ShenzhenJingQuanHua Electronics Co (002885) Fair Value & Analysis
Technology · CN · Market cap 11.7B CNY
Analysis
ShenzhenJingQuanHua Electronics Co (002885) currently trades at ¥46.87, while our model-based Fair Value estimate is ¥6.22 — implying the stock looks roughly 86.7% overvalued today. We read business quality at 94/100 (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
ShenzhenJingQuanHua Electronics Co.,Ltd. designs, manufactures, and sells electronic components, power supplies, and specialized transformers worldwide. The company provides inverters, high-frequency inductors, special reactors, three-phase transformers, metering transformers, common-mode inductors, and chip transformers; and magnetic device products, such as high-frequency transformers, inductors, filters, current transformers, potted inductors, PFC inductors, and other series. It also offers vehicle magnetic device specific products, including BOOST inductors, DCDC transformers, LC filters, LLC main transformers, PFC inductors, magnetic shielding filters, auxiliary source transformers, common mode inductors, integrated parts, filter inductors, drive transformers, copper bars EMI inductance filter, and other series, as well as chargers and power adapters. The company was founded in 1996 and is headquartered in Shenzhen, the People's Republic of China.
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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.