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Prisma Properties AB (PRISMA) Fair Value & Analysis

Real Estate · SE · Market cap 4.0B SEK

Pricekr 23.80
Fair Valuekr 21.31
Upside-10.5%
Quality95/100
Evidence: High Range kr 15.98 – kr 26.64

Fair value as of: Jun 26, 2026

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Analysis

Prisma Properties AB (PRISMA) currently trades at kr 23.80, while our model-based Fair Value estimate is kr 21.31 — implying the stock looks roughly 10.5% 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

Prisma Properties AB (publ) owns, develops, and leases properties in Sweden, Denmark, Finland, and Norway. It owns and develops properties in discount retail, food and grocery retail, and quick service restaurant sectors. The company was founded in 2016 and is based in Stockholm, Sweden.

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Frequently asked questions

Is Prisma Properties AB (PRISMA) undervalued?
As of Jun 26, 2026, our model estimates a fair value of kr 21.31 versus a price of kr 23.80 — about −10% (overvalued). Model-based estimate, not financial advice.
What is the fair value of PRISMA?
Our 21-model fair value for Prisma Properties AB is kr 21.31 (as of Jun 26, 2026), built from audited fundamentals. The current price is kr 23.80.
What is the quality score of PRISMA?
Prisma Properties 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.