Clevo Co (2362) Fair Value & Analysis
Technology · TW · Market cap 27.7B TWD
Analysis
Clevo Co (2362) currently trades at 46.10 TWD, while our model-based Fair Value estimate is 41.24 TWD — implying the stock looks roughly 10.5% 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: medium).
About the company
Clevo Co., together with its subsidiaries, primarily engages in the design, manufacture, and sale of visual display units, computers, and peripheral devices in Taiwan, China, the Asia-Pacific, Europe, and the Americas. The company operates through Computer and Buynow Plaza segments. It is involved in the research, development, design, manufacture, retail, wholesale, maintenance, and after-sales service of computers, notebooks, tablets, information and communication products, computer components, computer software and hardware, and electronic digital technology products; provision of property and shopping mall management, building leasing, real estate advisory, housekeeping, parking lot, and car wash activities. The company also engages in the wholesale and retail, import and export, and aftersales service of household appliances, goods, communication equipment, electrical devices, office supplies, and complementary products; and development, technology transfer, advisory, and traini…
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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.