of ¥4.03 versus a price of ¥7.56 — about −47% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 001313?
Our 21-model fair value for Guangdong Yuehai Feeds Group is ¥4.03 (as of Jun 25, 2026), built from audited fundamentals. The current price is ¥7.56.
What is the quality score of 001313?
Guangdong Yuehai Feeds Group 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.