Teads Holding (TEAD) Fair Value & Analysis
Communication Services · US · Market cap $111M
Fair value as of: Jun 25, 2026
Analysis
Teads Holding (TEAD) currently trades at $1.17, while our model-based Fair Value estimate is $0.8600 — implying the stock looks roughly 26.5% overvalued today. We read business quality at 95/100 (high quality), in the Communication Services 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: low).
About the company
Teads Holding Co., together with its subsidiaries, operates a technology platform that connects media owners and advertisers with engaged audiences to drive business outcomes in the United States, Europe, the Middle East, Africa, and Asia. The company operates a two-sided marketplace, forming an end-to-end advertising platform with direct media owner and advertiser relationships. It also provides advertising solutions for advertisers, including a CPC performance platform and CPM-based managed and self-service platforms, and bespoke creative studio solutions that provide data-driven creative tailored to various environments and channels. In addition, the company offers budgets spanning video, display, native, native, vertical video, and other formats, as well as technology solutions that enable media owners to deeply engage their audiences, increasing the total revenue opportunity media owners can realize. Teads Holding Co. was formerly known as Outbrain Inc. and changed its name to …
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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.