Us Bancorp \De\ (USB) Other Accumulated Expenses (2010 - 2026)
Us Bancorp's Other Accumulated Expenses came in at $41.59 billion for Q3 2026, up 35.9% from $30.59 billion a year earlier and up 6.4% from the prior quarter.
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Analysis
Us Bancorp \De\ (USB) Other Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025, Us Bancorp's Other Accumulated Expenses was $38.03 billion, up 25.3% from FY2024.
- Other Accumulated Expenses has increased in each of the last five years, with a five-year compound annual growth rate of 11.2% (FY2020 to FY2025).
- Going back by year, Other Accumulated Expenses was $30.35 billion in FY2024 (+6.3%), $28.56 billion in FY2023 (+8.6%), $26.3 billion in FY2022 (+16.9%) and $22.5 billion in FY2021 (+0.7%).
- The Q3 2026 figure represents the highest quarterly Other Accumulated Expenses in data going back to Q3 2010.
- Year-over-year, Other Accumulated Expenses has increased for 22 consecutive quarters, with growth averaging 17.7% over the last eight quarters.
- The year-over-year growth in Other Accumulated Expenses has ranged between 0.7% (Q4 2021) and 35.9% (Q3 2026) over the last five years.
- Business Quant data shows USB's Other Accumulated Expenses at $39.08 billion (Q2 2026), $37.65 billion (Q1 2026) and $38.03 billion (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 920.14 Bn | 897.90 Bn | - |
| 2 | Banco Santander Chile | 407.42 Bn | -7,109.68 Bn | - |
| 3 | Bank Of America | 353.20 Bn | -2,022.91 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 | - |
| 8 | Mitsubishi Ufj Financial | 259.19 Bn | -159.36 Bn | 5.24 Bn |
| 9 | Wells Fargo & Company | 258.28 Bn | 93.72 Bn | - |
| 10 | Us Bancorp \De\ | 95.04 Bn | 95.50 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 41.59 Bn |
| Jun 30, 2026 | 39.08 Bn |
| Mar 31, 2026 | 37.65 Bn |
| Dec 31, 2025 | 38.03 Bn |
| Sep 30, 2025 | 30.59 Bn |
| Jun 30, 2025 | 30.02 Bn |
| Mar 31, 2025 | 29.22 Bn |
| Dec 31, 2024 | 30.35 Bn |
| Sep 30, 2024 | 29.04 Bn |
| Jun 30, 2024 | 28.72 Bn |
| Mar 31, 2024 | 27.84 Bn |
| Dec 31, 2023 | 28.56 Bn |
| Sep 30, 2023 | 27.08 Bn |
| Jun 30, 2023 | 26.63 Bn |
| Mar 31, 2023 | 25.49 Bn |
| Dec 31, 2022 | 26.30 Bn |
| Sep 30, 2022 | 24.54 Bn |
| Jun 30, 2022 | 23.70 Bn |
| Mar 31, 2022 | 22.16 Bn |
| Dec 31, 2021 | 22.50 Bn |
API Access
Us Bancorp \De\ Other Accumulated 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=other-accumulated-expenses&ticker=USB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=USB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();