Jpmorgan Chase (JPM) Interest Expense - Fed Funds (2015 - 2026)
Jpmorgan Chase's Interest Expense - Fed Funds was $6.68 billion in Q2 2026, up 11.9% from $5.97 billion a year earlier and up 8.6% from the prior quarter.
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Analysis
Jpmorgan Chase (JPM) Interest Expense - Fed Funds (2015 - 2026) Analysis & Trends
On a trailing twelve-month basis, Jpmorgan Chase's Interest Expense - Fed Funds was $24.08 billion through Jun 30, 2026, up 13.4% year-over-year; for FY2025, it was $22.41 billion, up 17.0% from FY2024.
- Interest Expense - Fed Funds has now increased for three consecutive years, with a five-year compound annual growth rate of 84.2% (FY2020 to FY2025).
- In earlier years, Interest Expense - Fed Funds was $19.15 billion in FY2024 (+44.4%), $13.26 billion in FY2023 (+256.3%), $3.72 billion in FY2022 and $274 million in FY2021 (-74.1%).
- The Q2 2026 figure marks the highest quarterly Interest Expense - Fed Funds in data going back to Q1 2015.
- Compared with a year earlier, Interest Expense - Fed Funds has increased for 13 straight quarters, with growth averaging 23.6% over the last eight quarters.
- Over the past five years, the year-over-year growth in Interest Expense - Fed Funds ranged from 5.4% (Q3 2025) to 903.4% (Q3 2022).
- Per Business Quant data, JPM's Interest Expense - Fed Funds in the three quarters before Q2 2026 was $6.15 billion (Q1 2026), $5.21 billion (Q4 2025) and $6.04 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - |
| 10 | American Express | 205.34 Bn | -2.83 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 119.00 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&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expense-fed-funds", "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=interest-expense-fed-funds&ticker=JPM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();