Jpmorgan Chase (JPM) Provision for Losses (2009 - 2026)
Jpmorgan Chase (JPM) recorded Provision for Losses of $2.52 billion in Q2 2026, down 11.7% from $2.85 billion a year earlier but up 0.3% from the prior quarter.
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Analysis
Jpmorgan Chase (JPM) Provision for Losses (2009 - 2026) Analysis & Trends
On a TTM basis, Jpmorgan Chase's Provision for Losses came in at $13.08 billion as of Jun 30, 2026, up 10.0% year-over-year; for FY2025, it was $14.21 billion, up 33.1% from FY2024.
- Annual Provision for Losses has increased for three straight years, though with a five-year compound annual growth rate of -4.1% (FY2020 to FY2025).
- Across earlier years, Provision for Losses came in at $10.68 billion in FY2024 (+14.6%), $9.32 billion in FY2023 (+45.9%), $6.39 billion in FY2022 and -$9.26 billion in FY2021.
- Quarterly Provision for Losses has ranged from -$1.53 billion in Q3 2021 to $4.66 billion in Q4 2025 over the past five years.
- On a year-over-year basis, Provision for Losses rose in four of the last eight quarters, with growth averaging 29.9%.
- Peak year-over-year performance for Provision for Losses in the last five years was growth of 163.3% in Q2 2023, against a decline of 24.1% in Q1 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $2.51 billion (Q1 2026), $4.66 billion (Q4 2025) and $3.4 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provision for Losses (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 903.97 Bn | 903.97 Bn | - | - |
| 2 | Bank Of America | 356.92 Bn | -2,019.15 Bn | - | 1.40 Bn |
| 3 | Hsbc Holdings | 296.96 Bn | -1,806.64 Bn | - | - |
| 4 | Morgan Stanley | 285.10 Bn | 285.10 Bn | - | - |
| 5 | Royal Bank Of Canada | 284.66 Bn | -545.38 Bn | - | 717.20 Mn |
| 6 | Goldman Sachs | 266.61 Bn | 266.61 Bn | - | - |
| 7 | Wells Fargo & Company | 250.94 Bn | 250.94 Bn | - | 1.03 Bn |
| 8 | Mitsubishi Ufj Financial | 245.01 Bn | -96.38 Bn | 10.89 Bn | - |
| 9 | Toronto Dominion Bank | 214.22 Bn | -461.66 Bn | - | - |
| 10 | American Express | 214.16 Bn | 13.64 Bn | - | 985.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 | 1.88 Bn |
| Dec 31, 2023 | 2.76 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 |
| Sep 30, 2021 | -1.53 Bn |
API Access
Jpmorgan Chase Provision for 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-losses&ticker=JPM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-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-losses&ticker=JPM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();