WCON Electronics Co (301328) Fair Value & Analysis
Technology · CN · Market cap 9.4B CNY
Analysis
WCON Electronics Co (301328) currently trades at ¥64.31, while our model-based Fair Value estimate is ¥14.38 — implying the stock looks roughly 77.6% overvalued today. We read business quality at 93/100 (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: medium).
About the company
WCON Electronics Co., Ltd. engages in the research and development, manufacturing, and sales of connector cable assemblies in China. It offers electronic connectors, intelligent electronic products, metal stamping and metal die-casting molds, metal stamping parts and metal die-casting products, plastic molds, plastic products, and automation equipment. The company also provides IDC and FPC, discrete wire, I/O, automotive cables, and solar photovoltaics cables. In addition, it offers Industrial Solutions, including scientific simulation analysis, professional design capabilities, and advanced test equipment for industrial control, industrial robot, smart city, industrial internet of things, and embedded vision applications; automotive solutions, comprising mould processing capability, and assembly and mould production capacity for MCU, PDU, OBC, DC/DC, battery management system, advanced driving assistance system, intelligent cockpit, and vehicle lights; and new energy solutions, suc…
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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.