Shenzhen Gongjin Electronics Co (603118) Fair Value & Analysis
Technology · CN · Market cap 9.6B CNY
Analysis
Shenzhen Gongjin Electronics Co (603118) currently trades at ¥13.12, while our model-based Fair Value estimate is ¥4.33 — implying the stock looks roughly 67.0% 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 Gongjin Electronics Co., Ltd. engages in the research and development, manufacture, and sale of mobile communication equipment and application products in China and internationally. It provides automotive electronics products, such as driver assistance systems (ADAS), intelligent cockpit products, electronic exterior rearview mirror (CMS), domain controller unit, intelligent driving perception system, domain controller unit for smart driving, and automotive electronic EMS; network communication products, including FTTx, DOCSIS, xDSL, and Wi-Fi solutions; data communication network equipment, such as switches, enterprise AP, SD-WAN router devices, and servers; and mobile communications products, including 5G CPE and small cell and 5G FWA devices. It also offers AI smart home products. Further, the company provides wireless products, including Wi-Fi adapter and 802.11ac products; and EPON and GPON products. It also provides IAD, cable modem, and OTT products; and power supply…
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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.