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Fastighets AB (BALDF) Fair Value & Analysis

Real Estate · US · Market cap $6.4B

Price$5.42
Fair Value$6.89
Upside+27.1%
Quality88/100
Evidence: Medium Range $6.16 – $7.15

Fair value as of: Jun 25, 2026

Analysis

Fastighets AB (BALDF) currently trades at $5.42, while our model-based Fair Value estimate is $6.89 — implying the stock looks roughly 27.1% undervalued today. We read business quality at 88/100 (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: medium) — always confirm before acting.

About the company

Fastighets AB Balder (publ) owns, manages, and develops properties in Sweden, Denmark, Finland, Norway, Germany, and the United Kingdom. Its property portfolio comprises offices, shops, warehouses, restaurants, schools, and others, as well as hotel properties. The company was incorporated in 1995 and is headquartered in Gothenburg, Sweden.

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Frequently asked questions

Is Fastighets AB (BALDF) undervalued?
As of Jun 25, 2026, our model estimates a fair value of $6.89 versus a price of $5.42 — about +27% (undervalued). Model-based estimate, not financial advice.
What is the fair value of BALDF?
Our 21-model fair value for Fastighets AB is $6.89 (as of Jun 25, 2026), built from audited fundamentals. The current price is $5.42.
What is the quality score of BALDF?
Fastighets AB has a Quality Score of 88/100, 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.