Compal Electronics, Inc (2324) Fair Value & Analysis
Technology · TW · Market cap 178B TWD
Analysis
Compal Electronics, Inc (2324) currently trades at 37.90 TWD, while our model-based Fair Value estimate is 30.09 TWD — implying the stock looks roughly 20.6% overvalued today. We read business quality at 90/100 (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
Compal Electronics, Inc. manufactures and sells notebook personal computers, monitors, LCD TVs, mobile phones, and other components and peripherals in Taiwan, the United States, China, the United Kingdom, Japan, India, Germany, Netherlands, and internationally. It operates through Information Technology Product and Strategy Integrated Product segments. It researches, develops, manufactures, and sells wireless network, mobile office, automotive and household electronic products, electronic components, electric appliance, audiovisual electric, lighting, communication devices, electronic computers, smart watches, auto parts and accessories, digital products, cable modems, digital set up boxes, other communication products, touch panels, and AP products. It is also involved in international trading; manufacture, wholesale, and retail of medical equipment; technical support and sale of wireless network products; real estate development, management, and leasing business; construction and …
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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.