Regional Management Corp.

Management’s discussion and analysis of financial condition and results of operations is based upon our consolidated financial statements, which have been prepared in accordance with GAAP and conform to general practices within the consumer finance industry. The preparation of these financial statements requires estimates and assumptions that affect the reported amounts of assets and liabilities, revenues and expenses, and disclosure of contingent assets and liabilities for the periods indicated in the financial statements. Management bases estimates on historical experience and other assumptions it believes to be reasonable under the circumstances and evaluates these estimates on an ongoing basis. Actual results may differ from these estimates under different assumptions or conditions.

Allowance for Credit Losses.

The allowance for credit losses is based on historical credit experience, current conditions, and reasonable and supportable economic forecasts. The historical loss experience is adjusted for quantitative and qualitative factors that are not fully reflected in the historical data. In determining our estimate of expected credit losses, we evaluate information related to credit metrics, changes in our lending strategies and underwriting practices, and the current and forecasted direction of the economic and business environment. These metrics include, but are not limited to, loan portfolio mix and growth, unemployment, credit loss trends, delinquency trends, changes in underwriting, and operational risks.

We selected a PD / LGD model to estimate our base allowance for credit losses, in which the estimated loss is equal to the product of PD and LGD. Historical net finance receivables are tracked over the term of the pools to identify the incidences of loss (PDs) and the average severity of losses (LGDs).

To enhance the precision of the allowance for credit loss estimate, we evaluate our finance receivable portfolio on a pool basis and segment each pool of finance receivables with similar credit risk characteristics. As part of our evaluation, we consider loan portfolio characteristics such as product type, loan size, loan term, internal or external credit scores, delinquency status, geographical location, and vintage. Based on analysis of historical loss experience, we selected the following segmentation: product type, FICO score, and delinquency status.

As finance receivables are originated or purchased, provisions for credit losses are recorded in amounts sufficient to maintain an allowance for credit losses at an adequate level to provide for estimated losses over the contractual life of the finance receivables (considering the effect of prepayments). Subsequent changes to the contractual terms that are a result of re-underwriting are not included in the finance receivable’s contractual life (considering the effect of prepayments). We use our segmentation loss experience to forecast expected credit losses. Historical information about losses generally provides a basis for the estimate of expected credit losses. We also consider the need to adjust historical information to reflect the extent to which current conditions differ from the conditions that existed for the period over which historical information was evaluated. These adjustments to historical loss information may be qualitative or quantitative in nature.

Macroeconomic forecasts are required for our allowance for credit loss model and require significant judgment and estimation uncertainty. We consider key economic factors, most notably unemployment rates, to incorporate into our estimate of the allowance for credit losses. We engaged a major rating service provider to assist with compiling a reasonable and supportable forecast which we use to support the adjustments of our historical loss experience.

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 credit loss performance outlook, both of which could lead to further changes in our allowance for credit losses, allowance as a percentage of net finance receivables, and provision for credit losses. Potential macroeconomic changes have created conditions that increase the level of uncertainty associated with our estimate of the amount and timing of future credit losses from our loan portfolio.

Macroeconomic Sensitivity. To demonstrate the sensitivity of forecasting macroeconomic conditions, we stressed our macroeconomic model with a 10% increased weighting toward slower near-term growth that would have increased our reserves as of September 30, 2026 by $1.7 million.

The macroeconomic scenarios are highly influenced by 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.