ChipMOS TECHNOLOGIES INC. (8150) Fair Value & Analysis
Technology · TW · Market cap 67.5B TWD
Analysis
ChipMOS TECHNOLOGIES INC. (8150) currently trades at 103.00 TWD, while our model-based Fair Value estimate is 14.24 TWD — implying the stock looks roughly 86.2% 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
ChipMOS TECHNOLOGIES INC. engages in the research and development, manufacture, and sale of integrated circuits, and related assembly and testing services in Taiwan, Japan, the People's Republic of China, and internationally. It operates through five segments: Testing; Assembly; Display Panel Driver Semiconductor Assembly and Testing; Bumping; and Others. The company offers leadframe-based packages, such as the small outline package, thin small outline package, and quad flat package; and substrate-based packages, including FBGA, VFBGA, stacked chip-scale package, TFBGA, LGA, COG, and COF; and testing solutions comprising professional wafer and final testing, tester/tooling correlation, test program verification, engineering lot and pilot lot run arrangement, engineering support, device failure mode analysis, and automation system for simple digital logic, complex ASIC, high speed digital, memory, and mixed signal and display driver IC devices. It also provides bumping services; inte…
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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.