Intumit, Inc (7547) Fair Value & Analysis
Technology · TW · Market cap 2.0B TWD
Fair value as of: Jun 24, 2026
Analysis
Intumit, Inc (7547) currently trades at 59.30 TWD, while our model-based Fair Value estimate is 56.21 TWD — implying the stock looks roughly 5.2% 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
Intumit, Inc. provides artificial intelligence copilot solutions and services. The company's products include SmartRobot, a conversational AI platform that provides conversational AI services across websites, social media, such as FB Messenger, LINE, WeChat, WhatsApp, and Teams, as well as apps and smart speakers; and SmartBC which provides solutions for membership management, marketing interactive games, customer journey, CRM systems, and LINE official account operations to help businesses/platforms achieve a one-stop comprehensive marketing service system using MarTech. It also offers STT voice recognition platform; SMartKMS, a knowledge management system that serves as the ally for enterprises in gathering internal and external knowledge; and SmartWork platform which streamlines internal workflows, manage leave requests, book meeting rooms, and link to the company's knowledge base, FAQs, and manuals. In addition, the company provides GenAI Admin Portal that leverages Azure OpenAI…
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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.