Glarner Kantonalbank (GLKBN) Fair Value & Analysis
Financial Services · CH · Market cap CHF 317M
Fair value as of: Jun 26, 2026
Analysis
Glarner Kantonalbank (GLKBN) currently trades at CHF 23.50, while our model-based Fair Value estimate is CHF 21.02 — implying the stock looks roughly 10.6% overvalued today. We read business quality at 95/100 (high quality), in the Financial Services sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: high).
About the company
Glarner Kantonalbank engages in providing various banking products and services to private and corporate customers primarily in Switzerland. The company offers savings, deposit, investing, service, and retirement accounts; construction, personal loans, mortgages, and home finance; investment and asset management; debit and credit cards; and term and life insurance, and pension products. It also provides precautionary and retirement advice, e/QR bill, mobile payment and banking, and online banking services; and foreign currency and transaction, rent, financing, leasing, bank guarantee and rental deposit, travel, payment, and package solutions. In addition, the company offers outsourcing, portfolio construction, and online mortgage, loan advisory, and consulting services. Further, the company provides trading and treasury, financial intermediaries, and external mortgage brokers services. It operates through branches and ATMs. Glarner Kantonalbank was incorporated in 1884 and is based …
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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.