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Shenzhen Neoway Technology Co (688159) Fair Value & Analysis

Technology · CN · Market cap 4.3B CNY

Price¥48.60
Fair Value¥16.97
Upside-65.1%
Quality95/100
Evidence: High Range ¥11.34 – ¥22.60

Analysis

Shenzhen Neoway Technology Co (688159) currently trades at ¥48.60, while our model-based Fair Value estimate is ¥16.97 — implying the stock looks roughly 65.1% 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: high).

About the company

Shenzhen Neoway Technology Co.,Ltd. engages in the research and development, production, and sale of IoT wireless communication modules, IoT wireless communication terminals, IoT wireless communication solutions and cloud products in China. It offers G/3G/4G/5G/NB-IoT/eMTC cellular modules for use in smart energy, IoV, smart manufacturing, commercial retail, smart city, and other industries; Fleet Management, Wi-Fi Hotspot, Usage-based Insurance, and Vehicle Finance wireless device solutions. The company also provides wireless communication terminals, such as 4G smart OBD, emergency lights and other terminals, and urban IoT perception terminals, as well as abnormality monitors, environmental monitors, general collectors, and IoT gateways; Neopipe cloud application software platform; and Neoaccess Cloud, an access service platform. Shenzhen Neoway Technology Co.,Ltd. was founded in 2006 and is headquartered in Shenzhen, 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.