Microprogram Information Co (7721) Fair Value & Analysis
Technology · TW · Market cap 4.5B TWD
Fair value as of: Jun 24, 2026
Analysis
Microprogram Information Co (7721) currently trades at 72.80 TWD, while our model-based Fair Value estimate is 14.68 TWD — implying the stock looks roughly 79.8% 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: medium).
About the company
Microprogram Information Co.,Ltd engages in the research and development of computer hardware and software in Taiwan, Mainland China, and Europe. The company offers E-bike products, including IoT devices, e-bike computer products, smart locks, device and store management systems, and cycling data platform, as well as e-bike app; E-payment card reader, NFC reader, antenna changeover, module, EM reader module, and reader of electronic ticket modules, as well as Linux ARM system on modules and development kits; and controllers, such as door access card-reading, and smart identification and access card reader controllers. It also provides Bluetooth low energy USB dongles; equipment sensing, environmental sensing, and production process tracking; and smart robot blade/fork, ultra-thin production line detector, and VRS smart vibration sensor products. In addition, the company engages in the wholesale and retail of parts; manufacturing wireless communication machinery and equipment; produc…
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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.