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Sichuan Haite High-tech Co (002023) Fair Value & Analysis

Industrials · CN · Market cap 9.0B CNY

Price¥13.28
Fair Value¥6.36
Upside-52.1%
Quality95/100
Evidence: Medium Range ¥4.49 – ¥8.24

Fair value as of: Jun 25, 2026

Analysis

Sichuan Haite High-tech Co (002023) currently trades at ¥13.28, while our model-based Fair Value estimate is ¥6.36 — implying the stock looks roughly 52.1% overvalued today. We read business quality at 95/100 (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: medium).

About the company

Sichuan Haite High-tech Co.,Ltd provides aircraft airborne equipment maintenance services in China. It is also involved in aviation technology research and development, aviation product manufacturing, aviation training, aviation material maintenance, microelectronics, gas turbine engineering, and leasing activities. Sichuan Haite High-tech Co.,Ltd was founded in 1991 is based in Chengdu, China.

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Frequently asked questions

Is Sichuan Haite High-tech Co (002023) undervalued?
As of Jun 25, 2026, our model estimates a fair value of ¥6.36 versus a price of ¥13.28 — about −52% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 002023?
Our 21-model fair value for Sichuan Haite High-tech Co is ¥6.36 (as of Jun 25, 2026), built from audited fundamentals. The current price is ¥13.28.
What is the quality score of 002023?
Sichuan Haite High-tech 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.