Jpmorgan Chase (JPM-PJ) Provision for Losses (2009 - 2026)
Jpmorgan Chase's Provision for Losses came in at $2.52 billion for 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-PJ) Provision for Losses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Jpmorgan Chase reported Provision for Losses of $13.08 billion, up 10.0% year-over-year; for FY2025, it was $14.21 billion, up 33.1% from FY2024.
- Provision for Losses has increased in each of the last three years, though with a five-year compound annual growth rate of -4.1% (FY2020 to FY2025).
- Going back by year, Provision for Losses was $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.
- The five-year range for quarterly Provision for Losses is -$1.53 billion (Q3 2021) to $4.66 billion (Q4 2025).
- Year-over-year, Provision for Losses increased in four of the last eight quarters, with growth averaging 29.9%.
- The fastest year-over-year change in Provision for Losses over five years came in Q2 2023 (growth of 163.3%), and the weakest in Q1 2026 (a decline of 24.1%).
- Business Quant data shows JPM-PJ's Provision for Losses at $2.51 billion (Q1 2026), $4.66 billion (Q4 2025) and $3.4 billion (Q3 2025) in the three quarters before Q2 2026.
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Peer Comparison
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 | 1.88 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 |
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-PJ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-losses", "ticker": "JPM-PJ", "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-PJ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();