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Kraft Bank ASA (KRAB) Fair Value & Analysis

Financial Services · NO · Market cap 564M NOK

Pricekr 13.50
Fair Valuekr 20.30
Upside+50.4%
Quality89/100
Evidence: Medium Range kr 15.23 – kr 25.38

Fair value as of: Jun 26, 2026

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Analysis

Kraft Bank ASA (KRAB) currently trades at kr 13.50, while our model-based Fair Value estimate is kr 20.30 — implying the stock looks roughly 50.4% undervalued today. We read business quality at 89/100 (high quality), in the Financial Services 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

Kraft Bank ASA provides refinancing of mortgages on loans and unsecured loans with and without collateral to individuals in Norway. It also offers deposit and saving products, investment, and advisory services. The company was founded in 2016 and is based in Sandnes, Norway.

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Frequently asked questions

Is Kraft Bank ASA (KRAB) undervalued?
As of Jun 26, 2026, our model estimates a fair value of kr 20.30 versus a price of kr 13.50 — about +50% (undervalued). Model-based estimate, not financial advice.
What is the fair value of KRAB?
Our 21-model fair value for Kraft Bank ASA is kr 20.30 (as of Jun 26, 2026), built from audited fundamentals. The current price is kr 13.50.
What is the quality score of KRAB?
Kraft Bank ASA has a Quality Score of 89/100, 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.