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St. Galler Kantonalbank AG (SGKN) Fair Value & Analysis

Financial Services · CH · Market cap CHF 3.8B

PriceCHF 633.00
Fair ValueCHF 493.35
Upside-22.1%
Quality95/100
Evidence: High Range CHF 370.01 – CHF 616.69

Analysis

St. Galler Kantonalbank AG (SGKN) currently trades at CHF 633.00, while our model-based Fair Value estimate is CHF 493.35 — implying the stock looks roughly 22.1% 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

St. Galler Kantonalbank AG, a cantonal bank, provides banking products and services to the local population, and small and middle-sized companies in Switzerland. It offers asset management products, including investment packages and structured products; equities, derivatives, bonds, in-house and third-party funds, and customized structured products; services, such as mortgages, Lombard loans, sureties, guarantees, etc.; and financial planning services comprising succession planning, inheritance advice, retirement planning, and wealth tax advisory services, as well as inheritance advice, payment transaction, and e-banking services. The company was formerly known as St. Gallische Kantonalbank and changed its name to St. Galler Kantonalbank AG in 2000. St. Galler Kantonalbank AG was founded in 1868 and is based in Sankt Gallen, 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.