Regions Financial (RF) Rent Expense (2009 - 2026)
Regions Financial (RF) recorded Rent Expense of $73 million in Q2 2026, up 1.4% from $72 million a year earlier and up 1.4% from the prior quarter.
Regions Financial (RF) Rent Expense (2009 - 2026) Analysis & Trends
On a TTM basis, Regions Financial's Rent 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 Rent Expense has a five-year compound annual growth rate of -1.7% (FY2020 to FY2025).
- Across earlier years, Rent 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 Rent 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, Rent Expense has increased for five consecutive quarters, with growth averaging 1.2% over the last eight quarters.
- Peak year-over-year performance for Rent 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 Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Rental Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 875.87 Bn | 905.35 Bn | - | 1.48 Bn |
| 2 | Banco Santander Chile | 397.50 Bn | 517.44 Bn | - | - |
| 3 | Bank Of America | 375.67 Bn | -2,000.39 Bn | - | 1.91 Bn |
| 4 | Hsbc Holdings | 321.90 Bn | 321.95 Bn | - | - |
| 5 | Morgan Stanley | 298.16 Bn | -210.93 Bn | - | 482.00 Mn |
| 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 | - | 316.29 Mn |
| 8 | Goldman Sachs | 258.52 Bn | -3,298.59 Bn | - | 244.00 Mn |
| 9 | Wells Fargo & Company | 243.07 Bn | 245.20 Bn | - | 803.00 Mn |
| 10 | Regions Financial | 22.74 Bn | 22.81 Bn | - | 73.00 Mn |
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 |
Regions Financial Rent 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=rent-expense&ticker=RF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "rent-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=rent-expense&ticker=RF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();