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Quick Intelligent Equipment Co (603203) Fair Value & Analysis

Industrials · CN · Market cap 18.4B CNY

Price¥65.80
Fair Value¥8.81
Upside-86.6%
Quality94/100
Evidence: High Range ¥6.60 – ¥11.01

Analysis

Quick Intelligent Equipment Co (603203) currently trades at ¥65.80, while our model-based Fair Value estimate is ¥8.81 — implying the stock looks roughly 86.6% overvalued today. We read business quality at 94/100 (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: high).

About the company

Quick Intelligent Equipment Co.,Ltd. engages in the research and development, manufacturing, and sale of precision assembly technology for electronics in China and internationally. The company offers machine vision process equipment, die-bonding and packaging equipment, intelligent manufacturing complete sets of equipment, and precision welding and assembly equipment; hot pressure soldering automated production line, automated production line for millimeter wave radar, PTC AND EUC production line; high speed die bonder, vacuum soldering system, on-line formic soldering system, silver sintering equipment, power device packaging; module, intelligent terminal, metaverse; electro-optic display; AOI; soldering tools and equipment, selective soldering, soldering locking assembly, and precision dispensing. The company was founded in 1993 and is headquartered in Changzhou, China.

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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.