Bank Of America (BAC) Provisions (2009 - 2026)
Bank Of America's Provisions was $1.38 billion in Q2 2026, down 11.7% from $1.56 billion a year earlier but up 1.8% from the prior quarter.
Bank Of America (BAC) Provisions (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Bank Of America's Provisions was $5.25 billion through Jun 30, 2026, down 12.9% year-over-year; for FY2025, it was $5.6 billion, down 5.7% from FY2024.
- Provisions shows a five-year compound annual growth rate of -11.9% (FY2020 to FY2025).
- In earlier years, Provisions was $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.
- Quarterly Provisions has moved between -$475 million (Q3 2021) and $1.56 billion (Q2 2024) over five years.
- Compared with a year earlier, Provisions has declined for five straight quarters, with an average decline of 0.7% over the last eight quarters.
- The best year-over-year quarter for Provisions over five years was Q1 2023 (growth of 733.3%); the worst was Q4 2025 (a decline of 17.9%).
- Per Business Quant data, BAC's Provisions in the three quarters before Q2 2026 was $1.35 billion (Q1 2026), $1.2 billion (Q4 2025) and $1.33 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provisions (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | 2.52 Bn |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | - |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | 1.38 Bn |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | 110.00 Mn |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | 717.20 Mn |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | -647.66 Mn |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | 124.00 Mn |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | 914.00 Mn |
| 10 | American Express | 204.37 Bn | -3.81 Bn | - | 1.08 Bn |
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 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=BAC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provisions", "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=provisions&ticker=BAC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();