Gogolook Co (6902) Fair Value & Analysis
Technology · TW · Market cap 4.7B TWD
Fair value as of: Jun 24, 2026
Analysis
Gogolook Co (6902) currently trades at 138.00 TWD, while our model-based Fair Value estimate is 30.31 TWD — implying the stock looks roughly 78.0% 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
Gogolook Co., Ltd. provides risk management cloud services, digital advertising, and digital matchmaking cloud services in Taiwan, East Asia, Southeast Asia, and internationally. The company provides Whoscall, a mobile application available on both apple and android platforms to protect users by blocking scams and malicious communication disturbances and covering scenarios, such as phone calls, SMS messages, URL links, and personal data leaks; Roo.Cash, a trusted Advisor for financial products and spending decisions; JUJI, a mobile application for fast and secure microloans; and ScamAdviser, a real-time protection application to digital life. It also offers Anti-Scam Intelligence, a solution to leverage scam database, and prevent fraudulent activities in real-time across websites, phone numbers, messages, and digital platforms; and AI-Driven application tracking system, a solution to transform hiring process and experience seamless recruitment with features. Gogolook Co., Ltd. was f…
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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.