Third-quarter fintech earnings reports indicate that payment volume trends and the integration of AI in underwriting are key drivers of financial performance.
Illustration by IMF Alpha editorial · Reviewed by IMF Alpharoom AI
Major fintech companies reported third-quarter earnings, highlighting varied performance influenced by macroeconomic conditions and strategic technological advancements. Payment processing giants Visa (NYSE: V) and Mastercard (NYSE: MA) continue to show resilience in transaction volumes, while digital payment platforms such as PayPal (NASDAQ: PYPL) and Block (NYSE: SQ) navigate evolving consumer spending habits and competitive pressures.
Visa reported a 10% increase year-over-year in processed transactions for Q3, reaching 55.4 billion. Cross-border transaction volume, a key metric for global payment networks, grew by 16% on a constant currency basis. This growth reflects continued recovery in international travel and e-commerce activity, bolstering revenue streams for the company. Mastercard similarly reported a 9% rise in switched transactions, totaling 37.1 billion, with cross-border volumes up 18%.
PayPal's Q3 results indicated a total payment volume (TPV) of $403.9 billion, an increase of 15% on a currency-neutral basis. However, active accounts saw a modest 2% rise to 433 million, suggesting a focus on monetizing existing users rather than aggressive new customer acquisition. Average revenue per user (ARPU) also increased, reaching $58.05 annually, up 10% from the prior year.
Block, the parent company of Square and Cash App, reported gross profit up 21% year-over-year to $1.96 billion. Square's gross profit grew 18% to $899 million, driven by expanding seller ecosystems. Cash App's gross profit increased 27% to $968 million, largely fueled by strong growth in transaction-based revenue and interest income from stored balances. Bitcoin revenue for Cash App was $2.03 billion, with a gross profit of $45 million.
Artificial intelligence (AI) is increasingly central to underwriting processes, impacting risk assessment and credit approval rates. Companies are leveraging AI to analyze vast datasets, identify fraud patterns, and offer more personalized financial products. While specific quantitative impacts on Q3 net interest margins or loan loss provisions due to AI integration were not universally disclosed, executives across the industry noted its growing importance in optimizing credit portfolios and enhancing operational efficiency.
Investment in AI research and development also continues to be a significant line item for many fintech firms. These investments are projected to yield more sophisticated fraud detection systems, improved customer service bots, and enhanced predictive analytics for market trends. The long-term implications for profitability and market share are expected to be substantial as AI capabilities mature and are more deeply embedded in core operations.
Overall, the fintech sector demonstrates ongoing adaptation to market dynamics. While payment volumes provide a foundational revenue stream, the strategic integration of AI in underwriting and other operational areas is emerging as a critical differentiator for sustaining growth and navigating a complex economic environment.
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