MiTAC Holdings (3706) Fair Value & Analysis
Technology · TW · Market cap 123B TWD
Fair value as of: Jun 24, 2026
Analysis
MiTAC Holdings (3706) currently trades at 86.70 TWD, while our model-based Fair Value estimate is 73.42 TWD — implying the stock looks roughly 15.3% overvalued today. We read business quality at 94/100 (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
MiTAC Holdings Corporation, together with its subsidiaries, designs, develops, manufactures, and distributes computers and ancillary equipment, and communication related products in Taiwan, Europe, the United States, and internationally. The company offers cloud computing and artificial intelligence products, such as AI Server, HPC server, storage server, cloud computing solution, and open compute project. It also provides dashcam recorder, navigation devices, smart camera, and navigation solutions; smart city solutions and connected car cloud video cameras; industrial tablet, industrial handy terminal, fleet management, and MiTAC device management services; and factory automation, intelligent transportation system, retail automation, industrial motherboard, embedded system, industrial panel PC, and ruggidized tablet. In addition, the company offers building, factory, equipment, and energy monitoring management solutions through its Comismart platform. MiTAC Holdings Corporation was…
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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.