Perion Network Ltd (PERI) Fair Value & Analysis
Communication Services · US · Market cap $351M
Fair value as of: Jun 24, 2026
Analysis
Perion Network Ltd (PERI) currently trades at $8.73, while our model-based Fair Value estimate is $13.86 — implying the stock looks roughly 58.8% 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: medium) — always confirm before acting.
About the company
Perion Network Ltd. provides digital advertising solutions to brands, agencies, and retailers in the United States and internationally. It offers Perion One, a platform that offers seamless, streamlined experience for supply and demand side customers; Outmax AI Agent, an production-grade AI execution agent; Buying Technologies, designed to assist advertisers with campaign planning, design, activation, and optimization by providing data-driven recommendations and automations; Creative Platform, a technology platform enables the automation of high impact ad unit production across all formats; Supply Technology & SODA, Supply Management set of technologies designed to facilitate relationships with publishers by treating impressions in an optimal manner; Supply Optimization & Demand Amplification, an AI solution that helps publishers improve the monetization of inventory; Search Advertising Technology, a publisher management system that provides publishers access to online dashboard; an…
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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.