Debt Settlement Causes Greater Credit Score Declines Than Bankruptcy, TransUnion Finds

The Hidden Costs of Debt Settlement Versus Bankruptcy

The recent TransUnion study found that consumers who entered debt settlement while current on their credit obligations experienced a median credit score drop of 96 points six months post-enrollment, plunging from 645 down to 549. By comparison, bankruptcy filers over the same timeframe experienced a median credit score decline of 20 points.

Jason Laky, executive vice president and head of financial services at TransUnion, noted the severity of these diverging outcomes. “Consumers often view debt settlement as a less disruptive alternative to bankruptcy, but our research found outcomes can vary significantly based on a consumer’s circumstances,” Laky stated regarding the findings.

Lending Blind Spots and Near-Prime Exposure

The data reveals that three months prior to enrollment, debt settlement participants appeared slightly less risky compared to bankruptcy filers. Enrollees held a median VantageScore 4.0 credit score of 587, whereas eventual bankruptcy filers registered at 570. Near-prime consumers also represented a larger share of debt settlement enrollees.

Because more than half of all debt settlement enrollees were current at the time they entered a program, relying solely on delinquency-based monitoring has limitations. Financial institutions can better identify debt settlement enrollment risk by monitoring rising balances, higher utilization, growth in unsecured personal loans, and changes in trade activity.

Advanced Predictive Attributes for Risk Mitigation

To capture enrollment risk before conventional metrics trigger alerts, credit grantors can apply indicators to portfolio reviews, account management, prescreening and credit line increase strategies. Michele Raneri, vice president and head of U.S. research and consulting at TransUnion, emphasized the necessity of incorporating trended data into portfolio reviews.

“Combining bankruptcy-related risk signals with credit trends like rising utilization, growing balances and increased unsecured borrowing helps lenders identify potential debt settlement enrollment earlier,” Raneri explained. Integrating TruVision attributes enabled the model to capture an additional 25 percent of debt settlement enrollees within the highest-risk 10 percent of consumers.

As credit markets adjust to these empirical realities, financial institutions can use these findings to make more precise credit decisions and stronger portfolio management before risk appears through delinquency or other performance decline.