CAB Payments Holdings (CABPF) Fair Value & Analysis
Financial Services · US · Market cap $259M
Fair value as of: Jun 26, 2026
Analysis
CAB Payments Holdings (CABPF) currently trades at $1.02, while our model-based Fair Value estimate is $0.9200 — implying the stock looks roughly 9.8% 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: medium).
About the company
CAB Payments Holdings Limited, through its subsidiaries, provides business-to-business cross-border payments and foreign exchange (FX) services in the Americas, the United Kingdom, the rest of Europe, Africa, the Middle East, and Asia. The company offers wholesale FX and payment services; banking services, including transaction and deposit accounts, as well as trade finance solutions; and FX derivatives. It serves banking institutions comprising emerging market financial institutions (EMFI), central banks, and major market banks; fintechs consisting of high street and online remittance companies, payroll providers, and pension administrators; corporates, such as airlines, logistics, infrastructure, and telecom companies; and international development organizations (IDOs), including multilateral, government, and non-government organizations. The company was formerly known as CABIM Limited and changed its name to CAB Payments Holdings Limited in March 2023. CAB Payments Holdings Limit…
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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.