Regions Financial (RF) EBITDA Margin (2010 - 2026)
Regions Financial (RF) posted EBITDA Margin of 63.61% for Q2 2026, down 2.01 percentage points from 65.62% a year earlier but up 0.02 percentage points from the prior quarter.
Regions Financial (RF) EBITDA Margin (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA Margin at Regions Financial was 64.19%, down 3.24 percentage points year-over-year; for FY2025, it was 65.23%, down 2.37 percentage points from FY2024.
- Annual EBITDA Margin shows a five-year change of +31.78 percentage points (FY2020 to FY2025).
- In prior years, Regions Financial's EBITDA Margin was 67.60% in FY2024 (+9.26 pp), 58.34% in FY2023 (+9.21 pp), 49.13% in FY2022 (-9.16 pp) and 58.29% in FY2021 (+24.84 pp).
- Quarterly EBITDA Margin has run from a low of 38.89% in Q3 2022 to a high of 71.75% in Q2 2024 over five years.
- On a year-over-year basis, EBITDA Margin has declined in each of the last five quarters, with an average year-over-year change of +0.63 percentage points over the last eight quarters.
- The strongest year-over-year quarter for EBITDA Margin in the past five years was Q3 2023, with a gain of 23.20 percentage points; the weakest was Q2 2022, with a drop of 22.68 percentage points.
- According to Business Quant data, EBITDA Margin for the three prior quarters was 63.59% (Q1 2026), 63.35% (Q4 2025) and 66.18% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 875.87 Bn | 905.35 Bn | - | 95.81% |
| 2 | Banco Santander Chile | 397.50 Bn | 517.44 Bn | - | - |
| 3 | Bank Of America | 375.67 Bn | -2,000.39 Bn | - | 95.10% |
| 4 | Hsbc Holdings | 321.90 Bn | 321.95 Bn | - | - |
| 5 | Morgan Stanley | 298.16 Bn | -210.93 Bn | - | 101.52% |
| 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 | - | 142.03% |
| 8 | Goldman Sachs | 258.52 Bn | -3,298.59 Bn | - | 133.57% |
| 9 | Wells Fargo & Company | 243.07 Bn | 245.20 Bn | - | 92.35% |
| 10 | Regions Financial | 22.74 Bn | 22.81 Bn | - | 63.61% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 63.61% |
| Mar 31, 2026 | 63.59% |
| Dec 31, 2025 | 63.35% |
| Sep 30, 2025 | 66.18% |
| Jun 30, 2025 | 65.62% |
| Mar 31, 2025 | 65.81% |
| Dec 31, 2024 | 68.87% |
| Sep 30, 2024 | 69.50% |
| Jun 30, 2024 | 71.75% |
| Mar 31, 2024 | 60.22% |
| Dec 31, 2023 | 57.65% |
| Sep 30, 2023 | 62.09% |
| Jun 30, 2023 | 58.61% |
| Mar 31, 2023 | 55.15% |
| Dec 31, 2022 | 54.57% |
| Sep 30, 2022 | 38.89% |
| Jun 30, 2022 | 50.51% |
| Mar 31, 2022 | 52.78% |
| Dec 31, 2021 | 40.15% |
| Sep 30, 2021 | 60.10% |
Regions Financial EBITDA Margin 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=ebitda-margin&ticker=RF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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=ebitda-margin&ticker=RF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();