Fairvalue-Calculator Fairvalue-Calculator
EN DE

Sparebanken Norge, a financial services company, (SBNOR) Fair Value & Analysis

Financial Services · NO · Market cap 33.0B NOK

Pricekr 185.24
Fair Valuekr 370.48
Upside+100.0%
Quality95/100
Evidence: High Range kr 277.86 – kr 463.10

Analysis

Sparebanken Norge, a financial services company, (SBNOR) currently trades at kr 185.24, while our model-based Fair Value estimate is kr 370.48 — 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

Sparebanken Norge, a financial services company, provides banking and financing services. The company is involved in investment banking; trading in securities for professional investors; leasing and selling mortgage loans; and real estate agency business. It serves retail and commercial markets, as well as the public sector in Southern, Western, and Eastern Norway. Sparebanken Norge was founded in 1823 and is headquartered in Bergen, Norway.

Open the full interactive analysis →

Similar stocks

State Bank of India (SBID) +28% HDFC Bank Limited (HDFCBANK) +20% ICICI Bank Limited (ICICIBANK) -22% PT Bank Central Asia Tbk (BBCA) +0% KB Financial Group (105560) -4% PT Bank Rakyat Indonesia (Persero) Tbk (BBRI) +66%

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.