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Tourn International AB (TOURN) Fair Value & Analysis

Communication Services · SE · Market cap 56.8M SEK

Pricekr 5.94
Fair Valuekr 4.75
Upside-20.0%
Quality95/100
Evidence: Low Range kr 3.56 – kr 5.94

Fair value as of: Jun 24, 2026

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Analysis

Tourn International AB (TOURN) currently trades at kr 5.94, while our model-based Fair Value estimate is kr 4.75 — implying the stock looks roughly 20.0% 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

Tourn International AB (publ) develops influencer marketing technology for brands and influencers worldwide. The company was formerly known as INEV Studios AB (publ) and changed its name to Tourn International AB (publ) in January 2015. The company was incorporated in 2010 and is headquartered in Stockholm, Sweden.

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Frequently asked questions

Is Tourn International AB (TOURN) undervalued?
As of Jun 24, 2026, our model estimates a fair value of kr 4.75 versus a price of kr 5.94 — about −20% (overvalued). Model-based estimate, not financial advice.
What is the fair value of TOURN?
Our 21-model fair value for Tourn International AB is kr 4.75 (as of Jun 24, 2026), built from audited fundamentals. The current price is kr 5.94.
What is the quality score of TOURN?
Tourn International AB has a Quality Score of 95/100, measuring profitability, growth and balance-sheet strength from non-valuation factors.

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.