Jpmorgan Chase (JPM) Long-Term Debt Repayments (2009 - 2026)
Jpmorgan Chase (JPM) reported Long-Term Debt Repayments of $28.02 billion for Q2 2026, up 25.3% from $22.36 billion a year earlier but down 12.3% from the prior quarter.
Jpmorgan Chase (JPM) Long-Term Debt Repayments (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Jpmorgan Chase's Long-Term Debt Repayments came in at $117.23 billion, up 16.4% year-over-year; for FY2025, it came in at $108.1 billion, up 11.9% from FY2024.
- Long-Term Debt Repayments has increased for three consecutive years, with a five-year compound annual growth rate of 0.6% (FY2020 to FY2025).
- By year, Long-Term Debt Repayments came in at $96.61 billion in FY2024 (+48.9%), $64.88 billion in FY2023 (+42.4%), $45.56 billion in FY2022 (-17.1%) and $54.93 billion in FY2021 (-47.7%).
- Five-year quarterly Long-Term Debt Repayments spans a low of $8.09 billion in Q4 2022 and a high of $31.94 billion in Q1 2026.
- Year over year, Long-Term Debt Repayments has now increased in each of the last four quarters, with growth averaging 24.9% over the last eight quarters.
- The high point for year-over-year Long-Term Debt Repayments in five years was Q4 2023 (growth of 99.4%); the low point was Q3 2021 (a decline of 73.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $31.94 billion (Q1 2026), $29.49 billion (Q4 2025) and $27.79 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 28.02 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 27.22 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 26.48 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | -120.49 Mn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 20.41 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 12.00 Bn |
| 10 | American Express | 205.34 Bn | -2.83 Bn | - | 3.95 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 28.02 Bn |
| Mar 31, 2026 | 31.94 Bn |
| Dec 31, 2025 | 29.49 Bn |
| Sep 30, 2025 | 27.79 Bn |
| Jun 30, 2025 | 22.36 Bn |
| Mar 31, 2025 | 28.46 Bn |
| Dec 31, 2024 | 29.23 Bn |
| Sep 30, 2024 | 20.67 Bn |
| Jun 30, 2024 | 25.46 Bn |
| Mar 31, 2024 | 21.25 Bn |
| Dec 31, 2023 | 16.12 Bn |
| Sep 30, 2023 | 16.75 Bn |
| Jun 30, 2023 | 15.83 Bn |
| Mar 31, 2023 | 16.17 Bn |
| Dec 31, 2022 | 8.09 Bn |
| Sep 30, 2022 | 11.48 Bn |
| Jun 30, 2022 | 12.90 Bn |
| Mar 31, 2022 | 13.09 Bn |
| Dec 31, 2021 | 8.89 Bn |
| Sep 30, 2021 | 12.58 Bn |
Jpmorgan Chase Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=JPM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=JPM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();