Suzhou Novosense Microelectronics Co (688052) Fair Value & Analysis
Technology · CN · Market cap 38.2B CNY
Analysis
Suzhou Novosense Microelectronics Co (688052) currently trades at ¥291.68, while our model-based Fair Value estimate is ¥159.91 — implying the stock looks roughly 45.2% 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: low).
About the company
Suzhou Novosense Microelectronics Co., Ltd. engages in the research and development, design, and sale of analog and mixed signal ICs in China. The company offers sensor products including magnetic sensors, pressure sensors, and temperature and humidity sensors; the signal chain product line offers sensor signal conditioning chips, digital isolators, isolation interfaces, isolation power supplies, general-purpose signal chains, and microcontroller units (MCUs); and power management offerings comprise gate drivers, power supplies, LED drivers, motor drivers, audio amplifiers, and power path protection devices, supporting sectors such as new energy vehicles, photovoltaics, energy storage, and industrial automation. The company also provides customized chip design services and, through its subsidiaries, engages in chip packaging and testing, investment management, and the development and sales of magnetic switches, current/linear Hall effect devices, and magnetic coding products. In add…
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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.