GlobalSat WorldCom Corporation (3499) Fair Value & Analysis
Technology · TW · Market cap 803M TWD
Fair value as of: Jun 24, 2026
Analysis
GlobalSat WorldCom Corporation (3499) currently trades at 14.70 TWD, while our model-based Fair Value estimate is 7.04 TWD — implying the stock looks roughly 52.1% 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: medium).
About the company
GlobalSat WorldCom Corporation, together with its subsidiaries, manufactures and sells GPS receivers and module makers in America, Asia, Europe, and internationally. The company offers GPS/Bluetooth wearable sports devices; satellite trackers; drone and autopilot products; tracking devices, including animal, asset, personal, and vehicle trackers; and support products. It also provides IoT/M2M products comprising 4G LTE GPS, LoRaWAN devices, NB-loT, LoRa M.O.S.T., and Amazon Sidewalk; mmWave products; ATEX/IECEx compliance products, including LoRaWAN; lighting products consisting of NB-IoT, LoraWAN, and RS-485; and accessories, which include GPS modules, GNSS modules, GPS and GNSS receivers, GPS data loggers, and other products. In addition, the company engages in the sale and repair of satellite positioning products, and Bluetooth wireless and mobile communication products; general investment; manufacture of operating automobile information systems, navigation systems for automotive…
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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.