Us Bancorp \De\ (USB) Total Liabilities (2009 - 2026)
Us Bancorp (USB) recorded Total Liabilities of $636.08 billion in Q3 2026, up 0.7% from $631.56 billion a year earlier but down 3.3% from the prior quarter.
Us Bancorp \De\ (USB) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Us Bancorp reported Total Liabilities of $626.69 billion, up 1.2% from FY2024.
- Annual Total Liabilities has a five-year compound annual growth rate of 4.6% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $619.28 billion in FY2024 (+1.9%), $607.72 billion in FY2023 (-2.5%), $623.57 billion in FY2022 (+20.4%) and $517.9 billion in FY2021 (+3.5%).
- Quarterly Total Liabilities has ranged from $517.9 billion in Q4 2021 to $658.02 billion in Q2 2026 over the past five years.
- On a year-over-year basis, Total Liabilities has increased for six consecutive quarters, with growth averaging 1.4% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 20.4% in Q4 2022, against a decline of 2.5% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $658.02 billion (Q2 2026), $634.75 billion (Q1 2026) and $626.69 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 920.14 Bn | 897.90 Bn | - | 4,719.18 Bn |
| 2 | Banco Santander Chile | 407.42 Bn | -7,109.68 Bn | - | 69.48 Bn |
| 3 | Bank Of America | 353.20 Bn | -2,022.91 Bn | - | 3,130.96 Bn |
| 4 | Hsbc Holdings | 307.88 Bn | -2,967.28 Bn | - | 3,248.55 Bn |
| 5 | Morgan Stanley | 298.41 Bn | -244.41 Bn | - | 1,573.71 Bn |
| 6 | Royal Bank Of Canada | 283.46 Bn | -546.54 Bn | - | 1,679.93 Bn |
| 7 | Goldman Sachs | 264.45 Bn | -3,478.99 Bn | - | 2,055.50 Bn |
| 8 | Mitsubishi Ufj Financial | 259.19 Bn | -159.36 Bn | 5.24 Bn | 2,692.98 Bn |
| 9 | Wells Fargo & Company | 258.28 Bn | 93.72 Bn | - | 2,075.41 Bn |
| 10 | Us Bancorp \De\ | 95.04 Bn | 95.50 Bn | - | 636.08 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 636.08 Bn |
| Jun 30, 2026 | 658.02 Bn |
| Mar 31, 2026 | 634.75 Bn |
| Dec 31, 2025 | 626.69 Bn |
| Sep 30, 2025 | 631.56 Bn |
| Jun 30, 2025 | 624.47 Bn |
| Mar 31, 2025 | 615.93 Bn |
| Dec 31, 2024 | 619.28 Bn |
| Sep 30, 2024 | 627.15 Bn |
| Jun 30, 2024 | 623.17 Bn |
| Mar 31, 2024 | 627.57 Bn |
| Dec 31, 2023 | 607.72 Bn |
| Sep 30, 2023 | 614.46 Bn |
| Jun 30, 2023 | 627.34 Bn |
| Mar 31, 2023 | 628.92 Bn |
| Dec 31, 2022 | 623.57 Bn |
| Sep 30, 2022 | 553.00 Bn |
| Jun 30, 2022 | 542.31 Bn |
| Mar 31, 2022 | 534.85 Bn |
| Dec 31, 2021 | 517.90 Bn |
Us Bancorp \De\ Total Liabilities 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=total-liabilities&ticker=USB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=USB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();