TradeDoubler AB (TRAD) Fair Value & Analysis
Communication Services · SE · Market cap 392M SEK
Fair value as of: Jun 24, 2026
Analysis
TradeDoubler AB (TRAD) currently trades at kr 6.28, while our model-based Fair Value estimate is kr 11.63 — implying the stock looks roughly 85.2% 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: high) — always confirm before acting.
About the company
TradeDoubler AB (publ), together with its subsidiaries, provides performance marketing and technology solutions for publishers and advertisers in Europe. The company offers affiliate marketing network solutions; white-label partner management platform to manage and run affiliate networks; campaign management solutions; and business intelligence solutions. It also provides influencer marketing; mobile marketing to engage customers via mobile devices; app marketing; lead generation campaigns; partner marketing; and e-mail marketing solutions. In addition, the company offers C2C display advertising that promotes products and services to customers through e-commerce marketplaces and social media; CTV marketing that targets audiences via internet-connected TVs, smart TVs, and streaming services; and Metapic, an influencer network platform. It serves ecommerce companies, brands, agencies, and digital platforms. The company also operates in Germany, Switzerland, France, the Netherlands, Sw…
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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.