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Xiwang Foodstuffs Co (000639) Fair Value & Analysis

Consumer Defensive · CN · Market cap 1.5B CNY

Price¥1.28
Fair Value¥2.06
Upside+60.9%
Quality91/100
Evidence: Medium Range ¥1.90 – ¥2.41

Fair value as of: Jun 25, 2026

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Analysis

Xiwang Foodstuffs Co (000639) currently trades at ¥1.28, while our model-based Fair Value estimate is ¥2.06 — implying the stock looks roughly 60.9% undervalued today. We read business quality at 91/100 (high quality), in the Consumer Defensive sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: medium) — always confirm before acting.

About the company

Xiwang Foodstuffs Co.,Ltd., together with its subsidiaries, engages in the research and development, production, and sales of edible vegetable oils, sports nutrition products, and nutritional supplements in China. Its products primarily include Xiwang corn germ oil, as well as corn oil, sunflower seed oil, olive oil, linseed oil, peanut oil, and other healthy oils. The company distributes its products through direct sales, distribution, and online platforms. The company was founded in 1987 and is based in Zouping, China.

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Frequently asked questions

Is Xiwang Foodstuffs Co (000639) undervalued?
As of Jun 25, 2026, our model estimates a fair value of ¥2.06 versus a price of ¥1.28 — about +61% (undervalued). Model-based estimate, not financial advice.
What is the fair value of 000639?
Our 21-model fair value for Xiwang Foodstuffs Co is ¥2.06 (as of Jun 25, 2026), built from audited fundamentals. The current price is ¥1.28.
What is the quality score of 000639?
Xiwang Foodstuffs 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.