Cal-Comp Electronics (Thailand) Public Company (CCET) Fair Value & Analysis
Technology · TH · Market cap 96.1B THB
Analysis
Cal-Comp Electronics (Thailand) Public Company (CCET) currently trades at 8.60 THB, while our model-based Fair Value estimate is 3.74 THB — implying the stock looks roughly 56.5% 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
Cal-Comp Electronics (Thailand) Public Company Limited, together with its subsidiaries, manufactures electronic products worldwide. The company offers computer peripherals, such as mainboards, external hard disk drives, NAS and PCBA for hard disk drives, USB pen drives, storage server PCBA, , PCBA for digital camera, media players, Smart TV, smart POS machines, and assembly products, as well as ink-jet printers, laser printers, multi-function printers, dot-matrix printers, and large format printers; telecommunication products, including set-top boxes and their component parts, and Bluetooth headsets; and smart appliances that comprise smart TV, mirrors, and POS machines, as well as digital camera PCBA and media players. It also provides consumer electronics, which include facial cleaning brushes, iron brushes, cordless airbrush makeup kits, displays, electronic keyboards, hubs, rovers, and calculators; intelligent warehouse, machinery, and robotics, as well as smart factory products…
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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.