ARBOR Technology Corp (3594) Fair Value & Analysis
Technology · TW · Market cap 4.3B TWD
Fair value as of: Jun 24, 2026
Analysis
ARBOR Technology Corp (3594) currently trades at 50.50 TWD, while our model-based Fair Value estimate is 9.78 TWD — implying the stock looks roughly 80.6% overvalued today. We read business quality at 84/100 (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
ARBOR Technology Corp. provides industrial IoT computing and mobility solutions in Taiwan, Mainland China, Korea, Europe, the United States, and internationally. The company offers industrial computers comprising embedded and transportation system, digital signage player, IoT devices, intelligent power system, remote I/O, and accessories; embedded computing products, including computer on modules, PC/104 and PC/104+, single board computers, slot computing, industrial motherboards, semi industrial motherboards, chassis/backplane/power supply products, and accessories; and box system products. It also provides rugged mobile computing products, such as rugged mobile devices, rugged tablet with android, and rugged tablet with windows; panel PC and HMI; and industrial display system. It offers solutions for healthcare, logistics, transportation, industrial automation, industrial safety, edge AI computing, automation controllers, HMI, and retail sectors. The company has a collaboration wi…
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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.