Bank Of America (BAC) Accumulated Expenses (2009 - 2026)
Bank Of America's Accumulated Expenses came in at $275.17 billion for Q2 2026, up 25.1% from $220.04 billion a year earlier and up 11.2% from the prior quarter.
Powered by 
Analysis
Bank Of America (BAC) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Bank Of America's Accumulated Expenses was $231.07 billion, up 9.2% from FY2024.
- Accumulated Expenses carries a five-year compound annual growth rate of 4.9% (FY2020 to FY2025).
- Going back by year, Accumulated Expenses was $211.55 billion in FY2024 (+1.9%), $207.53 billion in FY2023 (-7.4%), $224.07 billion in FY2022 (+11.8%) and $200.42 billion in FY2021 (+10.2%).
- The Q2 2026 figure represents the highest quarterly Accumulated Expenses in data going back to Q4 2009.
- Year-over-year, Accumulated Expenses has increased for five consecutive quarters, with growth averaging 8.5% over the last eight quarters.
- The fastest year-over-year change in Accumulated Expenses over five years came in Q2 2026 (growth of 25.1%), and the weakest in Q3 2023 (a decline of 8.1%).
- Business Quant data shows BAC's Accumulated Expenses at $247.47 billion (Q1 2026), $231.07 billion (Q4 2025) and $231.61 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 881.30 Bn | 881.30 Bn | - |
| 2 | Bank Of America | 354.90 Bn | -2,021.17 Bn | - |
| 3 | Hsbc Holdings | 311.39 Bn | -1,517.77 Bn | - |
| 4 | Morgan Stanley | 282.15 Bn | -226.95 Bn | - |
| 5 | Royal Bank Of Canada | 281.68 Bn | -548.32 Bn | - |
| 6 | Goldman Sachs | 255.22 Bn | -3,301.89 Bn | - |
| 7 | Mitsubishi Ufj Financial | 249.82 Bn | -82.42 Bn | 10.89 Bn |
| 8 | Wells Fargo & Company | 249.49 Bn | 251.62 Bn | - |
| 9 | Toronto Dominion Bank | 210.53 Bn | -465.35 Bn | - |
| 10 | American Express | 210.06 Bn | 9.55 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 275.17 Bn |
| Mar 31, 2026 | 247.47 Bn |
| Dec 31, 2025 | 231.07 Bn |
| Sep 30, 2025 | 231.61 Bn |
| Jun 30, 2025 | 220.04 Bn |
| Mar 31, 2025 | 201.76 Bn |
| Dec 31, 2024 | 211.55 Bn |
| Sep 30, 2024 | 222.66 Bn |
| Jun 30, 2024 | 213.75 Bn |
| Mar 31, 2024 | 214.13 Bn |
| Dec 31, 2023 | 207.53 Bn |
| Sep 30, 2023 | 206.49 Bn |
| Jun 30, 2023 | 205.74 Bn |
| Mar 31, 2023 | 216.62 Bn |
| Dec 31, 2022 | 224.07 Bn |
| Sep 30, 2022 | 224.62 Bn |
| Jun 30, 2022 | 214.52 Bn |
| Mar 31, 2022 | 219.63 Bn |
| Dec 31, 2021 | 200.42 Bn |
| Sep 30, 2021 | 191.57 Bn |
API Access
Bank Of America Accumulated 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=accumulated-expenses&ticker=BAC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=BAC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();