MELG (MELG) Fair Value & Analysis
Financial Services · NO · Market cap 546M NOK
Fair value as of: Jun 26, 2026
Analysis
MELG (MELG) currently trades at kr 185.00, while our model-based Fair Value estimate is kr 370.00 — 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
Melhus Sparebank, a savings bank, offers various banking products and services to businesses, agriculture customers, and private individuals in Norway. The company offers bank, Boligsparing for Ungdom, mutual fund, and retirement saving accounts. It also provides insurance services for electric scooter, boat, motorcycle, moped, jet ski, caravan, motorhome, ATV, tractor, snowmobile, trailer, and veteran cars; house and belongings, consisting of household items, travel, cottages, valuable items, drones, and home and travel insurance for young people; life and health for child, disabled, critical illness, and accident; and dogs, cats, and horses insurance services. In addition, the company provides car, mortgage, motorcycle, motorhomes, and ATVs loan products, as well as leasing services. Further, it offers credit and bank cards, payment, online and mobile banking, and other daily banking services. Melhus Sparebank was founded in 1840 and is headquartered in Melhus, Norway.
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Frequently asked questions
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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.