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Cashway Fintech Co (603106) Fair Value & Analysis

Industrials · CN · Market cap 3.8B CNY

Price¥7.35
Fair Value¥1.78
Upside-75.8%
Quality95/100
Evidence: High Range ¥1.78 – ¥2.02

Analysis

Cashway Fintech Co (603106) currently trades at ¥7.35, while our model-based Fair Value estimate is ¥1.78 — implying the stock looks roughly 75.8% overvalued today. We read business quality at 95/100 (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

Cashway Fintech Co.,Ltd. provides financial electronic products and solutions in China and internationally. The company engages in the research and development, manufacture, marketing, operation, and monitoring of banking self-service equipment. It also offers automated teller machine, cash recycling and depositing machine, teller cash recycler, and currency exchange machine; smart and video teller machine, portable card issuer, queuing and card printing machine, and smart locker; and single and double screen, poster machine, and smart white board. In addition, the company offers currency sorter, cash disinfection cabinet, and smart table; software solutions, including branch intelligence, CIS multivendor terminal, end to end solutions, and cloud platform; OEM modules; and intelligent transportation, hospital, and retail solutions. The company was founded in 2004 and is based in Tianjin, 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.