Bank Of America (BAC) Provision for Credit Losses (2009 - 2026)
Bank Of America's Provision for Credit Losses was $1.24 billion in Q3 2026, down 6.6% from $1.33 billion a year earlier and down 9.9% from the prior quarter.
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Analysis
Bank Of America (BAC) Provision for Credit Losses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Bank Of America's Provision for Credit Losses was $5.21 billion through Sep 30, 2026, down 10.3% year-over-year; for FY2025, it was $5.6 billion, down 5.7% from FY2024.
- Provision for Credit Losses shows a five-year compound annual growth rate of -11.9% (FY2020 to FY2025).
- In earlier years, Provision for Credit Losses 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.
- The Q3 2026 figure marks the lowest quarterly Provision for Credit Losses since Q1 2023.
- Compared with a year earlier, Provision for Credit Losses has declined for six straight quarters, with an average decline of 3.9% over the last eight quarters.
- The best year-over-year quarter for Provision for Credit Losses over five years was Q1 2023 (growth of 733.3%); the worst was Q4 2025 (a decline of 14.8%).
- Per Business Quant data, BAC's Provision for Credit Losses in the three quarters before Q3 2026 was $1.38 billion (Q2 2026), $1.35 billion (Q1 2026) and $1.24 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provisions (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 2.74 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | 838.45 Bn |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 1.24 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 103.00 Mn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 717.20 Mn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 368.00 Mn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 1.03 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | - |
| 10 | American Express | 217.14 Bn | 16.62 Bn | - | 985.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.24 Bn |
| Jun 30, 2026 | 1.38 Bn |
| Mar 31, 2026 | 1.35 Bn |
| Dec 31, 2025 | 1.24 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 |
API Access
Bank Of America Provision for Credit Losses 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=provision-for-credit-losses&ticker=BAC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-credit-losses", "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=provision-for-credit-losses&ticker=BAC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();