Unictron Technologies Corporation (6792) Fair Value & Analysis
Technology · TW · Market cap 3.2B TWD
Fair value as of: Jun 24, 2026
Analysis
Unictron Technologies Corporation (6792) currently trades at 65.90 TWD, while our model-based Fair Value estimate is 45.94 TWD — implying the stock looks roughly 30.3% 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
Unictron Technologies Corporation develops, manufactures, and sells antennas, antenna modules, and piezoelectric ceramic elements in Taiwan, the United States, China, and internationally. The company offers wireless communication products such as chip, external antennas (combo and single I/O), GPS/GNSS repeaters, internal antenna modules, other embedded antennas, patch and patch array antennas, PCB/FPC antenna, trackers and receivers, ceramic patch antenna, and build-in antenna module. It also provides piezoceramic elements consisting, piezoceramic discs and rings, and rectangular piezoceramics, as well as PZT composites. In addition, the company offers ultrasonic liquid transducers, and air transducers; series of circuit protection components, such as transient voltage suppressors, electrostatic discharge protection devices, metal oxide varistors, gas discharge tubes, spark gap protectors, thyristor surge suppressors, polymer positive temperature coefficients, chip fuses, and negat…
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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.