Bank Of America (BAC-PP) Professional Fees (2009 - 2026)
Bank Of America (BAC-PP) reported Professional Fees of $573 million for Q2 2026, down 10.5% from $640 million a year earlier and down 1.7% from the prior quarter.
Bank Of America (BAC-PP) Professional Fees (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Bank Of America's Professional Fees came in at $2.44 billion, down 11.4% year-over-year; for FY2025, it was $2.58 billion, down 3.3% from FY2024.
- Professional Fees has a five-year compound annual growth rate of 8.8% (FY2020 to FY2025).
- By year, Professional Fees came in at $2.67 billion in FY2024 (+23.6%), $2.16 billion in FY2023 (+0.8%), $2.14 billion in FY2022 (+20.7%) and $1.78 billion in FY2021 (+4.8%).
- The Q2 2026 figure ranks as the lowest quarterly Professional Fees since Q1 2024.
- Year over year, Professional Fees has now declined in each of the last five quarters, with growth averaging 4.9% over the last eight quarters.
- The high point for year-over-year Professional Fees in five years was Q4 2024 (growth of 35.3%); the low point was Q3 2025 (a decline of 16.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $583 million (Q1 2026), $682 million (Q4 2025) and $606 million (Q3 2025).
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 573.00 Mn |
| Mar 31, 2026 | 583.00 Mn |
| Dec 31, 2025 | 682.00 Mn |
| Sep 30, 2025 | 606.00 Mn |
| Jun 30, 2025 | 640.00 Mn |
| Mar 31, 2025 | 652.00 Mn |
| Dec 31, 2024 | 744.00 Mn |
| Sep 30, 2024 | 723.00 Mn |
| Jun 30, 2024 | 654.00 Mn |
| Mar 31, 2024 | 548.00 Mn |
| Dec 31, 2023 | 550.00 Mn |
| Sep 30, 2023 | 545.00 Mn |
| Jun 30, 2023 | 527.00 Mn |
| Mar 31, 2023 | 537.00 Mn |
| Dec 31, 2022 | 649.00 Mn |
| Sep 30, 2022 | 525.00 Mn |
| Jun 30, 2022 | 518.00 Mn |
| Mar 31, 2022 | 450.00 Mn |
| Dec 31, 2021 | 512.00 Mn |
| Sep 30, 2021 | 434.00 Mn |
Bank Of America Professional Fees 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=professional-fees&ticker=BAC-PP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "professional-fees", "ticker": "BAC-PP", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=professional-fees&ticker=BAC-PP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();