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Beijing Sanyuan Foods Co (600429) Fair Value & Analysis

Consumer Defensive · CN · Market cap 6.6B CNY

Price¥4.29
Fair Value¥1.64
Upside-61.8%
Quality94/100
Evidence: Medium Range ¥1.64 – ¥2.23

Fair value as of: Jun 24, 2026

Analysis

Beijing Sanyuan Foods Co (600429) currently trades at ¥4.29, while our model-based Fair Value estimate is ¥1.64 — implying the stock looks roughly 61.8% overvalued today. We read business quality at 94/100 (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: medium).

About the company

Beijing Sanyuan Foods Co., Ltd. manufactures and sells dairy products in China and internationally. The company offers milk, milk powder, yogurt, cheese, ice cream, cold food and drinks, etc. It sells its products through e-commerce channels. The company was incorporated in 1997 and is based in Beijing, China.

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Frequently asked questions

Is Beijing Sanyuan Foods Co (600429) undervalued?
As of Jun 24, 2026, our model estimates a fair value of ¥1.64 versus a price of ¥4.29 — about −62% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 600429?
Our 21-model fair value for Beijing Sanyuan Foods Co is ¥1.64 (as of Jun 24, 2026), built from audited fundamentals. The current price is ¥4.29.
What is the quality score of 600429?
Beijing Sanyuan Foods Co has a Quality Score of 94/100, 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.