Regions Financial (RF) Gain (Loss) on Sale of Loans (2009 - 2026)
Regions Financial's Gain (Loss) on Sale of Loans came in at $6 million for Q2 2026, down 57.1% from $14 million a year earlier and down 50.0% from the prior quarter.
Regions Financial (RF) Gain (Loss) on Sale of Loans (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Regions Financial reported Gain (Loss) on Sale of Loans of $79 million, up 68.1% year-over-year; for FY2025, it was $84 million, up 71.4% from FY2024.
- Gain (Loss) on Sale of Loans has increased in each of the last three years, though with a five-year compound annual growth rate of -19.0% (FY2020 to FY2025).
- Going back by year, Gain (Loss) on Sale of Loans was $49 million in FY2024 (+8.9%), $45 million in FY2023 (+50.0%), $30 million in FY2022 (-89.0%) and $273 million in FY2021 (+13.3%).
- The five-year range for quarterly Gain (Loss) on Sale of Loans is -$2 million (Q2 2022) to $79 million (Q4 2021).
- Year-over-year, Gain (Loss) on Sale of Loans increased in five of the last eight quarters, with growth averaging 67.4%.
- The fastest year-over-year change in Gain (Loss) on Sale of Loans over five years came in Q4 2025 (growth of 566.7%), and the weakest in Q4 2022 (a decline of 93.7%).
- Business Quant data shows RF's Gain (Loss) on Sale of Loans at $12 million (Q1 2026), $40 million (Q4 2025) and $21 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gain on Loan Sales (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 896.53 Bn | 896.53 Bn | - | 77.00 Mn |
| 2 | Bank Of America | 354.20 Bn | -2,021.91 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 | - | 61.00 Mn |
| 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 | - | 6.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.00 Mn |
| Mar 31, 2026 | 12.00 Mn |
| Dec 31, 2025 | 40.00 Mn |
| Sep 30, 2025 | 21.00 Mn |
| Jun 30, 2025 | 14.00 Mn |
| Mar 31, 2025 | 9.00 Mn |
| Dec 31, 2024 | 6.00 Mn |
| Sep 30, 2024 | 18.00 Mn |
| Jun 30, 2024 | 12.00 Mn |
| Mar 31, 2024 | 13.00 Mn |
| Dec 31, 2023 | 20.00 Mn |
| Sep 30, 2023 | 11.00 Mn |
| Jun 30, 2023 | 6.00 Mn |
| Mar 31, 2023 | 8.00 Mn |
| Dec 31, 2022 | 5.00 Mn |
| Sep 30, 2022 | 7.00 Mn |
| Jun 30, 2022 | -2.00 Mn |
| Mar 31, 2022 | 20.00 Mn |
| Dec 31, 2021 | 79.00 Mn |
| Sep 30, 2021 | 71.00 Mn |
Regions Financial 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=RF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gain-loss-on-sale-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=gain-loss-on-sale-of-loans&ticker=RF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();