Sogn Sparebank (SOGN) Fair Value & Analysis
Financial Services · NO · Market cap 209M NOK
Fair value as of: Jun 26, 2026
Analysis
Sogn Sparebank (SOGN) currently trades at kr 319.05, while our model-based Fair Value estimate is kr 638.10 — implying the stock looks roughly 100.0% undervalued today. We read business quality at 95/100 (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: high) — always confirm before acting.
About the company
Sogn Sparebank provides various banking products and services in Norway. The bank primarily serves small and medium-sized enterprises in Sogn and offers retail banking services nationwide, focusing on growth areas and larger cities, with Sogn as its priority market. Its offerings include deposit accounts, lending products, insurance solutions, and securities trading, delivered through both digital platforms and physical branches. The company offers savings and pensions, housing loans, housing loans for young people, fixed-rate loans, proof of financing, moving mortgages, credit lines, refinance the housing loan, cabin loans, refinancing, car loans, loans for motorcycles, campers and atvs, consumer loans, car insurance, travel insurance, home insurance, home contents insurance, child insurance, e-scooter insurance, dog insurance. The company was incorporated in 1846 and is headquartered in Årdalstangen, Norway.
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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.