Regions Financial (RF) Revenue (2009 - 2026)
Regions Financial (RF) posted Revenue of $1.91 billion for Q2 2026, up 0.1% from $1.91 billion a year earlier and up 1.8% from the prior quarter.
Regions Financial (RF) Revenue (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Revenue at Regions Financial was $7.62 billion, up 4.4% year-over-year; for FY2025, it was $7.53 billion, up 6.3% from FY2024.
- Annual Revenue shows a five-year compound annual growth rate of 3.7% (FY2020 to FY2025).
- In prior years, Regions Financial's Revenue was $7.08 billion in FY2024 (-6.5%), $7.58 billion in FY2023 (+5.0%), $7.22 billion in FY2022 (+12.1%) and $6.44 billion in FY2021 (+2.4%).
- Quarterly Revenue has run from a low of $1.6 billion in Q1 2022 to a high of $2 billion in Q4 2022 over five years.
- On a year-over-year basis, Revenue has increased in each of the last seven quarters, with growth averaging 3.3% over the last eight quarters.
- The strongest year-over-year quarter for Revenue in the past five years was Q4 2022, with growth of 22.5%; the weakest was Q2 2024, with a decline of 11.5%.
- According to Business Quant data, Revenue for the three prior quarters was $1.87 billion (Q1 2026), $1.92 billion (Q4 2025) and $1.92 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 875.87 Bn | 905.35 Bn | - | 57.35 Bn |
| 2 | Banco Santander Chile | 397.50 Bn | 517.44 Bn | - | - |
| 3 | Bank Of America | 375.67 Bn | -2,000.39 Bn | - | 31.56 Bn |
| 4 | Hsbc Holdings | 321.90 Bn | 321.95 Bn | - | - |
| 5 | Morgan Stanley | 298.16 Bn | -210.93 Bn | - | 21.35 Bn |
| 6 | Mitsubishi Ufj Financial | 268.92 Bn | -1,319.57 Bn | 10.89 Bn | - |
| 7 | Royal Bank Of Canada | 267.86 Bn | 118.60 Bn | - | 13.30 Bn |
| 8 | Goldman Sachs | 258.52 Bn | -3,298.59 Bn | - | 20.34 Bn |
| 9 | Wells Fargo & Company | 243.07 Bn | 245.20 Bn | - | 22.62 Bn |
| 10 | Regions Financial | 22.74 Bn | 22.81 Bn | - | 1.91 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.91 Bn |
| Mar 31, 2026 | 1.87 Bn |
| Dec 31, 2025 | 1.92 Bn |
| Sep 30, 2025 | 1.92 Bn |
| Jun 30, 2025 | 1.91 Bn |
| Mar 31, 2025 | 1.78 Bn |
| Dec 31, 2024 | 1.82 Bn |
| Sep 30, 2024 | 1.79 Bn |
| Jun 30, 2024 | 1.73 Bn |
| Mar 31, 2024 | 1.75 Bn |
| Dec 31, 2023 | 1.81 Bn |
| Sep 30, 2023 | 1.86 Bn |
| Jun 30, 2023 | 1.96 Bn |
| Mar 31, 2023 | 1.95 Bn |
| Dec 31, 2022 | 2.00 Bn |
| Sep 30, 2022 | 1.87 Bn |
| Jun 30, 2022 | 1.75 Bn |
| Mar 31, 2022 | 1.60 Bn |
| Dec 31, 2021 | 1.63 Bn |
| Sep 30, 2021 | 1.61 Bn |
Regions Financial Revenue 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=revenue&ticker=RF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=RF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();