illumin Holdings (ILLM) Fair Value & Analysis
Communication Services · CA · Market cap C$39.9M
Fair value as of: Jun 25, 2026
Analysis
illumin Holdings (ILLM) currently trades at C$0.7300, while our model-based Fair Value estimate is C$1.03 — implying the stock looks roughly 41.1% undervalued today. We read business quality at 95/100 (high quality), in the Communication Services 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: low) — always confirm before acting.
About the company
illumin Holdings Inc., a technology company, provides digital media solutions in Canada, the United States, Europe, Latin America, and internationally. The company offers a programmatic marketing platform that enables advertisers to connect with their audiences across video, mobile, out-of-home, social, CTV and online display advertising campaigns. Its platform also allows advertisers to manage their purchasing of online display advertising in real-time using programmatic ad buying. In addition, the company offers illumin platform, an advertising automation technology that provides planning, media buying, and omnichannel intelligence, as well as allows advertisers to map their consumer journey playbooks across screens and execute in real-time using programmatic technology. It serves Fortune 500 enterprises and small to mid-sized businesses. The company was formerly known as AcuityAds Holdings Inc. and changed its name to illumin Holdings Inc. in June 2023. illumin Holdings Inc. was …
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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.