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Fast Ejendom Denmark (FED) Fair Value & Analysis

Real Estate · DK · Market cap 571M DKK

Pricekr 224.00
Fair Valuekr 289.89
Upside+29.4%
Quality95/100
Evidence: High Range kr 217.42 – kr 362.36

Fair value as of: Jun 26, 2026

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Analysis

Fast Ejendom Denmark (FED) currently trades at kr 224.00, while our model-based Fair Value estimate is kr 289.89 — implying the stock looks roughly 29.4% undervalued today. We read business quality at 95/100 (high quality), in the Real Estate 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

Fast Ejendom Denmark is a real estate investment firm specializing in commercial and residential properties. The firm seeks to invest in Denmark with a focus on the Copenhagen metropolitan area, Aarhus and the Triangle Area. Fast Ejendom Denmark is based in Denmark.

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Frequently asked questions

Is Fast Ejendom Denmark (FED) undervalued?
As of Jun 26, 2026, our model estimates a fair value of kr 289.89 versus a price of kr 224.00 — about +29% (undervalued). Model-based estimate, not financial advice.
What is the fair value of FED?
Our 21-model fair value for Fast Ejendom Denmark is kr 289.89 (as of Jun 26, 2026), built from audited fundamentals. The current price is kr 224.00.
What is the quality score of FED?
Fast Ejendom Denmark 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.