Company: HBAN
Filing Date: 2025-07-29
Form Type: 10-Q
Source: 0000049196-25-000063
Chunk: 114

Company: HUNTINGTON BANCSHARES INC /MD/
Filing Date: 2025-07-29
Form: 10-Q
Item: Part I, Item 2
Chunk 114
---
 we used in our Consolidated Financial Statements.

An accounting estimate requires assumptions and judgments about uncertain matters that could have a material effect on the Consolidated Financial Statements. Estimates are made under facts and circumstances at a point in time, and changes in those facts and circumstances could produce results substantially different from those estimates. Our critical accounting policies include the allowance for credit losses and goodwill. The policies, assumptions, and judgments related to goodwill are described in the Critical Accounting Policies and Use of Significant Estimates section within the MD&A of Huntington’s 2024 Annual Report on Form 10-K. The following details the policies, assumption, and judgments related to the allowance for credit losses.

Allowance for Credit Losses

Our ACL at June 30, 2025 represents our current estimate of the lifetime credit losses expected from our loan and lease portfolio and our unfunded lending commitments. Management estimates the ACL by projecting probability of default, loss given default, and exposure at default, conditional on economic parameters, for the remaining contractual term. Internal factors that impact the quarterly allowance estimate include the level of outstanding balances, the portfolio performance, and assigned risk ratings. We utilize statistically-based models that employ assumptions about current and future economic conditions throughout the contractual life of our loan portfolio. As part of our model risk oversight, we perform ongoing monitoring of model performance to assess modeling approaches and identify potential model enhancements, which may result in updates to our statistically based models from time-to-time.

2025 2Q Form 10-Q     37

Table of Contents

One of the most significant judgments influencing the ACL estimate is the macroeconomic forecasts. Key external economic parameters that directly impact our loss modeling framework include forecasted unemployment rates and GDP. Changes in the economic forecasts could significantly affect the estimated credit losses, which could potentially lead to materially different allowance levels from one reporting period to the next.

Given the dynamic relationship between macroeconomic variables within our modeling framework, it is difficult to estimate the impact of a change in any one individual variable on the allowance. As a result, management uses a probability-weighted approach that incorporates a baseline, an adverse, and a more favorable economic scenario when formulating the quantitative estimate.

To illustrate a hypothetical sensitivity analysis, management calculated a quantitative allowance using a 100% weighting applied to an adverse scenario reflecting an amount of stress in excess of current expectations. This scenario contemplates elevated interest rates weakening credit-sensitive consumer spending and confidence more than expected. The impact of tariffs on the economy is significantly worse than expected, causing inflation to increase. In response, the Federal Reserve