Jpmorgan Chase & Co (JPM) Net Interest Income After Provisions (2009 - 2026)
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Analysis
Jpmorgan Chase & Co (JPM) Net Interest Income After Provisions (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 23.00 Bn |
| Mar 31, 2026 | 22.86 Bn |
| Dec 31, 2025 | 20.34 Bn |
| Sep 30, 2025 | 20.56 Bn |
| Jun 30, 2025 | 20.36 Bn |
| Mar 31, 2025 | 19.97 Bn |
| Dec 31, 2024 | 20.72 Bn |
| Sep 30, 2024 | 20.29 Bn |
| Jun 30, 2024 | 19.69 Bn |
| Mar 31, 2024 | 21.20 Bn |
| Dec 31, 2023 | 21.29 Bn |
| Sep 30, 2023 | 21.34 Bn |
| Jun 30, 2023 | 18.88 Bn |
| Mar 31, 2023 | 18.44 Bn |
| Dec 31, 2022 | 17.90 Bn |
| Sep 30, 2022 | 15.98 Bn |
| Jun 30, 2022 | 14.03 Bn |
| Mar 31, 2022 | 12.41 Bn |
| Dec 31, 2021 | 14.89 Bn |
| Sep 30, 2021 | 14.61 Bn |
API Access
Jpmorgan Chase & Co Net Interest Income After Provisions 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=net-interest-income-after-provisions&ticker=JPM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-interest-income-after-provisions", "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=net-interest-income-after-provisions&ticker=JPM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();