Leadtek Research Inc (2465) Fair Value & Analysis
Technology · TW · Market cap 7.2B TWD
Fair value as of: Jun 24, 2026
Analysis
Leadtek Research Inc (2465) currently trades at 78.50 TWD, while our model-based Fair Value estimate is 12.07 TWD — implying the stock looks roughly 84.6% 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
Leadtek Research Inc. engages in design, manufacturing, and trading of communication devices, computers, communications, telecommunications, and peripheral equipment in the United States, Hong Kong, South Korea, Taiwan, Mainland China, and internationally. It operates through two segments: Computer Product Department and Smart Healthcare Department. The company provides virtual desktop systems, including zero and thin client series products, management consoles, and remote workstation cards; graphics cards; professional graphics; AI and high performance computing; AI inference devices; GPU docker management systems and RTX AI software packs; and workstations and servers. It also offers health watches, wearable ECG recorders, fingertip and wearable pulse oximeters, stethoscope recording devices, portable ECG Recorders, biomolecular scanners, ring, deep relief patches, and facial repairing essence; and amor H3 Plus Patch, a non-invasive ECG and audio signal recorder. In addition, the …
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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.