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.
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Analysis
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 +44.57 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 (+37.64 pp).
- Quarterly EBITDA Margin has run from a low of 32.29% in Q1 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 Q4 2021, with a drop of 10.45 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 Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 905.34 Bn | 905.34 Bn | - | 97.78% |
| 2 | Bank Of America | 358.56 Bn | -2,017.55 Bn | - | 91.48% |
| 3 | Hsbc Holdings | 307.13 Bn | -1,796.46 Bn | - | - |
| 4 | Royal Bank Of Canada | 287.97 Bn | -542.07 Bn | - | 139.87% |
| 5 | Morgan Stanley | 284.27 Bn | -224.82 Bn | - | 101.52% |
| 6 | Goldman Sachs | 257.96 Bn | -3,485.49 Bn | - | 142.21% |
| 7 | Wells Fargo & Company | 256.22 Bn | 256.22 Bn | - | 92.97% |
| 8 | Mitsubishi Ufj Financial | 241.27 Bn | -100.12 Bn | 10.89 Bn | - |
| 9 | American Express | 219.29 Bn | 18.77 Bn | - | 34.61% |
| 10 | Regions Financial | 24.32 Bn | 24.32 Bn | - | 63.61% |
Historic Data
Download Data
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 | 32.29% |
| Dec 31, 2021 | 40.15% |
| Sep 30, 2021 | 37.61% |
API Access
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_KEYimport 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();