Us Bancorp \De\ (USB) Proceeds from Sales of Loans (2009 - 2026)
Us Bancorp (USB) recorded Proceeds from Sales of Loans of $116 million in Q3 2026, down 5.7% from $123 million a year earlier and down 59.7% from the prior quarter.
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Analysis
Us Bancorp \De\ (USB) Proceeds from Sales of Loans (2009 - 2026) Analysis & Trends
On a TTM basis, Us Bancorp's Proceeds from Sales of Loans came in at $704 million as of Sep 30, 2026, down 89.9% year-over-year; for FY2025, it came in at $6.8 billion, up 953.8% from FY2024.
- Annual Proceeds from Sales of Loans has a five-year compound annual growth rate of 24.7% (FY2020 to FY2025).
- Across earlier years, Proceeds from Sales of Loans came in at $645 million in FY2024 (-88.7%), $5.71 billion in FY2023 (+29.1%), $4.42 billion in FY2022 (-28.5%) and $6.18 billion in FY2021 (+174.8%).
- The Q3 2026 figure is the lowest quarterly Proceeds from Sales of Loans since Q3 2024.
- On a year-over-year basis, Proceeds from Sales of Loans has declined for four consecutive quarters, with growth averaging 11.1% over the last six quarters.
- Peak year-over-year performance for Proceeds from Sales of Loans in the last five years was growth of 261.2% in Q4 2024, against a decline of 95.6% in Q2 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $288 million (Q2 2026), $144 million (Q1 2026) and $156 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Loan Sales (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 920.14 Bn | 897.90 Bn | - | 16.33 Bn |
| 2 | Banco Santander Chile | 407.42 Bn | -7,109.68 Bn | - | - |
| 3 | Bank Of America | 353.20 Bn | -2,022.91 Bn | - | 2.45 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 | - | 1.94 Bn |
| 10 | Us Bancorp \De\ | 95.04 Bn | 95.50 Bn | - | 116.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 116.00 Mn |
| Jun 30, 2026 | 288.00 Mn |
| Mar 31, 2026 | 144.00 Mn |
| Dec 31, 2025 | 156.00 Mn |
| Sep 30, 2025 | 123.00 Mn |
| Jun 30, 2025 | 5.75 Bn |
| Mar 31, 2025 | 766.00 Mn |
| Dec 31, 2024 | 307.00 Mn |
| Sep 30, 2024 | 90.00 Mn |
| Jun 30, 2024 | 212.00 Mn |
| Mar 31, 2024 | 36.00 Mn |
| Dec 31, 2023 | 85.00 Mn |
| Sep 30, 2023 | 517.00 Mn |
| Jun 30, 2023 | 4.85 Bn |
| Mar 31, 2023 | 257.00 Mn |
| Dec 31, 2022 | 1.37 Bn |
| Sep 30, 2022 | 1.38 Bn |
| Jun 30, 2022 | 362.00 Mn |
| Mar 31, 2022 | 1.31 Bn |
| Dec 31, 2021 | 1.96 Bn |
API Access
Us Bancorp \De\ Proceeds from Sales 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=proceeds-from-sales-of-loans&ticker=USB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "proceeds-from-sales-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=proceeds-from-sales-of-loans&ticker=USB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();