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Aalborg Boldspilklub A/S (AAB) Fair Value & Analysis

Consumer Cyclical · DK · Market cap 70.6M DKK

Pricekr 26.60
Fair Valuekr 49.20
Upside+85.0%
Quality95/100
Evidence: Medium Range kr 36.90 – kr 61.50

Fair value as of: Jun 24, 2026

Analysis

Aalborg Boldspilklub A/S (AAB) currently trades at kr 26.60, while our model-based Fair Value estimate is kr 49.20 — implying the stock looks roughly 85.0% undervalued today. We read business quality at 95/100 (high quality), in the Consumer Cyclical 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: medium) — always confirm before acting.

About the company

Aalborg Boldspilklub A/S engages in football sport business in Denmark. It operates a football club, as well as sells tickets and merchandise for football games. The company was founded in 1885 and is based in Aalborg, Denmark.

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Frequently asked questions

Is Aalborg Boldspilklub A/S (AAB) undervalued?
As of Jun 24, 2026, our model estimates a fair value of kr 49.20 versus a price of kr 26.60 — about +85% (undervalued). Model-based estimate, not financial advice.
What is the fair value of AAB?
Our 21-model fair value for Aalborg Boldspilklub A/S is kr 49.20 (as of Jun 24, 2026), built from audited fundamentals. The current price is kr 26.60.
What is the quality score of AAB?
Aalborg Boldspilklub A/S 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.