Schweizerische Nationalbank, an independent central bank, (SNBN) Fair Value & Analysis
Financial Services · CH · Market cap CHF 346M
Fair value as of: Jun 26, 2026
Analysis
Schweizerische Nationalbank, an independent central bank, (SNBN) currently trades at CHF 3,100, while our model-based Fair Value estimate is CHF 6,200 — 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
Schweizerische Nationalbank, an independent central bank, provides banking services to the Swiss Confederation. Its services include account management, payment transactions, liquidity management, custody of securities, and the issuance of money market debt register claims and Confederation bonds on behalf of and for the account of the Confederation. The company also provides digital services, such as Iconomix, a digital educational programme; data portals; live and recorded news; RSS feed, time schedule, and news alerts; and on-site services, including conferences and seminars, workspaces, and books and academic journals on monetary policy, economics, and cash and banking, as well as operates a study center. Schweizerische Nationalbank was founded in 1907 and is headquartered in Bern, Switzerland.
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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.