Us Bancorp (USB) Amortization - Intangibles (2009 - 2026)
Us Bancorp (USB) posted Amortization - Intangibles of $114 million for Q2 2026, down 8.1% from $124 million a year earlier but up 3.6% from the prior quarter.
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Analysis
Us Bancorp (USB) Amortization - Intangibles (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Amortization - Intangibles at Us Bancorp was $475 million, down 10.0% 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%).
- Quarterly Amortization - Intangibles has run from a low of $40 million in Q4 2021 to a high of $161 million in Q3 2023 over five years.
- On a year-over-year basis, Amortization - Intangibles has declined in each of the last ten quarters, with an average decline of 11.4% over the last eight quarters.
- 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 $110 million (Q1 2026), $126 million (Q4 2025) and $125 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - |
| 10 | Us Bancorp | 90.01 Bn | 90.47 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 41.00 Mn |
API Access
Us Bancorp 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();