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Arlandastad Group (AGROUP) Fair Value & Analysis

Real Estate · SE · Market cap 2.5B SEK

Pricekr 36.50
Fair Valuekr 33.86
Upside-7.2%
Quality95/100
Evidence: High Range kr 25.40 – kr 42.33

Fair value as of: Jun 26, 2026

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Analysis

Arlandastad Group (AGROUP) currently trades at kr 36.50, while our model-based Fair Value estimate is kr 33.86 — implying the stock looks roughly 7.2% overvalued today. We read business quality at 95/100 (high quality), in the Real Estate 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

Arlandastad Group AB (publ), together with its subsidiaries, operates as a real estate development company in Sweden. It operates through Property Improvement; Management of Real Estate; and Operational Activities segments. The company focuses on identifying strategic land areas and developing properties. It also provides property management, and training for dealers and general agents in the automotive industry. In addition, it conducts event operations; and operates an airport in Skavsta. The company was incorporated in 2005 and is headquartered in Arlandastad, Sweden.

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Frequently asked questions

Is Arlandastad Group (AGROUP) undervalued?
As of Jun 26, 2026, our model estimates a fair value of kr 33.86 versus a price of kr 36.50 — about −7% (overvalued). Model-based estimate, not financial advice.
What is the fair value of AGROUP?
Our 21-model fair value for Arlandastad Group is kr 33.86 (as of Jun 26, 2026), built from audited fundamentals. The current price is kr 36.50.
What is the quality score of AGROUP?
Arlandastad 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.