Regions Financial (RF) Occupancy Expense (2009 - 2026)
Regions Financial (RF) recorded Occupancy Expense of $73 million in Q2 2026, up 1.4% from $72 million a year earlier and up 1.4% from the prior quarter.
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Analysis
Regions Financial (RF) Occupancy Expense (2009 - 2026) Analysis & Trends
On a TTM basis, Regions Financial's Occupancy Expense came in at $291 million as of Jun 30, 2026, up 4.7% year-over-year; for FY2025, it was $288 million, up 3.6% from FY2024.
- Annual Occupancy Expense has a five-year compound annual growth rate of -1.7% (FY2020 to FY2025).
- Across earlier years, Occupancy Expense came in at $278 million in FY2024 (-3.8%), $289 million in FY2023 (-3.7%), $300 million in FY2022 (-1.0%) and $303 million in FY2021 (-3.2%).
- Quarterly Occupancy Expense has ranged from $67 million in Q4 2024 to $76 million in Q3 2022 over the past five years.
- On a year-over-year basis, Occupancy Expense has increased for five consecutive quarters, with growth averaging 1.2% over the last eight quarters.
- Peak year-over-year performance for Occupancy Expense in the last five years was growth of 10.4% in Q4 2025, against a decline of 6.8% in Q2 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $72 million (Q1 2026), $74 million (Q4 2025) and $72 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 905.34 Bn | 905.34 Bn | - |
| 2 | Bank Of America | 358.56 Bn | -2,017.55 Bn | - |
| 3 | Hsbc Holdings | 307.13 Bn | -1,796.46 Bn | - |
| 4 | Royal Bank Of Canada | 287.97 Bn | -542.07 Bn | - |
| 5 | Morgan Stanley | 284.27 Bn | -224.82 Bn | - |
| 6 | Goldman Sachs | 257.96 Bn | -3,485.49 Bn | - |
| 7 | Wells Fargo & Company | 256.22 Bn | 256.22 Bn | - |
| 8 | Mitsubishi Ufj Financial | 241.27 Bn | -100.12 Bn | 10.89 Bn |
| 9 | American Express | 219.29 Bn | 18.77 Bn | - |
| 10 | Regions Financial | 24.32 Bn | 24.32 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 73.00 Mn |
| Mar 31, 2026 | 72.00 Mn |
| Dec 31, 2025 | 74.00 Mn |
| Sep 30, 2025 | 72.00 Mn |
| Jun 30, 2025 | 72.00 Mn |
| Mar 31, 2025 | 70.00 Mn |
| Dec 31, 2024 | 67.00 Mn |
| Sep 30, 2024 | 69.00 Mn |
| Jun 30, 2024 | 68.00 Mn |
| Mar 31, 2024 | 74.00 Mn |
| Dec 31, 2023 | 71.00 Mn |
| Sep 30, 2023 | 72.00 Mn |
| Jun 30, 2023 | 73.00 Mn |
| Mar 31, 2023 | 73.00 Mn |
| Dec 31, 2022 | 74.00 Mn |
| Sep 30, 2022 | 76.00 Mn |
| Jun 30, 2022 | 75.00 Mn |
| Mar 31, 2022 | 75.00 Mn |
| Dec 31, 2021 | 76.00 Mn |
| Sep 30, 2021 | 75.00 Mn |
API Access
Regions Financial Occupancy Expense 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=occupancy-expense&ticker=RF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "occupancy-expense", "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=occupancy-expense&ticker=RF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();