CGI Inc (GIB) Fair Value & Analysis
Technology · US · Market cap $12.8B
Analysis
CGI Inc (GIB) currently trades at $63.09, while our model-based Fair Value estimate is $125.68 — implying the stock looks roughly 99.2% undervalued today. We read business quality at 95/100 (high quality), in the Technology sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: high) — always confirm before acting.
About the company
CGI Inc. provides information technology and business process services in Western and Southern Europe, the United States, Canada, Scandinavia, Northwest and Central-East Europe, the United Kingdom, Australia, Germany, Finland, Poland, Baltics, and the Asia Pacific. It offers end-to-end services and solutions, including business and strategic IT consulting; systems integration, such as data integration, AI and automation integration, cloud integration, Internet of Things, enterprise application integration, application programming interface integration, and legacy system modernization; managed IT and business process; and application services comprising application management, DevSecOps, application modernization and rationalization, and quality engineering and assurance. The company also provides infrastructure services, which include legacy infrastructure modernization, cloud and hybrid infrastructure management, IT service management, FinOps-enabled cloud management, cyber resilie…
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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.