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Nordic Financials ASA (NOFIN) Fair Value & Analysis

Utilities · NO · Market cap 33.5M NOK

Pricekr 1.80
Fair Valuekr 0.8200
Upside-54.4%
Quality95/100
Evidence: Low Range kr 0.5400 – kr 1.03

Fair value as of: Jun 26, 2026

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Analysis

Nordic Financials ASA (NOFIN) currently trades at kr 1.80, while our model-based Fair Value estimate is kr 0.8200 — implying the stock looks roughly 54.4% overvalued today. We read business quality at 95/100 (high quality), in the Utilities 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: low).

About the company

Nordic Financials ASA does not have significant operations. Previously, it was engaged in the solar power and renewable energy businesses. The company was formerly known as Aega ASA. Nordic Financials ASA was incorporated in 2011 and is headquartered in Oslo, Norway.

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Frequently asked questions

Is Nordic Financials ASA (NOFIN) undervalued?
As of Jun 26, 2026, our model estimates a fair value of kr 0.8200 versus a price of kr 1.80 — about −54% (overvalued). Model-based estimate, not financial advice.
What is the fair value of NOFIN?
Our 21-model fair value for Nordic Financials ASA is kr 0.8200 (as of Jun 26, 2026), built from audited fundamentals. The current price is kr 1.80.
What is the quality score of NOFIN?
Nordic Financials ASA 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.