Jpmorgan Chase (JPM-PJ) Interest Expense - Fed Funds (2010 - 2026)
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Analysis
Jpmorgan Chase (JPM-PJ) Interest Expense - Fed Funds (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 6.54 Bn |
| Jun 30, 2026 | 6.68 Bn |
| Mar 31, 2026 | 6.15 Bn |
| Dec 31, 2025 | 5.21 Bn |
| Sep 30, 2025 | 6.04 Bn |
| Jun 30, 2025 | 5.97 Bn |
| Mar 31, 2025 | 5.19 Bn |
| Dec 31, 2024 | 4.34 Bn |
| Sep 30, 2024 | 5.73 Bn |
| Jun 30, 2024 | 5.11 Bn |
| Mar 31, 2024 | 3.97 Bn |
| Dec 31, 2023 | 3.53 Bn |
| Sep 30, 2023 | 3.52 Bn |
| Jun 30, 2023 | 3.40 Bn |
| Mar 31, 2023 | 2.80 Bn |
| Dec 31, 2022 | 1.97 Bn |
| Sep 30, 2022 | 1.19 Bn |
| Jun 30, 2022 | 445.00 Mn |
| Mar 31, 2022 | 113.00 Mn |
| Dec 31, 2021 | 80.00 Mn |
API Access
Jpmorgan Chase Interest Expense - Fed Funds 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=interest-expense-fed-funds&ticker=JPM-PJ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expense-fed-funds", "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=interest-expense-fed-funds&ticker=JPM-PJ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();