Bank Of America Corp /De/ (BACRP) Provisions (2009 - 2026)
Bank Of America (BACRP) reported Provisions of $1.38 billion for Q2 2026, down 11.7% from $1.56 billion a year earlier but up 1.8% from the prior quarter.
Bank Of America Corp /De/ (BACRP) Provisions (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Bank Of America's Provisions came in at $5.25 billion, down 12.9% year-over-year; for FY2025, it was $5.6 billion, down 5.7% from FY2024.
- Provisions has a five-year compound annual growth rate of -11.9% (FY2020 to FY2025).
- By year, Provisions came in at $5.94 billion in FY2024 (+25.6%), $4.73 billion in FY2023 (+92.1%), $2.46 billion in FY2022 and -$4.17 billion in FY2021.
- Five-year quarterly Provisions spans a low of -$475 million in Q3 2021 and a high of $1.56 billion in Q2 2024.
- Year over year, Provisions has now declined in each of the last five quarters, with an average decline of 0.7% over the last eight quarters.
- The high point for year-over-year Provisions in five years was Q1 2023 (growth of 733.3%); the low point was Q4 2025 (a decline of 17.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $1.35 billion (Q1 2026), $1.2 billion (Q4 2025) and $1.33 billion (Q3 2025).
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.38 Bn |
| Mar 31, 2026 | 1.35 Bn |
| Dec 31, 2025 | 1.20 Bn |
| Sep 30, 2025 | 1.33 Bn |
| Jun 30, 2025 | 1.56 Bn |
| Mar 31, 2025 | 1.47 Bn |
| Dec 31, 2024 | 1.46 Bn |
| Sep 30, 2024 | 1.55 Bn |
| Jun 30, 2024 | 1.56 Bn |
| Mar 31, 2024 | 1.37 Bn |
| Dec 31, 2023 | 1.25 Bn |
| Sep 30, 2023 | 1.27 Bn |
| Jun 30, 2023 | 1.31 Bn |
| Mar 31, 2023 | 900.00 Mn |
| Dec 31, 2022 | 1.07 Bn |
| Sep 30, 2022 | 845.00 Mn |
| Jun 30, 2022 | 441.00 Mn |
| Mar 31, 2022 | 108.00 Mn |
| Dec 31, 2021 | -407.00 Mn |
| Sep 30, 2021 | -475.00 Mn |
Bank Of America Corp /De/ Provisions 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=provisions&ticker=BACRP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provisions", "ticker": "BACRP", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=provisions&ticker=BACRP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();