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Shanghai Carthane Co (603037) Fair Value & Analysis

Consumer Cyclical · CN · Market cap 3.2B CNY

Price¥11.18
Fair Value¥6.07
Upside-45.7%
Quality94/100
Evidence: High Range ¥4.46 – ¥7.59

Fair value as of: Jun 24, 2026

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Analysis

Shanghai Carthane Co (603037) currently trades at ¥11.18, while our model-based Fair Value estimate is ¥6.07 — implying the stock looks roughly 45.7% overvalued today. We read business quality at 94/100 (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: high).

About the company

Shanghai Carthane Co.,Ltd. provides shock absorption components for chassis suspension system in China. The company also offers pedal assemblies, and high-performance polyurethane load-bearing wheels. It also provides pedal, accelerator pedal, jounce bumper, top mount, callipers, spring seat, and other products. The company is also involved in exporting activities. Shanghai Carthane Co.,Ltd. was founded in 2000 and is based in Shanghai, China.

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Frequently asked questions

Is Shanghai Carthane Co (603037) undervalued?
As of Jun 24, 2026, our model estimates a fair value of ¥6.07 versus a price of ¥11.18 — about −46% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 603037?
Our 21-model fair value for Shanghai Carthane Co is ¥6.07 (as of Jun 24, 2026), built from audited fundamentals. The current price is ¥11.18.
What is the quality score of 603037?
Shanghai Carthane Co has a Quality Score of 94/100, 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.