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Wuxi Xinan Technology Co (301170) Fair Value & Analysis

Consumer Cyclical · CN · Market cap 2.4B CNY

Price¥23.30
Fair Value¥18.72
Upside-19.7%
Quality95/100
Evidence: Medium Range ¥13.88 – ¥23.55

Fair value as of: Jun 24, 2026

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Analysis

Wuxi Xinan Technology Co (301170) currently trades at ¥23.30, while our model-based Fair Value estimate is ¥18.72 — implying the stock looks roughly 19.7% overvalued today. We read business quality at 95/100 (high quality), in the Consumer Cyclical 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

Wuxi Xinan Technology Co., Ltd. engages in the research, development, production, and sale of aluminum alloy auto parts for commercial vehicles and passenger cars in China. The company offers turbocharger compressor housing products; focuses on the new energy vehicle drive motor housing and other key components; and water-cooled pressure shells. Its products are used in terminal OEM customers. The company was founded in 1994 and is based in Wuxi, China.

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Frequently asked questions

Is Wuxi Xinan Technology Co (301170) undervalued?
As of Jun 24, 2026, our model estimates a fair value of ¥18.72 versus a price of ¥23.30 — about −20% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 301170?
Our 21-model fair value for Wuxi Xinan Technology Co is ¥18.72 (as of Jun 24, 2026), built from audited fundamentals. The current price is ¥23.30.
What is the quality score of 301170?
Wuxi Xinan 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.