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Walliser Kantonalbank (WKBN) Fair Value & Analysis

Financial Services · CH · Market cap CHF 2.5B

PriceCHF 157.00
Fair ValueCHF 71.02
Upside-54.8%
Quality95/100
Evidence: High Range CHF 53.27 – CHF 88.78

Analysis

Walliser Kantonalbank (WKBN) currently trades at CHF 157.00, while our model-based Fair Value estimate is CHF 71.02 — implying the stock looks roughly 54.8% 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

Walliser Kantonalbank provides various banking products and services for individuals and companies in Switzerland. It offers saving account and savings plus accounts; investment, senior, youth, and gift savings accounts; Euro, start, private, and club accounts; personal loans; energy transition mortgages; and training, eco home, construction, lombard, investment, and renovation loans. The company also provides debit and credit cards; wealth management and payment services; investment products, such as investment funds, step invest, step life, certificates, cash bonds, and investment calculator; investment services comprising management and consulting mandates; pension and insurance products; occupational pensions; and e-banking, eBill, e-trade, QR-invoice, and mobile banking and payment services. Walliser Kantonalbank was founded in 1917 and is headquartered in Sion, Switzerland.

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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.