Us Bancorp \De\ (USB) Cash from Operations (2009 - 2026)
Us Bancorp's Cash from Operations was $3.8 billion in Q3 2026, up 12.2% from $3.39 billion a year earlier but down 21.1% from the prior quarter.
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Analysis
Us Bancorp \De\ (USB) Cash from Operations (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Us Bancorp's Cash from Operations was $12.94 billion through Sep 30, 2026, up 31.5% year-over-year; for FY2025, it came in at $7.97 billion, down 29.8% from FY2024.
- Cash from Operations shows a five-year compound annual growth rate of 16.5% (FY2020 to FY2025).
- In earlier years, Cash from Operations was $11.35 billion in FY2024 (+35.2%), $8.39 billion in FY2023 (-60.3%), $21.12 billion in FY2022 (+114.0%) and $9.87 billion in FY2021 (+165.6%).
- Quarterly Cash from Operations has moved between -$308 million (Q1 2025) and $8.48 billion (Q1 2022) over five years.
- Compared with a year earlier, Cash from Operations was higher in three of the last five quarters, with growth averaging 68.2%.
- The best year-over-year quarter for Cash from Operations over five years was Q4 2022 (growth of 879.8%); the worst was Q4 2023 (a decline of 94.7%).
- Per Business Quant data, USB's Cash from Operations in the three quarters before Q3 2026 was $4.82 billion (Q2 2026), $1.34 billion (Q1 2026) and $2.98 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 920.14 Bn | 897.90 Bn | - | 33.16 Bn |
| 2 | Banco Santander Chile | 407.42 Bn | -7,109.68 Bn | - | - |
| 3 | Bank Of America | 353.20 Bn | -2,022.91 Bn | - | -6.50 Bn |
| 4 | Hsbc Holdings | 307.88 Bn | -2,967.28 Bn | - | - |
| 5 | Morgan Stanley | 298.41 Bn | -244.41 Bn | - | -46.02 Bn |
| 6 | Royal Bank Of Canada | 283.46 Bn | -546.54 Bn | - | 25.17 Bn |
| 7 | Goldman Sachs | 264.45 Bn | -3,478.99 Bn | - | 4.18 Bn |
| 8 | Mitsubishi Ufj Financial | 259.19 Bn | -159.36 Bn | 5.24 Bn | - |
| 9 | Wells Fargo & Company | 258.28 Bn | 93.72 Bn | - | 8.87 Bn |
| 10 | Us Bancorp \De\ | 95.04 Bn | 95.50 Bn | - | 3.80 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 3.80 Bn |
| Jun 30, 2026 | 4.82 Bn |
| Mar 31, 2026 | 1.34 Bn |
| Dec 31, 2025 | 2.98 Bn |
| Sep 30, 2025 | 3.39 Bn |
| Jun 30, 2025 | 1.91 Bn |
| Mar 31, 2025 | -308.00 Mn |
| Dec 31, 2024 | 4.84 Bn |
| Sep 30, 2024 | 972.00 Mn |
| Jun 30, 2024 | 2.87 Bn |
| Mar 31, 2024 | 2.66 Bn |
| Dec 31, 2023 | 362.00 Mn |
| Sep 30, 2023 | 3.87 Bn |
| Jun 30, 2023 | 3.32 Bn |
| Mar 31, 2023 | 842.00 Mn |
| Dec 31, 2022 | 6.89 Bn |
| Sep 30, 2022 | 3.51 Bn |
| Jun 30, 2022 | 2.25 Bn |
| Mar 31, 2022 | 8.48 Bn |
| Dec 31, 2021 | 703.00 Mn |
API Access
Us Bancorp \De\ Cash from Operations 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=cash-from-operations&ticker=USB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=USB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();