Shanghai Fullhan Microelectronics Co (300613) Fair Value & Analysis
Technology · CN · Market cap 15.3B CNY
Analysis
Shanghai Fullhan Microelectronics Co (300613) currently trades at ¥68.62, while our model-based Fair Value estimate is ¥12.45 — implying the stock looks roughly 81.9% overvalued today. We read business quality at 88/100 (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
Shanghai Fullhan Microelectronics Co., Ltd., together with its subsidiaries, engages in the development and design of integrated circuit chips, electronic products, and communication equipment in China and internationally. The company provides various chips comprising HD analog image signal processors (ISP), IP camera system on chips (SoC), HD analog Rx, digital video recorder (DVR) SoC, network video recorder SoC, smart display SoC, automotive camera ISP, automotive HD analog Rx, and automotive DVR SoC. It also offers professional technology services, such as technology development and IC design; and technology transfer and technical consulting services. In addition, the company is involved in the development, design, and manufacturing of computer system software; sales of self-produced products; and import, export, and wholesale of integrated circuits, electronic products, communication equipment, computers, and accessories and consumables. Fullhan Microelectronics Co., Ltd. was f…
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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.