Alithya Group (ALYA) Fair Value & Analysis
Technology · CA · Market cap C$122M
Fair value as of: Jun 24, 2026
Analysis
Alithya Group (ALYA) currently trades at C$0.9700, while our model-based Fair Value estimate is C$0.7100 — implying the stock looks roughly 26.8% 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
Alithya Group Inc. provides information technology services and solutions through digital technologies in Canada, the United States, and internationally. The company offers strategic consulting, enterprise transformation, and business enablement services. It also provides advisory services for digital strategy, organization performance, cybersecurity, enterprise architecture, and change and program management. In addition, the company offers enterprise resource planning, supply chain management, enterprise performance management, customer relationship management, cloud infrastructure, custom application development, legacy systems modernization, control/software engineering, data and analytics, machine learning and artificial intelligence, human capital management, and intelligent document processing services. Further, it provides digital adoption, training, managed, change enablement, and quality engineering services. Additionally, the company offers AI-FI, an integrated artificial…
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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.