Jpmorgan Chase (JPM) Interest Expenses (2009 - 2026)
Jpmorgan Chase (JPM) reported Interest Expenses of $25.11 billion for Q2 2026, up 0.3% from $25.03 billion a year earlier and up 5.4% from the prior quarter.
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Analysis
Jpmorgan Chase (JPM) Interest Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Jpmorgan Chase's Interest Expenses came in at $98.22 billion, down 1.6% year-over-year; for FY2025, it was $97.9 billion, down 3.4% from FY2024.
- Interest Expenses has a five-year compound annual growth rate of 57.9% (FY2020 to FY2025).
- By year, Interest Expenses came in at $101.35 billion in FY2024 (+24.6%), $81.32 billion in FY2023 (+211.6%), $26.1 billion in FY2022 (+370.0%) and $5.55 billion in FY2021 (-44.2%).
- Five-year quarterly Interest Expenses spans a low of $1.4 billion in Q3 2021 and a high of $27.01 billion in Q3 2024.
- Year over year, Interest Expenses gained in four of the last eight quarters, with growth averaging 1.9%.
- The high point for year-over-year Interest Expenses in five years was Q1 2023 (growth of 903.3%); the low point was Q3 2021 (a decline of 17.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $23.83 billion (Q1 2026), $23.81 billion (Q4 2025) and $25.47 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.36 Bn | 924.83 Bn | - | 25.11 Bn |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - | -538.61 Bn |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - | 17.84 Bn |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - | - |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - | 13.12 Bn |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 Bn | - | 12.80 Bn |
| 7 | Mitsubishi Ufj Financial | 277.23 Bn | -1,311.26 Bn | 10.89 Bn | 9.12 Bn |
| 8 | Goldman Sachs | 267.12 Bn | -3,289.99 Bn | - | 18.09 Bn |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - | 10.97 Bn |
| 10 | Banco Santander | 209.18 Bn | 216.79 Bn | - | -17.89 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 25.11 Bn |
| Mar 31, 2026 | 23.83 Bn |
| Dec 31, 2025 | 23.81 Bn |
| Sep 30, 2025 | 25.47 Bn |
| Jun 30, 2025 | 25.03 Bn |
| Mar 31, 2025 | 23.58 Bn |
| Dec 31, 2024 | 24.22 Bn |
| Sep 30, 2024 | 27.01 Bn |
| Jun 30, 2024 | 25.77 Bn |
| Mar 31, 2024 | 24.36 Bn |
| Dec 31, 2023 | 23.33 Bn |
| Sep 30, 2023 | 21.83 Bn |
| Jun 30, 2023 | 19.87 Bn |
| Mar 31, 2023 | 16.29 Bn |
| Dec 31, 2022 | 12.86 Bn |
| Sep 30, 2022 | 8.09 Bn |
| Jun 30, 2022 | 3.52 Bn |
| Mar 31, 2022 | 1.62 Bn |
| Dec 31, 2021 | 1.42 Bn |
| Sep 30, 2021 | 1.40 Bn |
API Access
Jpmorgan Chase Interest Expenses 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-expenses&ticker=JPM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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-expenses&ticker=JPM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();