Calian Group (CLNFF) Fair Value & Analysis
Industrials · US · Market cap $671M
Fair value as of: Jun 24, 2026
Analysis
Calian Group (CLNFF) currently trades at $56.75, while our model-based Fair Value estimate is $26.39 — implying the stock looks roughly 53.5% overvalued today. We read business quality at 95/100 (high quality), in the Industrials 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
Calian Group Ltd. provides business services and solutions in Canada and internationally. It operates through four segments: Advanced Technologies, Health, Learning, and IT and Cyber Solutions. The company offers communication and connectivity products, such as antennas, RF solutions, software solutions, GNSS, satellite flight operations, and carrier and spectrum monitoring; and cybersecurity solutions, including risk assessment and compliance, penetration testing, IT infrastructure protection, penetration testing, cybersecurity training and awareness, RF emissions security, cyberattack simulations, incident response services, and cloud security services. It also provides enterprise IT solutions comprising managed IT services, 24/7 help desk outsourcing, managed XDR security, hardware asset management, and NOC services; healthcare, pharmaceutical solutions, and digital health solutions; and corporate training, immersive and blended learning, and instructor-led learning solutions. In…
Open the full interactive analysis →
Similar stocks
Frequently asked questions
Is Calian Group (CLNFF) undervalued?
What is the fair value of CLNFF?
What is the quality score of CLNFF?
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.