Cembra Money Bank AG (CMBNF) Fair Value & Analysis
Financial Services · US · Market cap $3.7B
Fair value as of: Jun 25, 2026
Analysis
Cembra Money Bank AG (CMBNF) currently trades at $126.00, while our model-based Fair Value estimate is $98.50 — implying the stock looks roughly 21.8% 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
Cembra Money Bank AG provides consumer finance products and services in Switzerland. The company offers savings and deposit products; cash and personal loans, and auto loans and leasing products; credit card and invoice financing receivables; leasing services for new and used vehicles, including cars, light commercial vehicles, motorcycles, and caravans, as well as corporate leasing services; and investment securities comprising debt securities. It also provides financial protection products for involuntary unemployment, accident, illness, or disability; travel, cyber, and card protection insurance products; car insurance products; investment products; and credit cards, mobile payment, and online banking services. The company serves private and self-employed individuals, and small enterprises. It operates through a network of branches and online distribution channels; and credit card partners, independent intermediaries, and car dealers. The company was formerly known as GE Money Ba…
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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.