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Freetrailer Group (FREETR) Fair Value & Analysis

Industrials · DK · Market cap 307M DKK

Pricekr 54.50
Fair Valuekr 39.22
Upside-28.0%
Quality95/100
Evidence: High Range kr 29.41 – kr 49.02

Fair value as of: Jun 24, 2026

Analysis

Freetrailer Group (FREETR) currently trades at kr 54.50, while our model-based Fair Value estimate is kr 39.22 — implying the stock looks roughly 28.0% overvalued today. We read business quality at 95/100 (high quality), in the Industrials 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: high).

About the company

Freetrailer Group A/S, a technology company, operates a sharing-economy IT platform for the free rental of trailers and cargo bikes in Denmark, Sweden, Norway, Germany, and the Netherlands. The company was founded in 2004 and is headquartered in Copenhagen, Denmark.

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Frequently asked questions

Is Freetrailer Group (FREETR) undervalued?
As of Jun 24, 2026, our model estimates a fair value of kr 39.22 versus a price of kr 54.50 — about −28% (overvalued). Model-based estimate, not financial advice.
What is the fair value of FREETR?
Our 21-model fair value for Freetrailer Group is kr 39.22 (as of Jun 24, 2026), built from audited fundamentals. The current price is kr 54.50.
What is the quality score of FREETR?
Freetrailer Group 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.