OneMain Holdings Inc

We consider the following policies to be our most critical accounting policies because they involve critical accounting estimates and a significant degree of management judgment:

ALLOWANCE FOR FINANCE RECEIVABLE LOSSES - CONSUMER LOANS

We estimate the expected credit losses on our finance receivables over their expected lives based on historical experience, current conditions, and reasonable and supportable forecasts of collectability. No new volume is assumed. Loan renewals are a significant piece of our new volume and are considered a terminal event of the previous loan. For our consumer loans, we have elected not to measure an allowance on accrued finance charges as it is our policy to reverse finance charges previously accrued after four contractual payments become past due.

Our estimate of the allowance for finance receivable losses is primarily based on historical loss experience using a cumulative loss model applied to our consumer loan portfolios. Our gross credit loss expectation is offset by the estimate of future recoveries using historical recovery curves. Our consumer loans are primarily segmented in the loss model by contractual delinquency status. Other attributes in the model include loan modification status, collateral mix, and recent credit score. To estimate the gross credit losses, the model utilizes a roll rate matrix to project the first 12 months of losses and historical cohort performance to project the expected losses over the remaining term. Our methodology relies on historical loss experience to forecast the corresponding future outcomes. These patterns are then applied to the current portfolio to obtain an estimate of future losses.

Management exercises its judgment when determining the amount of allowance for finance receivable losses. Our judgment is based on quantitative analyses, qualitative factors, such as recent portfolio, industry, and other economic trends, and experience in the consumer finance industry. We may adjust the amounts determined by our model for management’s estimate of the effects of model imprecision, which include but are not limited to, any changes to underwriting criteria and portfolio seasoning.

Forecasting macroeconomic conditions requires significant judgment and involves estimation uncertainty. We consider key economic factors, most notably unemployment rates, to incorporate into our estimate of the allowance for finance receivable losses. Our macroeconomic forecast considers various scenarios of economic projections from industry leading forecast providers and extends over our reasonable and supportable forecast period, after which we revert to a historical average.

Due to the judgment and uncertainty in estimating the expected credit losses, we may experience changes to the macroeconomic assumptions within our forecast, as well as changes to our loan loss performance outlook, both of which could lead to further changes in our allowance for finance receivable losses, allowance ratio, and provision for finance receivable losses.

Macroeconomic Sensitivity

To demonstrate the sensitivity of forecasting macroeconomic conditions, we compared the output of our model using a baseline scenario to that of a downside scenario. As of December 31, 2024, the impact of a ten percentage point increase in weighting towards a downside scenario increased the estimate by approximately $28 million.

The macroeconomic scenarios are highly influenced by the timing, severity, and duration of changes in the underlying economic factors. This makes it difficult to estimate how potential changes in economic factors affect the estimated credit losses. Therefore, this hypothetical analysis is not intended to represent our expectation of changes in our estimate of expected credit losses due to a change in the macroeconomic environment, nor does it consider management’s judgment of other quantitative and qualitative information which could increase or decrease the estimate.