Us Bancorp \De\ (USB) Amortization - Intangibles (2009 - 2026)
Us Bancorp (USB) posted Amortization - Intangibles of $127 million for Q3 2026, up 1.6% from $125 million a year earlier and up 11.4% from the prior quarter.
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Analysis
Us Bancorp \De\ (USB) Amortization - Intangibles (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Amortization - Intangibles at Us Bancorp was $477 million, down 6.7% year-over-year; for FY2025, it was $498 million, down 12.5% from FY2024.
- Annual Amortization - Intangibles shows a five-year compound annual growth rate of 23.1% (FY2020 to FY2025).
- In prior years, Us Bancorp's Amortization - Intangibles was $569 million in FY2024 (-10.5%), $636 million in FY2023 (+195.8%), $215 million in FY2022 (+35.2%) and $159 million in FY2021 (-9.7%).
- The Q3 2026 figure stands as the highest quarterly Amortization - Intangibles since Q4 2024.
- On a year-over-year basis, Amortization - Intangibles increased in 1 of the last eight quarters, with an average decline of 9.7%.
- The strongest year-over-year quarter for Amortization - Intangibles in the past five years was Q2 2023, with growth of 297.5%; the weakest was Q1 2025, with a decline of 15.8%.
- According to Business Quant data, Amortization - Intangibles for the three prior quarters was $114 million (Q2 2026), $110 million (Q1 2026) and $126 million (Q4 2025).
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 | 127.00 Mn |
| Jun 30, 2026 | 114.00 Mn |
| Mar 31, 2026 | 110.00 Mn |
| Dec 31, 2025 | 126.00 Mn |
| Sep 30, 2025 | 125.00 Mn |
| Jun 30, 2025 | 124.00 Mn |
| Mar 31, 2025 | 123.00 Mn |
| Dec 31, 2024 | 139.00 Mn |
| Sep 30, 2024 | 142.00 Mn |
| Jun 30, 2024 | 142.00 Mn |
| Mar 31, 2024 | 146.00 Mn |
| Dec 31, 2023 | 156.00 Mn |
| Sep 30, 2023 | 161.00 Mn |
| Jun 30, 2023 | 159.00 Mn |
| Mar 31, 2023 | 160.00 Mn |
| Dec 31, 2022 | 85.00 Mn |
| Sep 30, 2022 | 43.00 Mn |
| Jun 30, 2022 | 40.00 Mn |
| Mar 31, 2022 | 47.00 Mn |
| Dec 31, 2021 | 40.00 Mn |
API Access
Us Bancorp \De\ Amortization - Intangibles 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=amortization-intangibles&ticker=USB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "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=amortization-intangibles&ticker=USB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();