SpareBank 1 Nordmøre (SNOR) Fair Value & Analysis
Financial Services · NO · Market cap 1.7B NOK
Fair value as of: Jun 26, 2026
Analysis
SpareBank 1 Nordmøre (SNOR) currently trades at kr 182.98, while our model-based Fair Value estimate is kr 365.96 — 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
SpareBank 1 Nordmøre provides various banking products and services for businesses and individuals in Norway. It operates through Retail Market and Corporate Market segments. The company offers financing, leasing, payment processing, and consulting services; and accounting services, including agricultural accounting. It also provides usage, current, buffer, savings, deposit, business, currency, group, and investment accounts; fixed-rate deposits; mobile and online banking; bank and credit cards; savings products, including savings in funds, savings on account, stocks and investments, and savings for children and retirement; pension savings accounts and tax-advantaged retirement savings; mandatory occupational pensions; and cash services. In addition, the company offers mortgage loans for housing, cottages, and construction projects; car loans for new and used cars; loan transfers; proof of financing; consumer loans; refinancing of mortgages and consumer debt; vehicle loans for boats…
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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.