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Jinhua Chunguang Technology Co (603657) Fair Value & Analysis

Technology · CN · Market cap 3.1B CNY

Price¥23.47
Fair Value¥12.32
Upside-47.5%
Quality95/100
Evidence: Medium Range ¥9.17 – ¥15.47

Fair value as of: Jun 24, 2026

Analysis

Jinhua Chunguang Technology Co (603657) currently trades at ¥23.47, while our model-based Fair Value estimate is ¥12.32 — implying the stock looks roughly 47.5% 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: medium).

About the company

Jinhua Chunguang Technology Co.,Ltd engages in the research and development, production, and sales of cleaning appliance hoses accessories and complete machine ODM/OEM products in China and internationally. The company offers central vacuum cleaner, hanging irons, dishwashers, steel wire/spiral, extrusion, stretch, blow mold, and wet vacuum hoses, as well as vacuum cleaner accessories. It also provides special shaped blow mold, garment steamer hose, and garden and commercial hose products. The company was founded in 1985 and is headquartered in Jinhua, China.

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Frequently asked questions

Is Jinhua Chunguang Technology Co (603657) undervalued?
As of Jun 24, 2026, our model estimates a fair value of ¥12.32 versus a price of ¥23.47 — about −48% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 603657?
Our 21-model fair value for Jinhua Chunguang Technology Co is ¥12.32 (as of Jun 24, 2026), built from audited fundamentals. The current price is ¥23.47.
What is the quality score of 603657?
Jinhua Chunguang 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.