Jpmorgan Chase & Co (JPM) Provision for Credit Losses (2009 - 2026)
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Analysis
Jpmorgan Chase & Co (JPM) Provision for Credit Losses (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
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 | 1.89 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 |
| Sep 30, 2021 | -1.53 Bn |
API Access
Jpmorgan Chase & Co 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();