Us Bancorp \De\ (USB) Long-Term Debt (2009 - 2026)
Us Bancorp (USB) posted Long-Term Debt of $52 billion for Q3 2026, down 16.9% from $62.54 billion a year earlier and down 11.4% from the prior quarter.
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Analysis
Us Bancorp \De\ (USB) Long-Term Debt (2009 - 2026) Analysis & Trends
At the end of FY2025, Us Bancorp's Long-Term Debt came in at $60.76 billion, up 4.8% from FY2024.
- Annual Long-Term Debt has increased for four consecutive years, with a five-year compound annual growth rate of 8.0% (FY2020 to FY2025).
- In prior years, Us Bancorp's Long-Term Debt was $58 billion in FY2024 (+12.7%), $51.48 billion in FY2023 (+29.3%), $39.83 billion in FY2022 (+24.0%) and $32.13 billion in FY2021 (-22.2%).
- The Q3 2026 figure stands as the lowest quarterly Long-Term Debt since Q4 2023.
- On a year-over-year basis, Long-Term Debt increased in six of the last eight quarters, with growth averaging 5.5%.
- The strongest year-over-year quarter for Long-Term Debt in the past five years was Q2 2023, with growth of 54.0%; the weakest was Q4 2021, with a decline of 22.2%.
- According to Business Quant data, Long-Term Debt for the three prior quarters was $58.67 billion (Q2 2026), $61.36 billion (Q1 2026) and $60.76 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Long-Term Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 920.14 Bn | 897.90 Bn | - | 460.16 Bn |
| 2 | Banco Santander Chile | 407.42 Bn | -7,109.68 Bn | - | 3,598.37 Bn |
| 3 | Bank Of America | 353.20 Bn | -2,022.91 Bn | - | 318.69 Bn |
| 4 | Hsbc Holdings | 307.88 Bn | -2,967.28 Bn | - | - |
| 5 | Morgan Stanley | 298.41 Bn | -244.41 Bn | - | - |
| 6 | Royal Bank Of Canada | 283.46 Bn | -546.54 Bn | - | - |
| 7 | Goldman Sachs | 264.45 Bn | -3,478.99 Bn | - | 298.00 Mn |
| 8 | Mitsubishi Ufj Financial | 259.19 Bn | -159.36 Bn | 5.24 Bn | - |
| 9 | Wells Fargo & Company | 258.28 Bn | 93.72 Bn | - | 182.85 Bn |
| 10 | Us Bancorp \De\ | 95.04 Bn | 95.50 Bn | - | 52.00 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 52.00 Bn |
| Jun 30, 2026 | 58.67 Bn |
| Mar 31, 2026 | 61.36 Bn |
| Dec 31, 2025 | 60.76 Bn |
| Sep 30, 2025 | 62.54 Bn |
| Jun 30, 2025 | 64.01 Bn |
| Mar 31, 2025 | 59.86 Bn |
| Dec 31, 2024 | 58.00 Bn |
| Sep 30, 2024 | 54.84 Bn |
| Jun 30, 2024 | 52.72 Bn |
| Mar 31, 2024 | 52.69 Bn |
| Dec 31, 2023 | 51.48 Bn |
| Sep 30, 2023 | 43.07 Bn |
| Jun 30, 2023 | 45.28 Bn |
| Mar 31, 2023 | 42.05 Bn |
| Dec 31, 2022 | 39.83 Bn |
| Sep 30, 2022 | 32.23 Bn |
| Jun 30, 2022 | 29.41 Bn |
| Mar 31, 2022 | 32.93 Bn |
| Dec 31, 2021 | 32.13 Bn |
API Access
Us Bancorp \De\ Long-Term Debt 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&ticker=USB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt", "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&ticker=USB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();