OppFi Q4 Earnings Call Highlights

Core Viewpoint - OppFi reported a record-breaking performance in 2025, with significant revenue growth and plans for new technology and product initiatives to enhance underwriting and risk management [4][3]. Financial Performance - Total revenue for Q4 2025 was $159 million, representing a 17% year-over-year increase, while full-year revenue reached $597 million, up 14% from 2024 [7][13]. - Adjusted net income for Q4 increased by 27% to $26 million, and for the full year, it rose to $140 million, compared to $83 million in 2024 [12][14]. - The company reported a net charge-off rate of 45% of revenue in Q4, up from 42% a year earlier, and net charge-offs as a percentage of receivables increased to 59% from 54% [10][5]. Underwriting and Risk Management - The auto-approval rate improved to 79% due to the implementation of Model 6, which also enabled risk-based pricing [2][6]. - OppFi plans to launch "Model 6.1" in the first half of 2026 and "Model 7.0" in Q3 2026, aimed at boosting originations and enhancing risk segmentation [1][6]. - The company is also developing a new origination and servicing platform called "Lola," expected to improve operational efficiency and customer service [16][17]. Future Guidance - For 2026, OppFi projects total revenue between $650 million and $675 million, indicating a growth of 9% to 13% over 2025, with adjusted net income expected to be between $153 million and $160 million [5][18]. - The anticipated adjusted EPS for 2026 is projected to be between $1.76 and $1.84 based on an expected diluted weighted average share count of 87 million shares [18]. Operational Efficiency - The company reduced total expenses before interest to 28% of revenue from 33% in the prior-year quarter, and interest expense decreased to 6% of total revenue from 8% [11][14]. - OppFi's average yield increased to 133%, up from 131% in 2024, reflecting improved pricing strategies [13]. Market Position and Strategy - OppFi focuses on providing digital lending solutions to near-prime consumers, leveraging proprietary data analytics and machine learning for credit risk assessment [23]. - The company aims to enhance financial inclusion for underserved populations through its technology-driven platform [24].