Regions Financial (RF) EBITDA (2010 - 2026)
Regions Financial's EBITDA came in at $1.21 billion for Q2 2026, down 3.0% from $1.25 billion a year earlier but up 1.8% from the prior quarter.
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Analysis
Regions Financial (RF) EBITDA (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Regions Financial reported EBITDA of $4.89 billion, down 0.6% year-over-year; for FY2025, it came in at $4.91 billion, up 2.5% from FY2024.
- EBITDA has increased in each of the last three years, with a five-year compound annual growth rate of 18.5% (FY2020 to FY2025).
- Going back by year, EBITDA was $4.79 billion in FY2024 (+8.3%), $4.42 billion in FY2023 (+24.7%), $3.55 billion in FY2022 (-5.5%) and $3.75 billion in FY2021 (+78.5%).
- The five-year range for quarterly EBITDA is $656 million (Q4 2021) to $1.27 billion (Q3 2025).
- Year-over-year, EBITDA increased in six of the last eight quarters, with growth averaging 4.7%.
- The fastest year-over-year change in EBITDA over five years came in Q4 2022 (growth of 66.5%), and the weakest in Q3 2022 (a decline of 25.2%).
- Business Quant data shows RF's EBITDA at $1.19 billion (Q1 2026), $1.22 billion (Q4 2025) and $1.27 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 875.87 Bn | 905.35 Bn | - | 54.95 Bn |
| 2 | Banco Santander Chile | 397.50 Bn | 517.44 Bn | - | -1,174.27 Bn |
| 3 | Bank Of America | 375.67 Bn | -2,000.39 Bn | - | 30.01 Bn |
| 4 | Hsbc Holdings | 321.90 Bn | 321.95 Bn | - | - |
| 5 | Morgan Stanley | 298.16 Bn | -210.93 Bn | - | 21.67 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 | - | 18.88 Bn |
| 8 | Goldman Sachs | 258.52 Bn | -3,298.59 Bn | - | 27.17 Bn |
| 9 | Wells Fargo & Company | 243.07 Bn | 245.20 Bn | - | 20.89 Bn |
| 10 | Regions Financial | 22.74 Bn | 22.81 Bn | - | 1.21 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.21 Bn |
| Mar 31, 2026 | 1.19 Bn |
| Dec 31, 2025 | 1.22 Bn |
| Sep 30, 2025 | 1.27 Bn |
| Jun 30, 2025 | 1.25 Bn |
| Mar 31, 2025 | 1.17 Bn |
| Dec 31, 2024 | 1.25 Bn |
| Sep 30, 2024 | 1.24 Bn |
| Jun 30, 2024 | 1.24 Bn |
| Mar 31, 2024 | 1.05 Bn |
| Dec 31, 2023 | 1.04 Bn |
| Sep 30, 2023 | 1.15 Bn |
| Jun 30, 2023 | 1.15 Bn |
| Mar 31, 2023 | 1.08 Bn |
| Dec 31, 2022 | 1.09 Bn |
| Sep 30, 2022 | 726.00 Mn |
| Jun 30, 2022 | 883.00 Mn |
| Mar 31, 2022 | 844.00 Mn |
| Dec 31, 2021 | 656.00 Mn |
| Sep 30, 2021 | 970.00 Mn |
API Access
Regions Financial EBITDA 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&ticker=RF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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&ticker=RF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();