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SpareBank 1 SMN, (SRMGF) Fair Value & Analysis

Financial Services · US · Market cap $1.7B

Price$20.81
Fair Value$39.00
Upside+87.5%
Quality95/100
Evidence: High Range $29.25 – $48.75

Analysis

SpareBank 1 SMN, (SRMGF) currently trades at $20.81, while our model-based Fair Value estimate is $39.00 — implying the stock looks roughly 87.5% 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 SMN, together with its subsidiaries, provides various banking, accounting, and real estate products and services to private individuals and companies in Norway and internationally. The company offers deposits, savings and investment products, financing and real estate brokerage services, vehicle financing and leasing services, insurance products, credit and debit cards, loans, structured products, and stock trading and international payment services. It also provides bank guarantee, such as payment, lien, rent, loan, contract, other guarantees; documentary collection; foreign currency accounts; letters of credit; forward contracts; capital market and accounting services; and mobile, online, and other banking services. The company distributes its products through physical branches and digital channels, as well as a customer service center. SpareBank 1 SMN was founded in 1823 and is headquartered in Trondheim, 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.