Transcom, Inc (5222) Fair Value & Analysis
Technology · TW · Market cap 10.3B TWD
Fair value as of: Jun 24, 2026
Analysis
Transcom, Inc (5222) currently trades at 119.00 TWD, while our model-based Fair Value estimate is 49.39 TWD — implying the stock looks roughly 58.5% 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
Transcom, Inc. operates as a microwave device and subsystem company in Taiwan. The company offers amplifiers(GaN), including amplifiers(GaN); drone/UAV, high-power SSPA modules; C-UAS/Jammer/EW; high-power SSPA modules; GaN solid-state power amplifiers(CW), and GaN solid-state power; amplifier; MIC module; subsystem; FET chip, such as super lower noise GaAs FETs (Gallium Arsenide Field Effect Transistor), and high linearity and high efficiency GaAs Power FETs; packaged FET; monolithic microwave integrated circuits (MMIC); hybrid ICs; directional couplers; power dividers; fixed attenuators and termination products; and MIC chip capacitors; as well as technical support. It offers MMIC foundry services. It serves customers in Israel, China, the United States, Germany, and other international markets. The company was founded in 1998 and is headquartered in Tainan City, Taiwan.
Open the full interactive analysis →
Similar stocks
Frequently asked questions
Is Transcom, Inc (5222) undervalued?
What is the fair value of 5222?
What is the quality score of 5222?
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.