Jpmorgan Chase (JPM) Non Operating Interest Expenses (2009 - 2024)
Jpmorgan Chase's Non Operating Interest Expenses came in at $24.36 billion for Q1 2024, up 49.5% from $16.29 billion a year earlier and up 4.4% from the prior quarter.
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Analysis
Jpmorgan Chase (JPM) Non Operating Interest Expenses (2009 - 2024) Analysis & Trends
Over the trailing twelve months to Mar 31, 2024, Jpmorgan Chase reported Non Operating Interest Expenses of $89.38 billion, up 119.3% year-over-year; for FY2023, it came in at $81.32 billion, up 211.6% from FY2022.
- Non Operating Interest Expenses carries a five-year compound annual growth rate of 31.0% (FY2018 to FY2023).
- Going back by year, Non Operating Interest Expenses was $26.1 billion in FY2022 (+370.0%), $5.55 billion in FY2021 (-44.2%), $9.96 billion in FY2020 (-62.8%) and $26.8 billion in FY2019 (+27.3%).
- The Q1 2024 figure represents the highest quarterly Non Operating Interest Expenses in data going back to Q1 2009.
- Year-over-year, Non Operating Interest Expenses has increased for ten consecutive quarters, with growth averaging 389.2% over the last eight quarters.
- The fastest year-over-year change in Non Operating Interest Expenses over five years came in Q1 2023 (growth of 903.3%), and the weakest in Q4 2020 (a decline of 77.6%).
- Business Quant data shows JPM's Non Operating Interest Expenses at $23.33 billion (Q4 2023), $21.83 billion (Q3 2023) and $19.87 billion (Q2 2023) in the three quarters before Q1 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | -538.61 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 | - | 12.80 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 9.12 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 |
|---|---|
| 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 |
| Jun 30, 2021 | 1.35 Bn |
| Mar 31, 2021 | 1.38 Bn |
| Dec 31, 2020 | 1.29 Bn |
| Sep 30, 2020 | 1.69 Bn |
| Jun 30, 2020 | 2.26 Bn |
| Mar 31, 2020 | 4.72 Bn |
| Dec 31, 2019 | 5.76 Bn |
| Sep 30, 2019 | 6.89 Bn |
| Jun 30, 2019 | 7.21 Bn |
API Access
Jpmorgan Chase Non Operating 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=non-operating-interest-expenses&ticker=JPM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-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=non-operating-interest-expenses&ticker=JPM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();