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AROS Bostadsutveckling AB (BESQAB) Fair Value & Analysis

Real Estate · SE · Market cap 2.6B SEK

Pricekr 26.20
Fair Valuekr 18.45
Upside-29.6%
Quality95/100
Evidence: Low Range kr 8.28 – kr 31.88

Fair value as of: Jun 26, 2026

Analysis

AROS Bostadsutveckling AB (BESQAB) currently trades at kr 26.20, while our model-based Fair Value estimate is kr 18.45 — implying the stock looks roughly 29.6% 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: low).

About the company

AROS Bostadsutveckling AB engages in green field development of residential buildings and conversion of commercial real estate into residential premises. The company was founded in 2006 and is based in Stockholm, Sweden.

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Frequently asked questions

Is AROS Bostadsutveckling AB (BESQAB) undervalued?
As of Jun 26, 2026, our model estimates a fair value of kr 18.45 versus a price of kr 26.20 — about −30% (overvalued). Model-based estimate, not financial advice.
What is the fair value of BESQAB?
Our 21-model fair value for AROS Bostadsutveckling AB is kr 18.45 (as of Jun 26, 2026), built from audited fundamentals. The current price is kr 26.20.
What is the quality score of BESQAB?
AROS Bostadsutveckling AB 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.