Regions Financial (RF) Retained Earnings (2009 - 2026)
Regions Financial (RF) recorded Retained Earnings of $10.84 billion in Q2 2026, up 12.8% from $9.61 billion a year earlier and up 3.1% from the prior quarter.
Regions Financial (RF) Retained Earnings (2009 - 2026) Analysis & Trends
At the end of FY2025, Regions Financial reported Retained Earnings of $10.21 billion, up 12.6% from FY2024.
- Annual Retained Earnings has increased for nine straight years, with a five-year compound annual growth rate of 22.0% (FY2020 to FY2025).
- Across earlier years, Retained Earnings came in at $9.06 billion in FY2024 (+10.7%), $8.19 billion in FY2023 (+16.9%), $7 billion in FY2022 (+26.2%) and $5.55 billion in FY2021 (+47.2%).
- The Q2 2026 figure is the highest quarterly Retained Earnings in data going back to Q4 2009.
- On a year-over-year basis, Retained Earnings has increased for 23 consecutive quarters, with growth averaging 12.0% over the last eight quarters.
- The year-over-year growth in Retained Earnings has ranged between 9.2% (Q3 2024) and 59.0% (Q3 2021) over the last five years.
- Per Business Quant, the preceding three quarters came in at $10.52 billion (Q1 2026), $10.21 billion (Q4 2025) and $9.92 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 905.34 Bn | 905.34 Bn | - | 455.59 Bn |
| 2 | Bank Of America | 358.56 Bn | -2,017.55 Bn | - | 278.81 Bn |
| 3 | Hsbc Holdings | 307.13 Bn | -1,796.46 Bn | - | - |
| 4 | Royal Bank Of Canada | 287.97 Bn | -542.07 Bn | - | 73.85 Bn |
| 5 | Morgan Stanley | 284.27 Bn | -224.82 Bn | - | 122.77 Bn |
| 6 | Goldman Sachs | 257.96 Bn | -3,485.49 Bn | - | 177.98 Bn |
| 7 | Wells Fargo & Company | 256.22 Bn | 256.22 Bn | - | 241.40 Bn |
| 8 | Mitsubishi Ufj Financial | 241.27 Bn | -100.12 Bn | 10.89 Bn | 101.18 Bn |
| 9 | American Express | 219.29 Bn | 18.77 Bn | - | 27.89 Bn |
| 10 | Regions Financial | 24.32 Bn | 24.32 Bn | - | 10.84 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.84 Bn |
| Mar 31, 2026 | 10.52 Bn |
| Dec 31, 2025 | 10.21 Bn |
| Sep 30, 2025 | 9.92 Bn |
| Jun 30, 2025 | 9.61 Bn |
| Mar 31, 2025 | 9.30 Bn |
| Dec 31, 2024 | 9.06 Bn |
| Sep 30, 2024 | 8.78 Bn |
| Jun 30, 2024 | 8.56 Bn |
| Mar 31, 2024 | 8.30 Bn |
| Dec 31, 2023 | 8.19 Bn |
| Sep 30, 2023 | 8.04 Bn |
| Jun 30, 2023 | 7.80 Bn |
| Mar 31, 2023 | 7.43 Bn |
| Dec 31, 2022 | 7.00 Bn |
| Sep 30, 2022 | 6.53 Bn |
| Jun 30, 2022 | 6.31 Bn |
| Mar 31, 2022 | 5.92 Bn |
| Dec 31, 2021 | 5.55 Bn |
| Sep 30, 2021 | 5.30 Bn |
Regions Financial Retained Earnings 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=retained-earnings&ticker=RF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=RF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();