Us Bancorp \De\ (USB) Purchase of HTM Securities (2010 - 2026)
Us Bancorp (USB) posted Purchase of HTM Securities of $464 million for Q3 2026, down 21.5% from $591 million a year earlier but up 56.8% from the prior quarter.
Us Bancorp \De\ (USB) Purchase of HTM Securities (2010 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Purchase of HTM Securities at Us Bancorp was $2.27 billion, down 29.8% year-over-year; for FY2025, it came in at $3.96 billion.
- Annual Purchase of HTM Securities shows a four-year compound annual growth rate of 38.1% (FY2021 to FY2025).
- In prior years, Us Bancorp's Purchase of HTM Securities was $246 million in FY2024 (-73.6%), $932 million in FY2023 (-86.9%), $7.09 billion in FY2022 (+551.7%) and $1.09 billion in FY2021.
- Quarterly Purchase of HTM Securities has run from a low of $8 million in Q4 2023 to a high of $3.36 billion in Q2 2022 over five years.
- On a year-over-year basis, Purchase of HTM Securities increased in four of the last six quarters, with growth averaging 233.1%.
- The strongest year-over-year quarter for Purchase of HTM Securities in the past five years was Q3 2025, with growth of 744.3%; the weakest was Q4 2023, with a decline of 94.7%.
- According to Business Quant data, Purchase of HTM Securities for the three prior quarters was $296 million (Q2 2026), $763 million (Q1 2026) and $745 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Purchase of HTM Securities (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 920.14 Bn | 897.90 Bn | - | 14.11 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 | - | 294.00 Mn |
| 6 | Royal Bank Of Canada | 283.46 Bn | -546.54 Bn | - | - |
| 7 | Goldman Sachs | 264.45 Bn | -3,478.99 Bn | - | 4.66 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 | - | 464.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 464.00 Mn |
| Jun 30, 2026 | 296.00 Mn |
| Mar 31, 2026 | 763.00 Mn |
| Dec 31, 2025 | 745.00 Mn |
| Sep 30, 2025 | 591.00 Mn |
| Jun 30, 2025 | 1.98 Bn |
| Mar 31, 2025 | 644.00 Mn |
| Dec 31, 2024 | 20.00 Mn |
| Sep 30, 2024 | 70.00 Mn |
| Jun 30, 2024 | 63.00 Mn |
| Mar 31, 2024 | 93.00 Mn |
| Dec 31, 2023 | 8.00 Mn |
| Mar 31, 2023 | 924.00 Mn |
| Dec 31, 2022 | 150.00 Mn |
| Sep 30, 2022 | 653.00 Mn |
| Jun 30, 2022 | 3.36 Bn |
| Mar 31, 2022 | 2.93 Bn |
| Mar 31, 2019 | 1.82 Bn |
| Dec 31, 2018 | 1.56 Bn |
| Sep 30, 2018 | 1.80 Bn |
Us Bancorp \De\ Purchase of HTM Securities 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=purchase-of-htm-securities&ticker=USB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "purchase-of-htm-securities", "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=purchase-of-htm-securities&ticker=USB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();