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Kallebäck Property Invest AB (KAPIAB) Fair Value & Analysis

Real Estate · SE · Market cap 745M SEK

Pricekr 204.00
Fair Valuekr 179.81
Upside-11.9%
Quality95/100
Evidence: High Range kr 153.15 – kr 344.40

Fair value as of: Jun 26, 2026

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Analysis

Kallebäck Property Invest AB (KAPIAB) currently trades at kr 204.00, while our model-based Fair Value estimate is kr 179.81 — implying the stock looks roughly 11.9% 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

Kallebäck Property Invest AB (publ) operates as a real estate company primarily in Sweden. It indirectly owns, manages, and leases the Kallebäck 17:2 property in Gothenburg. The company was founded in 2013 and is headquartered in Stockholm, Sweden.

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Frequently asked questions

Is Kallebäck Property Invest AB (KAPIAB) undervalued?
As of Jun 26, 2026, our model estimates a fair value of kr 179.81 versus a price of kr 204.00 — about −12% (overvalued). Model-based estimate, not financial advice.
What is the fair value of KAPIAB?
Our 21-model fair value for Kallebäck Property Invest AB is kr 179.81 (as of Jun 26, 2026), built from audited fundamentals. The current price is kr 204.00.
What is the quality score of KAPIAB?
Kallebäck Property Invest 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.