Us Bancorp \De\ (USB) Maturities of HTM Securities (2010 - 2026)
Us Bancorp's Maturities of HTM Securities was $1.75 billion in Q3 2026, up 4.7% from $1.67 billion a year earlier but down 1.9% from the prior quarter.
Us Bancorp \De\ (USB) Maturities of HTM Securities (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Us Bancorp's Maturities of HTM Securities was $6.73 billion through Sep 30, 2026, down 1.5% year-over-year; for FY2025, it was $6.94 billion, up 12.6% from FY2024.
- Maturities of HTM Securities shows a four-year compound annual growth rate of 58.7% (FY2021 to FY2025).
- In earlier years, Maturities of HTM Securities was $6.16 billion in FY2024 (unchanged), $6.16 billion in FY2023 (+7.0%), $5.76 billion in FY2022 (+426.9%) and $1.09 billion in FY2021.
- Quarterly Maturities of HTM Securities has moved between $1.17 billion (Q1 2022) and $2.27 billion (Q2 2025) over five years.
- Compared with a year earlier, Maturities of HTM Securities was higher in six of the last eight quarters, with growth averaging 6.5%.
- The best year-over-year quarter for Maturities of HTM Securities over five years was Q2 2023 (growth of 36.0%); the worst was Q2 2026 (a decline of 21.3%).
- Per Business Quant data, USB's Maturities of HTM Securities in the three quarters before Q3 2026 was $1.78 billion (Q2 2026), $1.58 billion (Q1 2026) and $1.62 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Maturities of HTM Securities (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 920.14 Bn | 897.90 Bn | - | 7.99 Bn |
| 2 | Banco Santander Chile | 407.42 Bn | -7,109.68 Bn | - | - |
| 3 | Bank Of America | 353.20 Bn | -2,022.91 Bn | - | 9.10 Bn |
| 4 | Hsbc Holdings | 307.88 Bn | -2,967.28 Bn | - | - |
| 5 | Morgan Stanley | 298.41 Bn | -244.41 Bn | - | 1.15 Bn |
| 6 | Royal Bank Of Canada | 283.46 Bn | -546.54 Bn | - | - |
| 7 | Goldman Sachs | 264.45 Bn | -3,478.99 Bn | - | 3.83 Bn |
| 8 | Mitsubishi Ufj Financial | 259.19 Bn | -159.36 Bn | 5.24 Bn | - |
| 9 | Wells Fargo & Company | 258.28 Bn | 93.72 Bn | - | 6.03 Bn |
| 10 | Us Bancorp \De\ | 95.04 Bn | 95.50 Bn | - | 1.75 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.75 Bn |
| Jun 30, 2026 | 1.78 Bn |
| Mar 31, 2026 | 1.58 Bn |
| Dec 31, 2025 | 1.62 Bn |
| Sep 30, 2025 | 1.67 Bn |
| Jun 30, 2025 | 2.27 Bn |
| Mar 31, 2025 | 1.39 Bn |
| Dec 31, 2024 | 1.51 Bn |
| Sep 30, 2024 | 1.68 Bn |
| Jun 30, 2024 | 1.67 Bn |
| Mar 31, 2024 | 1.30 Bn |
| Dec 31, 2023 | 1.42 Bn |
| Sep 30, 2023 | 1.75 Bn |
| Jun 30, 2023 | 1.68 Bn |
| Mar 31, 2023 | 1.32 Bn |
| Dec 31, 2022 | 1.61 Bn |
| Sep 30, 2022 | 1.74 Bn |
| Jun 30, 2022 | 1.23 Bn |
| Mar 31, 2022 | 1.17 Bn |
| Mar 31, 2019 | 1.57 Bn |
Us Bancorp \De\ Maturities 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=maturities-of-htm-securities&ticker=USB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "maturities-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=maturities-of-htm-securities&ticker=USB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();