ICP Das Co (3577) Fair Value & Analysis
Technology · TW · Market cap 7.9B TWD
Fair value as of: Jun 24, 2026
Analysis
ICP Das Co (3577) currently trades at 121.00 TWD, while our model-based Fair Value estimate is 47.46 TWD — implying the stock looks roughly 60.8% 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
ICP Das Co., Ltd. provides automation and Internet of Things solutions worldwide. It offers PC boards, including DAQ, communication, motion control, and watchdog boards; programmable automation controllers; panel products, including industrial panel PC, ViewPAC, TouchPAD, InduSoft PAC, and display; and software, controller and server, IO and sensor, and BA/HA IIoT products. The company also provides PAC, PC-based and remote motion, Motionnet, EtherCAT, and CANopen solutions; RS-485 I/O, ethernet I/O, PAC I/O, fieldbus I/O, USB I/O, FRnet I/O, and wireless I/O modules; industrial communication products; wireless communication products; and power meter concentrator, power meter, and portable power monitoring suitcase products. In addition, it offers Signal Conditioning Modules; AVEVA Edge, InduSoft, IoTstar, Win-GRAF, eLogger, EZ data logger, development tools, applications, Utility/Driver, and app software products; and power supplies, antennas, cables and connectors, daughter boards…
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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.