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DonkeyRepublic Holding (DONKEY) Fair Value & Analysis

Industrials · DK · Market cap 318M DKK

Pricekr 7.85
Fair Valuekr 4.50
Upside-42.7%
Quality95/100
Evidence: Low Range kr 3.11 – kr 5.89

Fair value as of: Jun 24, 2026

Analysis

DonkeyRepublic Holding (DONKEY) currently trades at kr 7.85, while our model-based Fair Value estimate is kr 4.50 — implying the stock looks roughly 42.7% 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: low).

About the company

DonkeyRepublic Holding A/S provides bike sharing solutions in Europe. The company develops a platform which enables the bike rental services. It offers pedal bikes and electric bikes. DonkeyRepublic Holding A/S was founded in 2014 and is headquartered in Copenhagen, Denmark.

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Frequently asked questions

Is DonkeyRepublic Holding (DONKEY) undervalued?
As of Jun 24, 2026, our model estimates a fair value of kr 4.50 versus a price of kr 7.85 — about −43% (overvalued). Model-based estimate, not financial advice.
What is the fair value of DONKEY?
Our 21-model fair value for DonkeyRepublic Holding is kr 4.50 (as of Jun 24, 2026), built from audited fundamentals. The current price is kr 7.85.
What is the quality score of DONKEY?
DonkeyRepublic Holding 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.