Regions Financial (RF) Proceeds from Sales of Loans (2010 - 2026)
Regions Financial's Proceeds from Sales of Loans came in at $72 million for Q2 2026, down 57.6% from $170 million a year earlier but up 89.5% from the prior quarter.
Regions Financial (RF) Proceeds from Sales of Loans (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Regions Financial reported Proceeds from Sales of Loans of $675 million, up 108.3% year-over-year; for FY2025, it was $755 million, up 371.9% from FY2024.
- Proceeds from Sales of Loans carries a five-year compound annual growth rate of 24.1% (FY2020 to FY2025).
- Going back by year, Proceeds from Sales of Loans was $160 million in FY2024 (-67.0%), $485 million in FY2023 (-73.0%), $1.79 billion in FY2022 (+243.5%) and $522 million in FY2021 (+103.9%).
- The five-year range for quarterly Proceeds from Sales of Loans is $4 million (Q1 2024) to $1.26 billion (Q3 2022).
- Year-over-year, Proceeds from Sales of Loans increased in five of the last eight quarters, with growth averaging 214.8%.
- The fastest year-over-year change in Proceeds from Sales of Loans over five years came in Q2 2025 (growth of 672.7%), and the weakest in Q3 2023 (a decline of 93.9%).
- Business Quant data shows RF's Proceeds from Sales of Loans at $38 million (Q1 2026), $285 million (Q4 2025) and $280 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Loan Sales (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 896.53 Bn | 896.53 Bn | - | 16.33 Bn |
| 2 | Bank Of America | 354.20 Bn | -2,021.91 Bn | - | 2.45 Bn |
| 3 | Hsbc Holdings | 303.54 Bn | -1,800.05 Bn | - | - |
| 4 | Royal Bank Of Canada | 283.29 Bn | -546.75 Bn | - | - |
| 5 | Morgan Stanley | 281.19 Bn | -262.84 Bn | - | - |
| 6 | Goldman Sachs | 256.26 Bn | -3,487.19 Bn | - | - |
| 7 | Wells Fargo & Company | 253.33 Bn | 253.33 Bn | - | 1.94 Bn |
| 8 | Mitsubishi Ufj Financial | 238.77 Bn | -102.62 Bn | 10.89 Bn | - |
| 9 | American Express | 216.03 Bn | 15.51 Bn | - | - |
| 10 | Regions Financial | 24.19 Bn | 24.19 Bn | - | 72.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 72.00 Mn |
| Mar 31, 2026 | 38.00 Mn |
| Dec 31, 2025 | 285.00 Mn |
| Sep 30, 2025 | 280.00 Mn |
| Jun 30, 2025 | 170.00 Mn |
| Mar 31, 2025 | 20.00 Mn |
| Dec 31, 2024 | 87.00 Mn |
| Sep 30, 2024 | 47.00 Mn |
| Jun 30, 2024 | 22.00 Mn |
| Mar 31, 2024 | 4.00 Mn |
| Dec 31, 2023 | 301.00 Mn |
| Sep 30, 2023 | 77.00 Mn |
| Jun 30, 2023 | 64.00 Mn |
| Mar 31, 2023 | 43.00 Mn |
| Dec 31, 2022 | 75.00 Mn |
| Sep 30, 2022 | 1.26 Bn |
| Jun 30, 2022 | 95.00 Mn |
| Mar 31, 2022 | 366.00 Mn |
| Dec 31, 2021 | 86.00 Mn |
| Sep 30, 2021 | 233.00 Mn |
Regions Financial 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=RF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "proceeds-from-sales-of-loans", "ticker": "RF", "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=RF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();