Grand-Tek Technology Co (3684) Fair Value & Analysis
Technology · TW · Market cap 1.9B TWD
Fair value as of: Jun 24, 2026
Analysis
Grand-Tek Technology Co (3684) currently trades at 56.90 TWD, while our model-based Fair Value estimate is 69.25 TWD — implying the stock looks roughly 21.7% undervalued today. We read business quality at 95/100 (high quality), in the Technology sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: high) — always confirm before acting.
About the company
Grand-Tek Technology Co., Ltd., together with its subsidiaries, designs, manufactures, and sells high-frequency connection lines and wireless communication integration subsystems in Taiwan, the Netherlands, the United States, the United Kingdom, China, and internationally. The company offers weatherproof antennas, enclosure systems, and mounting brackets. It also provides electronic components integrated design and manufacturing services; and engages in investment activities. In addition, the company offers outdoor Wi-Fi, 4G LTE and 5G, ISM and LoRa, vehicle, GNSS and GPS, l-band satellite, s-band satellite, c-band satellite, SMD, LDS, and embedded antennas; 4G LTE and 5G RF modules; I-PEX MHF, metal FAKRA, Hirose U.FL, and n type surge connectors; LMR cable series; antenna RF switches; EMI testing services; and custom die-casting aluminum enclosures comprising alpine cactus, grand-tek launch boxes, formosa, NEMA waterproof aluminum and plastic enclosures and boxes, IP67 guaranteed …
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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.