Us Bancorp \De\ (USB) Loans - Net (2009 - 2026)
Us Bancorp's Loans - Net was $407.43 billion in Q3 2026, up 8.7% from $374.96 billion a year earlier and up 1.2% from the prior quarter.
Analysis
Us Bancorp \De\ (USB) Loans - Net (2009 - 2026) Analysis & Trends
At the end of FY2025, Loans - Net at Us Bancorp came in at $383.73 billion, up 3.1% from FY2024.
- Loans - Net shows a five-year compound annual growth rate of 5.7% (FY2020 to FY2025).
- In earlier years, Loans - Net was $372.25 billion in FY2024 (+1.6%), $366.46 billion in FY2023 (-3.9%), $381.28 billion in FY2022 (+24.5%) and $306.3 billion in FY2021 (+5.5%).
- The Q3 2026 figure marks the highest quarterly Loans - Net in data going back to Q1 2009.
- Compared with a year earlier, Loans - Net has increased for eight straight quarters, with growth averaging 3.9% over the last eight quarters.
- The best year-over-year quarter for Loans - Net over five years was Q4 2022 (growth of 24.5%); the worst was Q4 2023 (a decline of 3.9%).
- Per Business Quant data, USB's Loans - Net in the three quarters before Q3 2026 was $402.66 billion (Q2 2026), $392.15 billion (Q1 2026) and $383.73 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Loans - Net (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 920.14 Bn | 897.90 Bn | - | 1,558.37 Bn |
| 2 | Banco Santander Chile | 407.42 Bn | -7,109.68 Bn | - | - |
| 3 | Bank Of America | 353.20 Bn | -2,022.91 Bn | - | 1,238.26 Bn |
| 4 | Hsbc Holdings | 307.88 Bn | -2,967.28 Bn | - | 1,029.86 Bn |
| 5 | Morgan Stanley | 298.41 Bn | -244.41 Bn | - | 297.21 Bn |
| 6 | Royal Bank Of Canada | 283.46 Bn | -546.54 Bn | - | 791.32 Bn |
| 7 | Goldman Sachs | 264.45 Bn | -3,478.99 Bn | - | 275.65 Bn |
| 8 | Mitsubishi Ufj Financial | 259.19 Bn | -159.36 Bn | 5.24 Bn | - |
| 9 | Wells Fargo & Company | 258.28 Bn | 93.72 Bn | - | 1,034.29 Bn |
| 10 | Us Bancorp \De\ | 95.04 Bn | 95.50 Bn | - | 407.43 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 407.43 Bn |
| Jun 30, 2026 | 402.66 Bn |
| Mar 31, 2026 | 392.15 Bn |
| Dec 31, 2025 | 383.73 Bn |
| Sep 30, 2025 | 374.96 Bn |
| Jun 30, 2025 | 372.71 Bn |
| Mar 31, 2025 | 374.24 Bn |
| Dec 31, 2024 | 372.25 Bn |
| Sep 30, 2024 | 366.60 Bn |
| Jun 30, 2024 | 368.58 Bn |
| Mar 31, 2024 | 367.07 Bn |
| Dec 31, 2023 | 366.46 Bn |
| Sep 30, 2023 | 368.02 Bn |
| Jun 30, 2023 | 372.26 Bn |
| Mar 31, 2023 | 380.85 Bn |
| Dec 31, 2022 | 381.28 Bn |
| Sep 30, 2022 | 336.69 Bn |
| Jun 30, 2022 | 326.54 Bn |
| Mar 31, 2022 | 313.27 Bn |
| Dec 31, 2021 | 306.30 Bn |
API Access
Us Bancorp \De\ Loans - Net 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=loans-net&ticker=USB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "loans-net", "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=loans-net&ticker=USB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();