A new empirical study from FinRegLab finds that cash-flow data can help lenders underwrite small businesses more accurately, particularly when evaluating early-stage companies and financially constrained entrepreneurs that often struggle to access credit because lenders consider them to be higher risk.

 The report, titled Sharpening the Focus: Using Cash-Flow Data to Underwrite Financially Constrained Businesses, analyzes over 38,000 small business loans originated by two fintech lenders between February 2015 and January 2024. The research was conducted with Sabrina T. Howell and Siena Matsumoto of the Stern School of Business at New York University. The analysis reveals that cash-flow variables derived from electronic bank account data provide a stronger and more accurate basis for predicting loan performance than business owners' personal credit scores alone—especially for businesses that face constraints because they are relatively new and because their owners have low credit scores.

 Small business formation has surged over the past five years, including companies with a high propensity to create job growth, online influencer businesses, and a range of "side hustle" businesses. But accessing credit is often difficult for early-stage businesses because banks have increasingly adopted minimum time-in-business and revenue thresholds. Many small business lenders also rely heavily on owners' personal credit scores when underwriting smaller loans, even though about one-third of U.S. adults are estimated to have thin or no credit files and another 25 percent to have below "prime" scores.

 "Cash-flow underwriting is not just a technical innovation—it's a practical solution to long standing barriers in small business finance," said FinRegLab CEO Melissa Koide. "This research demonstrates how lenders can improve risk assessment and broaden access to capital for entrepreneurs."