Us Bancorp \De\ (USB) Cash Due from Bank (2009 - 2026)
Us Bancorp (USB) recorded Cash Due from Bank of $49.52 billion in Q3 2026, down 25.7% from $66.64 billion a year earlier and down 25.5% from the prior quarter.
Us Bancorp \De\ (USB) Cash Due from Bank (2009 - 2026) Analysis & Trends
At the end of FY2025, Us Bancorp reported Cash Due from Bank of $46.89 billion, down 17.0% from FY2024.
- Annual Cash Due from Bank has a five-year compound annual growth rate of -5.6% (FY2020 to FY2025).
- Across earlier years, Cash Due from Bank came in at $56.5 billion in FY2024 (-7.7%), $61.19 billion in FY2023 (+14.3%), $53.54 billion in FY2022 (+85.2%) and $28.91 billion in FY2021 (-53.8%).
- Quarterly Cash Due from Bank has ranged from $28.91 billion in Q4 2021 to $76.99 billion in Q1 2024 over the past five years.
- On a year-over-year basis, Cash Due from Bank rose in 1 of the last eight quarters, with an average decline of 11.9%.
- Peak year-over-year performance for Cash Due from Bank in the last five years was growth of 85.2% in Q4 2022, against a decline of 53.8% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $66.49 billion (Q2 2026), $48.42 billion (Q1 2026) and $46.89 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash Due from Bank (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 920.14 Bn | 897.90 Bn | - | 21.26 Bn |
| 2 | Banco Santander Chile | 407.42 Bn | -7,109.68 Bn | - | - |
| 3 | Bank Of America | 353.20 Bn | -2,022.91 Bn | - | 26.91 Bn |
| 4 | Hsbc Holdings | 307.88 Bn | -2,967.28 Bn | - | 94.56 Bn |
| 5 | Morgan Stanley | 298.41 Bn | -244.41 Bn | - | - |
| 6 | Royal Bank Of Canada | 283.46 Bn | -546.54 Bn | - | 45.78 Bn |
| 7 | Goldman Sachs | 264.45 Bn | -3,478.99 Bn | - | - |
| 8 | Mitsubishi Ufj Financial | 259.19 Bn | -159.36 Bn | 5.24 Bn | 484.50 Bn |
| 9 | Wells Fargo & Company | 258.28 Bn | 93.72 Bn | - | 40.56 Bn |
| 10 | Us Bancorp \De\ | 95.04 Bn | 95.50 Bn | - | 49.52 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 49.52 Bn |
| Jun 30, 2026 | 66.49 Bn |
| Mar 31, 2026 | 48.42 Bn |
| Dec 31, 2025 | 46.89 Bn |
| Sep 30, 2025 | 66.64 Bn |
| Jun 30, 2025 | 57.81 Bn |
| Mar 31, 2025 | 50.01 Bn |
| Dec 31, 2024 | 56.50 Bn |
| Sep 30, 2024 | 73.56 Bn |
| Jun 30, 2024 | 65.83 Bn |
| Mar 31, 2024 | 76.99 Bn |
| Dec 31, 2023 | 61.19 Bn |
| Sep 30, 2023 | 64.35 Bn |
| Jun 30, 2023 | 70.64 Bn |
| Mar 31, 2023 | 67.23 Bn |
| Dec 31, 2022 | 53.54 Bn |
| Sep 30, 2022 | 41.65 Bn |
| Jun 30, 2022 | 39.12 Bn |
| Mar 31, 2022 | 44.30 Bn |
| Dec 31, 2021 | 28.91 Bn |
Us Bancorp \De\ Cash Due from Bank 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-due-from-bank&ticker=USB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-due-from-bank", "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-due-from-bank&ticker=USB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();