Jpmorgan Chase (JPM) Provision for Credit Losses (2009 - 2026)
Jpmorgan Chase's Provision for Credit Losses was $2.74 billion in Q3 2026, down 19.4% from $3.4 billion a year earlier but up 9.1% from the prior quarter.
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Analysis
Jpmorgan Chase (JPM) Provision for Credit Losses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Jpmorgan Chase's Provision for Credit Losses was $12.42 billion through Sep 30, 2026, up 1.9% year-over-year; for FY2025, it came in at $14.21 billion, up 33.1% from FY2024.
- Provision for Credit Losses has now increased for three consecutive years, though with a five-year compound annual growth rate of -4.1% (FY2020 to FY2025).
- In earlier years, Provision for Credit Losses was $10.68 billion in FY2024 (+12.8%), $9.47 billion in FY2023 (+48.2%), $6.39 billion in FY2022 and -$9.26 billion in FY2021.
- Quarterly Provision for Credit Losses has moved between -$1.29 billion (Q4 2021) and $4.66 billion (Q4 2025) over five years.
- Compared with a year earlier, Provision for Credit Losses has declined for three straight quarters, with growth averaging 12.5% over the last eight quarters.
- The best year-over-year quarter for Provision for Credit Losses over five years was Q2 2023 (growth of 163.3%); the worst was Q1 2026 (a decline of 24.1%).
- Per Business Quant data, JPM's Provision for Credit Losses in the three quarters before Q3 2026 was $2.52 billion (Q2 2026), $2.51 billion (Q1 2026) and $4.66 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 | 2.74 Bn |
| Jun 30, 2026 | 2.52 Bn |
| Mar 31, 2026 | 2.51 Bn |
| Dec 31, 2025 | 4.66 Bn |
| Sep 30, 2025 | 3.40 Bn |
| Jun 30, 2025 | 2.85 Bn |
| Mar 31, 2025 | 3.31 Bn |
| Dec 31, 2024 | 2.63 Bn |
| Sep 30, 2024 | 3.11 Bn |
| Jun 30, 2024 | 3.05 Bn |
| Mar 31, 2024 | 1.89 Bn |
| Dec 31, 2023 | 2.63 Bn |
| Sep 30, 2023 | 1.38 Bn |
| Jun 30, 2023 | 2.90 Bn |
| Mar 31, 2023 | 2.28 Bn |
| Dec 31, 2022 | 2.29 Bn |
| Sep 30, 2022 | 1.54 Bn |
| Jun 30, 2022 | 1.10 Bn |
| Mar 31, 2022 | 1.46 Bn |
| Dec 31, 2021 | -1.29 Bn |
API Access
Jpmorgan Chase 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=JPM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-credit-losses", "ticker": "JPM", "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=JPM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();