Us Bancorp \De\ (USB) Gain (Loss) on Sale of Loans (2009 - 2026)
Us Bancorp (USB) recorded Gain (Loss) on Sale of Loans of $17 million in Q3 2026, down 78.2% from $78 million a year earlier and down 32.0% from the prior quarter.
Us Bancorp \De\ (USB) Gain (Loss) on Sale of Loans (2009 - 2026) Analysis & Trends
On a TTM basis, Us Bancorp's Gain (Loss) on Sale of Loans came in at $162 million as of Sep 30, 2026, down 52.1% year-over-year; for FY2025, it came in at $257 million, up 39.7% from FY2024.
- Annual Gain (Loss) on Sale of Loans has a five-year compound annual growth rate of -34.9% (FY2020 to FY2025).
- Across earlier years, Gain (Loss) on Sale of Loans came in at $184 million in FY2024, -$7 million in FY2023, -$387 million in FY2022 and $1.14 billion in FY2021 (-48.2%).
- The Q3 2026 figure is the lowest quarterly Gain (Loss) on Sale of Loans since Q3 2024.
- On a year-over-year basis, Gain (Loss) on Sale of Loans rose in four of the last seven quarters, with growth averaging 89.1%.
- Peak year-over-year performance for Gain (Loss) on Sale of Loans in the last five years was growth of 700.0% in Q4 2024, against a decline of 84.7% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $25 million (Q2 2026), $49 million (Q1 2026) and $71 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gain on Loan Sales (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 920.14 Bn | 897.90 Bn | - | 77.00 Mn |
| 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 | - | 61.00 Mn |
| 10 | Us Bancorp \De\ | 95.04 Bn | 95.50 Bn | - | 17.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 17.00 Mn |
| Jun 30, 2026 | 25.00 Mn |
| Mar 31, 2026 | 49.00 Mn |
| Dec 31, 2025 | 71.00 Mn |
| Sep 30, 2025 | 78.00 Mn |
| Jun 30, 2025 | 64.00 Mn |
| Mar 31, 2025 | 44.00 Mn |
| Dec 31, 2024 | 152.00 Mn |
| Sep 30, 2024 | -39.00 Mn |
| Jun 30, 2024 | 35.00 Mn |
| Mar 31, 2024 | 36.00 Mn |
| Dec 31, 2023 | 19.00 Mn |
| Sep 30, 2023 | -8.00 Mn |
| Jun 30, 2023 | -11.00 Mn |
| Mar 31, 2023 | -7.00 Mn |
| Dec 31, 2022 | -251.00 Mn |
| Sep 30, 2022 | 56.00 Mn |
| Jun 30, 2022 | -130.00 Mn |
| Mar 31, 2022 | -62.00 Mn |
| Dec 31, 2021 | 185.00 Mn |
Us Bancorp \De\ Gain (Loss) on Sale of Loans 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=gain-loss-on-sale-of-loans&ticker=USB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gain-loss-on-sale-of-loans", "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=gain-loss-on-sale-of-loans&ticker=USB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();