Fortune Information Systems Corp (2468) Fair Value & Analysis
Technology · TW · Market cap 2.7B TWD
Fair value as of: Jun 24, 2026
Analysis
Fortune Information Systems Corp (2468) currently trades at 36.95 TWD, while our model-based Fair Value estimate is 16.06 TWD — implying the stock looks roughly 56.5% 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
Fortune Information Systems Corp engages in buying, selling, leasing, and repairing office machines, office automation equipment, computers, and other information equipment in Taiwan. The company is involved in buying, selling, leasing, and repairing computer peripherals, microfilm equipment, devices, and parts, accessories, and supplies; system analysis and programming of computer and other information software; and provision of data processing services. It also provides hybrid cloud services, enterprise application developments, data protection and DR solutions, network management and IT security solutions, and data center management and operation services; value added services comprising outsourcing project, software model, server room and end equipment management, user help desk, document imaging, warehouse logistics, and insurance finance. In addition, the company provides enterprise public/private cloud infrastructure construction and planning, network system planning, informa…
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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.