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Yongtaiyun Chemical Logistics Co (001228) Fair Value & Analysis

Industrials · CN · Market cap 2.8B CNY

Price¥26.32
Fair Value¥21.60
Upside-17.9%
Quality91/100
Evidence: High Range ¥16.20 – ¥29.15

Fair value as of: Jun 25, 2026

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Analysis

Yongtaiyun Chemical Logistics Co (001228) currently trades at ¥26.32, while our model-based Fair Value estimate is ¥21.60 — implying the stock looks roughly 17.9% 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

Yongtaiyun Chemical Logistics Co.,Ltd provides cross-border chemical logistics supply chain services in China. It provides hazardous goods storage; dangerous goods domestic transportation and distribution; and integrated supply chain trade services. The company also offers warehousing, customs declaration and inspection, documentation services, international shipping and logistics information monitoring, and port services. The company was incorporated in 2002 and is based in Ningbo, China.

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Frequently asked questions

Is Yongtaiyun Chemical Logistics Co (001228) undervalued?
As of Jun 25, 2026, our model estimates a fair value of ¥21.60 versus a price of ¥26.32 — about −18% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 001228?
Our 21-model fair value for Yongtaiyun Chemical Logistics Co is ¥21.60 (as of Jun 25, 2026), built from audited fundamentals. The current price is ¥26.32.
What is the quality score of 001228?
Yongtaiyun Chemical Logistics 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.