Suzhou Huazhijie Telecom Co (603400) Fair Value & Analysis
Technology · CN · Market cap 5.9B CNY
Analysis
Suzhou Huazhijie Telecom Co (603400) currently trades at ¥58.41, while our model-based Fair Value estimate is ¥27.87 — implying the stock looks roughly 52.3% 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
Suzhou Huazhijie Telecom Co., Ltd. engages in the research, development, production, and sale of power tool parts and consumer electronics parts in China and internationally. The company offers electronic modules/chargers, including brushless and brushed motor control modules, battery packs, and laser level control modules; brush and brushless integrated, AC speed, DC speed control, and ON/OFF switches; and brushless and car motors. It also provides precision mechanisms, such as AC connectors, battery clips, carbon brush holders, DC connectors, and tact switches; and automotive structural parts, electronic control modules, car interior parts, and charging guns. In addition, the company offers technical services comprising business consulting, technical support, production delivery, logistics and transportation, and after-sales services. Its products and components are used in household appliances, electric tools, garden tools, switches, personal care products, industrial controls, a…
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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.