Bank Of America (BAC) Other Operating Expenses (2009 - 2026)
Bank Of America (BAC) posted Other Operating Expenses of $1.92 billion for Q2 2026, up 5.8% from $1.82 billion a year earlier but down 4.7% from the prior quarter.
Bank Of America (BAC) Other Operating Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Other Operating Expenses at Bank Of America was $7.68 billion, up 4.1% year-over-year; for FY2025, it came in at $7.45 billion, up 3.1% from FY2024.
- Annual Other Operating Expenses has increased for five consecutive years, with a five-year compound annual growth rate of 7.4% (FY2020 to FY2025).
- In prior years, Bank Of America's Other Operating Expenses was $7.23 billion in FY2024 (+7.8%), $6.71 billion in FY2023 (+6.8%), $6.28 billion in FY2022 (+8.8%) and $5.77 billion in FY2021 (+10.5%).
- Quarterly Other Operating Expenses has run from a low of $1.42 billion in Q3 2021 to a high of $2.02 billion in Q1 2026 over five years.
- On a year-over-year basis, Other Operating Expenses has increased in each of the last 23 quarters, with growth averaging 5.3% over the last eight quarters.
- The year-over-year growth in Other Operating Expenses has ranged between 1.5% (Q4 2025) and 12.0% (Q4 2022) over the last five years.
- According to Business Quant data, Other Operating Expenses for the three prior quarters was $2.02 billion (Q1 2026), $1.91 billion (Q4 2025) and $1.83 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - |
| 10 | American Express | 204.37 Bn | -3.81 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.92 Bn |
| Mar 31, 2026 | 2.02 Bn |
| Dec 31, 2025 | 1.91 Bn |
| Sep 30, 2025 | 1.83 Bn |
| Jun 30, 2025 | 1.82 Bn |
| Mar 31, 2025 | 1.89 Bn |
| Dec 31, 2024 | 1.88 Bn |
| Sep 30, 2024 | 1.78 Bn |
| Jun 30, 2024 | 1.76 Bn |
| Mar 31, 2024 | 1.80 Bn |
| Dec 31, 2023 | 1.69 Bn |
| Sep 30, 2023 | 1.68 Bn |
| Jun 30, 2023 | 1.64 Bn |
| Mar 31, 2023 | 1.70 Bn |
| Dec 31, 2022 | 1.66 Bn |
| Sep 30, 2022 | 1.55 Bn |
| Jun 30, 2022 | 1.54 Bn |
| Mar 31, 2022 | 1.54 Bn |
| Dec 31, 2021 | 1.48 Bn |
| Sep 30, 2021 | 1.42 Bn |
Bank Of America Other Operating Expenses API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=other-operating-expenses&ticker=BAC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "ticker": "BAC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=other-operating-expenses&ticker=BAC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();