BANK OF AMERICA CORP DE

Our significant accounting principles, as described in Note 1 – Summary of Significant Accounting Principles to the Consolidated Financial Statements, are essential in understanding the MD&A. Many of our significant accounting principles require complex judgments to estimate the values of assets and liabilities. We have procedures and processes in place to facilitate making these judgments.

The more judgmental estimates are summarized in the following discussion. We have identified and described the development of the variables most important in the estimation processes that involve mathematical models to derive the estimates. In many cases, there are numerous alternative judgments that could be used in the process of determining the inputs to the models. Where alternatives exist, we have used the factors that we believe represent the most reasonable value in developing the inputs. Actual performance that differs from our estimates of the key variables could materially impact our results of operations. Separate from the possible future impact to our results of operations from input and model variables, the value of our lending portfolio and market-sensitive assets and liabilities may change subsequent to the balance sheet date, often significantly, due to the nature and magnitude of future credit and market conditions. Such credit and market conditions may change quickly and in unforeseen ways and the resulting volatility could have a significant, negative effect on future operating results. These fluctuations would not be indicative of deficiencies in our models or inputs.

The allowance for credit losses includes the allowance for loan and lease losses and the reserve for unfunded lending commitments. Our process for determining the allowance for credit losses is discussed in Note 1 – Summary of Significant Accounting Principles and Note 5 – Outstanding Loans and Leases and Allowance for Credit Losses to the Consolidated Financial Statements.

The determination of the allowance for credit losses is based on numerous estimates and assumptions, which require a high degree of judgment and are often interrelated. A critical judgment in the process is the weighting of our forward-looking macroeconomic scenarios that are incorporated into our quantitative models. As any one economic outlook is inherently uncertain, the Corporation uses multiple macroeconomic scenarios in its expected credit losses (ECL) calculation, which have included a baseline scenario derived from consensus estimates, an adverse scenario reflecting a moderate recession, a downside scenario reflecting continued inflation and interest rates above the baseline scenario, a tail risk scenario similar to the severely adverse scenario used in stress testing and an upside scenario that considers the potential for improvement above the baseline scenario. The overall economic outlook is weighted to reflect a moderate growth environment, with lower gross domestic product (GDP) growth and higher unemployment rate expectations as compared to what we experienced in 2024. Generally, as the consensus estimates improve or deteriorate, the allowance for credit losses will change in a similar direction.

There are multiple variables that drive the macroeconomic scenarios with the key variables including, but not limited to, U.S. real GDP and unemployment rates. As of December 31, 2024, the latest consensus estimate for the U.S. average unemployment rate for the fourth quarter of 2024 was 4.2 percent, and U.S. real GDP was forecasted to grow 2.4 percent year-over-year in the fourth quarter of 2024, reflecting a strong labor market and steady growth compared to our macroeconomic outlook as of December 31, 2023, and were factored into our allowance for credit losses estimate as of December 31, 2024. In addition, the table below presents the weighted macroeconomic outlook for U.S. average unemployment rate and U.S. real GDP.

(1)Represents the forecasted weighted economic outlook one and two years out from the reporting date.

In addition to the above judgments and estimates, the allowance for credit losses can also be impacted by unanticipated changes in asset quality of the portfolio, such as increases or decreases in credit and/or internal risk ratings in our commercial portfolio, improvement or deterioration in borrower delinquencies or credit scores in our credit card portfolio and increases or decreases in home prices, which is a primary driver of LTVs, in our consumer real estate portfolio, all

of which have some degree of uncertainty. The allowance for credit losses decreased $215 million from $14.6 billion at December 31, 2023 to $14.3 billion at December 31, 2024, primarily due to a reserve release in our commercial portfolio due to a favorable macroeconomic environment and reduced exposure in our commercial real estate portfolio.

To provide an illustration of the sensitivity of the macroeconomic scenarios and other assumptions on the estimate of our allowance for credit losses, the Corporation compared the December 31, 2024 modeled ECL from the baseline scenario to our adverse scenario. Relative to the baseline scenario, the adverse scenario assumed a peak U.S. unemployment rate of over two percentage points higher than the baseline scenario, a decline in U.S. real GDP followed by a prolonged recovery and a lower home price outlook with a difference of approximately 19 percent at the trough. This sensitivity analysis resulted in a hypothetical increase in the allowance for credit losses of approximately $4.8 billion.

While the sensitivity analysis may be useful to consider how changes in certain macroeconomic assumptions could impact our baseline ECLs, it should not be relied upon as a forecast of how our allowance for credit losses is expected to change in a different macroeconomic outlook. Ultimately, the estimate of the allowance for credit losses is dependent upon a variety of potential factors including, but not limited to, qualitative assessments, weighting of alternate macroeconomic scenarios and changes in portfolio mix that would need to be considered comprehensively in determining the allowance for credit losses. Due to the uncertainty in predicting these factors, they are not incorporated into the sensitivity analysis.

Fair Value of Financial Instruments

Under applicable accounting standards, we are required to maximize the use of observable inputs and minimize the use of unobservable inputs in measuring fair value. We classify fair value measurements of financial instruments and MSRs based on the three-level fair value hierarchy in the accounting standards.

The fair values of assets and liabilities may include adjustments, such as market liquidity and credit quality, where appropriate. Valuations of products using models or other techniques are sensitive to assumptions used for the significant inputs. Where market data is available, the inputs used for valuation reflect that information as of our valuation date. Inputs to valuation models are considered unobservable if they are supported by little or no market activity. In periods of extreme volatility, lessened liquidity or in illiquid markets, there may be more variability in market pricing or a lack of market data to use in the valuation process. In keeping with the prudent application of estimates and management judgment in determining the fair value of assets and liabilities, we have in place various processes and controls that include: a model validation policy that requires review and approval of quantitative models used for deal pricing, financial statement fair value determination and risk quantification; a trading product valuation policy that requires verification of all traded product valuations; and a periodic review and substantiation of daily profit and loss reporting for all traded products. Primarily through validation controls, we utilize both broker and pricing service inputs which can and do include both market-observable and internally-modeled values and/or valuation inputs. Our reliance on this information is affected by our understanding of how the broker and/or pricing service develops its data with a higher degree of reliance applied to those that are more directly observable and lesser reliance applied to those developed through their own

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internal modeling. For example, broker quotes in less active markets may only be indicative and therefore less reliable. These processes and controls are performed independently of the business. For more information, see Note 20 – Fair Value Measurements and Note 21 – Fair Value Optionto the Consolidated Financial Statements.

Level 3 Assets and Liabilities

Financial assets and liabilities, and MSRs, where values are based on valuation techniques that require inputs that are both unobservable and are significant to the overall fair value measurement are classified as Level 3 under the fair value hierarchy established in applicable accounting standards. The fair value of these Level 3 financial assets and liabilities and MSRs is determined using pricing models, discounted cash flow methodologies or similar techniques for which the determination of fair value requires significant management judgment or estimation.

Level 3 financial instruments may be hedged with derivatives classified as Level 1 or 2; therefore, gains or losses associated with Level 3 financial instruments may be offset by gains or losses associated with financial instruments classified in other levels of the fair value hierarchy. The Level 3 gains and losses recorded in earnings did not have a significant impact on our liquidity or capital. We conduct a review of our fair value hierarchy classifications on a quarterly basis. Transfers into or out of Level 3 are made if the significant inputs used in financial models measuring the fair values of the assets and liabilities became unobservable or observable, respectively, in the current marketplace, or when previously insignificant unobservable and observable inputs become significant, respectively. For more information on transfers into and out of Level 3 during 2024, 2023 and 2022, see Note 20 – Fair Value Measurementsto the Consolidated Financial Statements.

Accrued Income Taxes and Deferred Tax Assets

Accrued income taxes, reported as a component of either other assets or accrued expenses and other liabilities on the Consolidated Balance Sheet, represent the net amount of current income taxes we expect to pay to or receive from various taxing jurisdictions attributable to our operations to date. We currently file income tax returns in more than 100 jurisdictions and consider many factors, including statutory, judicial and regulatory guidance, in estimating the appropriate accrued income taxes for each jurisdiction.

Net deferred tax assets, reported as a component of other assets on the Consolidated Balance Sheet, represent the net decrease in taxes expected to be paid in the future because of net operating loss (NOL) and tax credit carryforwards and because of future reversals of temporary differences in the

bases of assets and liabilities as measured by tax laws and their bases as reported in the financial statements. NOL and tax credit carryforwards result in reductions to future tax liabilities, and many of these attributes can expire if not utilized within certain periods. We consider the need for valuation allowances to reduce net deferred tax assets to the amounts that we estimate are more likely than not to be realized.

Consistent with the applicable accounting guidance, we monitor relevant tax authorities and change our estimates of accrued income taxes and/or net deferred tax assets due to changes in income tax laws and their interpretation by the courts and regulatory authorities. These revisions of our estimates, which also may result from our income tax planning and from the resolution of income tax audit matters, may be material to our operating results for any given period.

See Note 19 – Income Taxes to the Consolidated Financial Statements for a table of significant tax attributes and additional information. For more information, see Item 1A. Risk Factors – Regulatory, Compliance and Legal.

Goodwill and Intangible Assets

The nature of and accounting for goodwill and intangible assets are discussed in Note 1 – Summary of Significant Accounting Principles and Note 7 – Goodwill and Intangible Assets.

We completed our annual goodwill impairment test as of June 30, 2024 by using a qualitative assessment. Factors considered in the qualitative assessment include, among others, macroeconomic conditions, industry and market considerations, financial performance of the respective reporting unit and other relevant entity and reporting-unit specific considerations. Based on our assessment, we have concluded that none of our reporting units are at risk of impairment, as each of the reporting units’ fair values are substantially in excess of their carrying values.

Certain Contingent Liabilities

For more information on the complex judgments associated with certain contingent liabilities, see Note 12 – Commitments and Contingencies to the Consolidated Financial Statements.