Wuxi NCE Power Co (605111) Fair Value & Analysis
Technology · CN · Market cap 27.2B CNY
Analysis
Wuxi NCE Power Co (605111) currently trades at ¥74.57, while our model-based Fair Value estimate is ¥18.96 — implying the stock looks roughly 74.6% overvalued today. We read business quality at 92/100 (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
Wuxi NCE Power Co.,Ltd., together with its subsidiaries, engages in the research, design, development, and sale of semiconductor chips and power devices in China and internationally. It offers shielded gate, super junction, and trench metal-oxide semiconductor field-effect transistors (MOSFET), as well as silicon carbide (SiC) MOSFET; insulated gate bipolar transistors (IGBT); intelligent power modules (IPM); and power integrated modules (PIM). The company also provides automotive-grade power devices; power modules; gallium nitride (GaN) HEMT, gate driver and power management integrated circuits, microcontroller units (MCU), and other products; and support services. In addition, it offers power electronic components and software; integrated and electronic circuits; and technology transfer and technical services. Further, the company engages in investment activities. It's products are used in industry, home appliances, consumer electronics, new energy vehicles and charging piles, int…
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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.