Us Bancorp (USB) Long-Term Debt Repayments (2009 - 2026)
Us Bancorp (USB) posted Long-Term Debt Repayments of $6.48 billion for Q2 2026, up 293.1% from $1.65 billion a year earlier and up 101.0% from the prior quarter.
Us Bancorp (USB) Long-Term Debt Repayments (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Long-Term Debt Repayments at Us Bancorp was $15.01 billion, up 140.5% year-over-year; for FY2025, it was $9.05 billion, up 49.8% from FY2024.
- Annual Long-Term Debt Repayments shows a five-year compound annual growth rate of -9.0% (FY2020 to FY2025).
- In prior years, Us Bancorp's Long-Term Debt Repayments was $6.04 billion in FY2024 (+47.9%), $4.08 billion in FY2023 (-41.0%), $6.93 billion in FY2022 (-39.4%) and $11.43 billion in FY2021 (-21.0%).
- The Q2 2026 figure stands as the highest quarterly Long-Term Debt Repayments since Q2 2020.
- On a year-over-year basis, Long-Term Debt Repayments increased in five of the last seven quarters, with growth averaging 49.9%.
- The strongest year-over-year quarter for Long-Term Debt Repayments in the past five years was Q3 2023, with growth of 827.0%; the weakest was Q2 2023, with a decline of 98.8%.
- According to Business Quant data, Long-Term Debt Repayments for the three prior quarters was $3.23 billion (Q1 2026), $2.68 billion (Q4 2025) and $2.62 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 | Us Bancorp | 90.01 Bn | 90.47 Bn | - | 6.48 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.48 Bn |
| Mar 31, 2026 | 3.23 Bn |
| Dec 31, 2025 | 2.68 Bn |
| Sep 30, 2025 | 2.62 Bn |
| Jun 30, 2025 | 1.65 Bn |
| Mar 31, 2025 | 2.10 Bn |
| Dec 31, 2024 | 126.00 Mn |
| Sep 30, 2024 | 2.36 Bn |
| Jun 30, 2024 | 1.38 Bn |
| Mar 31, 2024 | 2.17 Bn |
| Dec 31, 2023 | 178.00 Mn |
| Sep 30, 2023 | 2.26 Bn |
| Jun 30, 2023 | 50.00 Mn |
| Mar 31, 2023 | 1.59 Bn |
| Dec 31, 2022 | 1.53 Bn |
| Sep 30, 2022 | 244.00 Mn |
| Jun 30, 2022 | 4.04 Bn |
| Mar 31, 2022 | 1.12 Bn |
| Dec 31, 2021 | 4.83 Bn |
| Sep 30, 2021 | 675.00 Mn |
Us Bancorp 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=USB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "USB", "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=USB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();