Regions Financial (RF) Capital Expenditures (2010 - 2026)
Regions Financial (RF) posted Capital Expenditures of $62 million for Q2 2026, down 13.9% from $72 million a year earlier and unchanged from the prior quarter.
Regions Financial (RF) Capital Expenditures (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Capital Expenditures at Regions Financial was $110 million, down 62.8% year-over-year; for FY2025, it was $155 million, down 10.9% from FY2024.
- Annual Capital Expenditures shows a five-year compound annual growth rate of 3.0% (FY2020 to FY2025).
- In prior years, Regions Financial's Capital Expenditures was $174 million in FY2024 (-6.5%), $186 million in FY2023 (+106.7%), $90 million in FY2022 (-1.1%) and $91 million in FY2021 (-32.1%).
- Quarterly Capital Expenditures has run from a low of -$45 million in Q4 2025 to a high of $97 million in Q1 2025 over five years.
- On a year-over-year basis, Capital Expenditures increased in two of the last six quarters, with growth averaging 0.5%.
- The strongest year-over-year quarter for Capital Expenditures in the past five years was Q2 2023, with growth of 333.3%; the weakest was Q1 2024, with a decline of 87.9%.
- According to Business Quant data, Capital Expenditures for the three prior quarters was $62 million (Q1 2026), -$45 million (Q4 2025) and $31 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 875.87 Bn | 905.35 Bn | - | - |
| 2 | Banco Santander Chile | 397.50 Bn | 517.44 Bn | - | - |
| 3 | Bank Of America | 375.67 Bn | -2,000.39 Bn | - | - |
| 4 | Hsbc Holdings | 321.90 Bn | 321.95 Bn | - | - |
| 5 | Morgan Stanley | 298.16 Bn | -210.93 Bn | - | 819.00 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 | - | - |
| 8 | Goldman Sachs | 258.52 Bn | -3,298.59 Bn | - | 502.00 Mn |
| 9 | Wells Fargo & Company | 243.07 Bn | 245.20 Bn | - | - |
| 10 | Regions Financial | 22.74 Bn | 22.81 Bn | - | 62.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 62.00 Mn |
| Mar 31, 2026 | 62.00 Mn |
| Dec 31, 2025 | -45.00 Mn |
| Sep 30, 2025 | 31.00 Mn |
| Jun 30, 2025 | 72.00 Mn |
| Mar 31, 2025 | 97.00 Mn |
| Dec 31, 2024 | 70.00 Mn |
| Sep 30, 2024 | 57.00 Mn |
| Jun 30, 2024 | 43.00 Mn |
| Mar 31, 2024 | 4.00 Mn |
| Dec 31, 2023 | 71.00 Mn |
| Sep 30, 2023 | 43.00 Mn |
| Jun 30, 2023 | 39.00 Mn |
| Mar 31, 2023 | 33.00 Mn |
| Dec 31, 2022 | 28.00 Mn |
| Sep 30, 2022 | 21.00 Mn |
| Jun 30, 2022 | 9.00 Mn |
| Mar 31, 2022 | 32.00 Mn |
| Dec 31, 2021 | 37.00 Mn |
| Sep 30, 2021 | 17.00 Mn |
Regions Financial Capital Expenditures 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=capital-expenditures&ticker=RF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=RF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();