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Qfin (QFIN) investor relations material

Qfin Q2 2026 earnings summary

Complete event summary combining all related documents: earnings call transcript, report, and slide presentation.
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Q2 2026 earnings summary26 Aug, 2026

Executive summary

  • The consumer finance industry in China faced significant pressure in Q2 2026, with a sharp decline in household consumer loans, tightening regulatory oversight, and a late-June liquidity crisis that triggered funding contraction and risk aversion among financial institutions.

  • The company prioritized compliance, risk management, and operational efficiency, optimizing user and business mix to enhance resilience, and maintained a leading AI-empowered credit-tech platform serving 168 financial institutions and 65.6 million users as of June 30, 2026.

  • Achieved 301.8 million cumulative consumer credit needs and 39.9 million cumulative borrowers with successful drawdown, up 8.5% year-over-year.

  • Appointed Prof. Dong Lou as independent director and declared a semi-annual dividend of $0.46 per ADS for H1 2026.

Financial highlights

  • Q2 2026 net revenue was RMB3,567 million, down from RMB3,909.3 million in Q1 and RMB5,216 million year-over-year.

  • Non-GAAP net income was RMB454.9 million, down from RMB945.9 million in Q1 and RMB1,849 million a year ago; net income was RMB401.4 million.

  • Total loan facilitation and origination volume reached RMB63.4 billion, down 2.5% sequentially and from RMB84.6 billion year-over-year.

  • Cash and short-term investments totaled approximately RMB10.6 billion at quarter end.

  • Outstanding loan balance at quarter-end was RMB107.6 billion.

Outlook and guidance

  • Q3 2026 non-GAAP net income is expected between RMB400 million and RMB500 million, a year-on-year decline of 67%-73%.

  • Management will maintain a cautious approach, focusing on risk control, efficiency, and capital preservation amid ongoing market volatility and regulatory changes.

  • Loan volume is expected to decline meaningfully in Q3 due to tightened risk controls and funding constraints.

  • Continued focus on expanding user base and deepening partnerships with financial institutions, emphasizing AI-driven credit assessment and risk management.

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