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Suzhou Jin Hong Shun Auto Parts Co (603922) Fair Value & Analysis

Consumer Cyclical · CN · Market cap 2.5B CNY

Price¥15.66
Fair Value¥3.82
Upside-75.6%
Quality95/100
Evidence: Medium Range ¥3.09 – ¥4.78

Fair value as of: Jun 24, 2026

Analysis

Suzhou Jin Hong Shun Auto Parts Co (603922) currently trades at ¥15.66, while our model-based Fair Value estimate is ¥3.82 — implying the stock looks roughly 75.6% 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

Suzhou Jin Hong Shun Auto Parts Co., Ltd., together with its subsidiaries, develops, produces, and sells automobile body and chassis stamping parts, and related molds in China and internationally. The company offers ultra-high strength body parts, body assemblies, special-shaped pipe fittings, lightweight material stamping parts, new energy battery box parts, chassis stamping parts and integrated assemblies, and brake booster housing products. It also engages in technology promotion and application services. Suzhou Jin Hong Shun Auto Parts Co., Ltd. was founded in 2003 and is headquartered in Zhangjiagang, China.

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Frequently asked questions

Is Suzhou Jin Hong Shun Auto Parts Co (603922) undervalued?
As of Jun 24, 2026, our model estimates a fair value of ¥3.82 versus a price of ¥15.66 — about −76% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 603922?
Our 21-model fair value for Suzhou Jin Hong Shun Auto Parts Co is ¥3.82 (as of Jun 24, 2026), built from audited fundamentals. The current price is ¥15.66.
What is the quality score of 603922?
Suzhou Jin Hong Shun Auto Parts 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.