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Hefei Jingsong Intelligent Technology Co (688251) Fair Value & Analysis

Technology · CN · Market cap 2.4B CNY

Price¥26.50
Fair Value¥6.50
Upside-75.5%
Quality95/100
Evidence: High Range ¥6.27 – ¥7.85

Fair value as of: Jun 24, 2026

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Analysis

Hefei Jingsong Intelligent Technology Co (688251) currently trades at ¥26.50, while our model-based Fair Value estimate is ¥6.50 — implying the stock looks roughly 75.5% overvalued today. We read business quality at 95/100 (high quality), in the Technology 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

Hefei Jingsong Intelligent Technology Co.,Ltd. provides smart logistics system solutions in China. It offers smart warehousing, logistic software, logistics equipment, intelligent warehouse and distribution integrated, and smart material handling solutions. The company was founded in 2007 and is headquartered in Hefei, China.

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Frequently asked questions

Is Hefei Jingsong Intelligent Technology Co (688251) undervalued?
As of Jun 24, 2026, our model estimates a fair value of ¥6.50 versus a price of ¥26.50 — about −75% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 688251?
Our 21-model fair value for Hefei Jingsong Intelligent Technology Co is ¥6.50 (as of Jun 24, 2026), built from audited fundamentals. The current price is ¥26.50.
What is the quality score of 688251?
Hefei Jingsong Intelligent Technology Co 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.