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Fleming Properties AB (FLMNG) Fair Value & Analysis

Real Estate · SE · Market cap 353M SEK

Pricekr 5.50
Fair Valuekr 0.6900
Upside-87.5%
Quality95/100
Evidence: High Range kr 0.5200 – kr 0.6900

Fair value as of: Jun 26, 2026

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Analysis

Fleming Properties AB (FLMNG) currently trades at kr 5.50, while our model-based Fair Value estimate is kr 0.6900 — implying the stock looks roughly 87.5% 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

Fleming Properties AB (publ) owns, manages, and develops real estate properties in Finland. The company owns and manages office properties. Fleming Properties AB (publ) was incorporated in 2019 and is headquartered in Stockholm, Sweden. Fleming Properties AB (publ) operates as a subsidiary of Pareto Business Management AB.

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Frequently asked questions

Is Fleming Properties AB (FLMNG) undervalued?
As of Jun 26, 2026, our model estimates a fair value of kr 0.6900 versus a price of kr 5.50 — about −87% (overvalued). Model-based estimate, not financial advice.
What is the fair value of FLMNG?
Our 21-model fair value for Fleming Properties AB is kr 0.6900 (as of Jun 26, 2026), built from audited fundamentals. The current price is kr 5.50.
What is the quality score of FLMNG?
Fleming 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.