Egis Technology Inc (6462) Fair Value & Analysis
Technology · TW · Market cap 10.1B TWD
Fair value as of: Jun 25, 2026
Analysis
Egis Technology Inc (6462) currently trades at 122.00 TWD, while our model-based Fair Value estimate is 17.89 TWD — implying the stock looks roughly 85.3% overvalued today. We read business quality at 80/100 (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: low).
About the company
Egis Technology Inc., together with its subsidiaries, engages in the IC design, research, development, and sales of data security protection software, and biometric identification software and hardware in the United States, Taiwan, Asia, and internationally. The company offers lens type fingerprint sensor technology; U2F solution; mobile authentication; standard cell library; memory compilers; I/O library; UCIE-A PHY and controller; UCIE-S PHY and controller; and IPTD2D-A PHY and controller; foundation IP; ONFI; DDR; MIPI; automotive IP suite; display interface; ADC; and other IPs. In addition, the company offers business promotion and technical; customer; technology development; wholesale of electronic materials, integrated circuit development and silicon intellectual property development; licensing; international trade; technology development; after-sales service and business information collection. Additionally, it develops, designs, and sells integrated circuits and solutions of…
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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.