Regions Financial (RF) Equipment Expense (2009 - 2026)
Regions Financial (RF) reported Equipment Expense of $107 million for Q2 2026, up 2.9% from $104 million a year earlier but down 0.9% from the prior quarter.
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Analysis
Regions Financial (RF) Equipment Expense (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Regions Financial's Equipment Expense came in at $433 million, up 6.1% year-over-year; for FY2025, it came in at $421 million, up 3.7% from FY2024.
- Equipment Expense has a five-year compound annual growth rate of 3.9% (FY2020 to FY2025).
- By year, Equipment Expense came in at $406 million in FY2024 (-1.5%), $412 million in FY2023 (+5.1%), $392 million in FY2022 (+7.4%) and $365 million in FY2021 (+4.9%).
- Five-year quarterly Equipment Expense spans a low of $90 million in Q3 2021 and a high of $112 million in Q4 2025.
- Year over year, Equipment Expense has now increased in each of the last five quarters, with growth averaging 2.9% over the last eight quarters.
- The high point for year-over-year Equipment Expense in five years was Q3 2023 (growth of 9.2%); the low point was Q3 2024 (a decline of 5.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $108 million (Q1 2026), $112 million (Q4 2025) and $106 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Equipment Expense (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 | - | 540.77 Mn |
| 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 | - | 107.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 107.00 Mn |
| Mar 31, 2026 | 108.00 Mn |
| Dec 31, 2025 | 112.00 Mn |
| Sep 30, 2025 | 106.00 Mn |
| Jun 30, 2025 | 104.00 Mn |
| Mar 31, 2025 | 99.00 Mn |
| Dec 31, 2024 | 104.00 Mn |
| Sep 30, 2024 | 101.00 Mn |
| Jun 30, 2024 | 100.00 Mn |
| Mar 31, 2024 | 101.00 Mn |
| Dec 31, 2023 | 102.00 Mn |
| Sep 30, 2023 | 107.00 Mn |
| Jun 30, 2023 | 101.00 Mn |
| Mar 31, 2023 | 102.00 Mn |
| Dec 31, 2022 | 102.00 Mn |
| Sep 30, 2022 | 98.00 Mn |
| Jun 30, 2022 | 97.00 Mn |
| Mar 31, 2022 | 95.00 Mn |
| Dec 31, 2021 | 96.00 Mn |
| Sep 30, 2021 | 90.00 Mn |
API Access
Regions Financial Equipment 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=equipment-expense&ticker=RF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "equipment-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=equipment-expense&ticker=RF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();