Technology One Limited (THNOF) Fair Value & Analysis
Technology · US · Market cap $7.1B
Fair value as of: Jun 24, 2026
Analysis
Technology One Limited (THNOF) currently trades at $21.37, while our model-based Fair Value estimate is $5.80 — implying the stock looks roughly 72.9% 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
Technology One Limited engages in the development, marketing, sale, implementation, and support of integrated enterprise business software solutions in Australia and internationally. It operates through Software and Consulting segments. The company offers various business software solutions, including business analytics, app builder, corporate performance management, curriculum, DxP local government, DxP Student, DxP Essentials, enterprise asset management, enterprise budgeting, enterprise cash receipting, enterprise content management, financials, human resources and payroll, performance planning, property and rating, spatial, student management, timetabling and scheduling, and supply chain management. It serves local government, education, government, health and community services, asset and project intensive, and financial services and corporate organizations. Technology One Limited was incorporated in 1983 and is headquartered in Fortitude Valley, Australia.
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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.