Southchip Semiconductor Technology(Shanghai) Co (688484) Fair Value & Analysis
Technology · CN · Market cap 18.5B CNY
Analysis
Southchip Semiconductor Technology(Shanghai) Co (688484) currently trades at ¥52.99, while our model-based Fair Value estimate is ¥11.51 — implying the stock looks roughly 78.3% 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
Southchip Semiconductor Technology(Shanghai) Co., Ltd., together with its subsidiaries, engages in the research, design, development, and sale of analog and embedded chips in China and internationally. The company offers automotive power ICs comprising buck-boost/boost, buck, LDOs, and PMIC/SBC; automotive driver ICs consisting of high side and motor drivers, eFuses, and interfaces; automotive charging ICs, including USB charging interfaces and all in one, and wireless power stages; general dc-dc products, such as buck-boost DC-DC, buck DC-DC, and boost DC-DC; load switches; and industrial high voltage chargers. It also provides PFC controllers; flyback converters comprising USB-PD SSR flyback controllers and SR with integrated GaN; synchronous rectifier controllers; PD/DPDM controllers; AMOLED PMIC and LPDDR; switching chargers, such as buck-boost, buck, and boost chargers; charge pump and linear chargers; wireless chargers, including wireless transmitters and receivers; battery pr…
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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.