Regions Financial (RF) Cash from Operations (2010 - 2026)
Regions Financial (RF) posted Cash from Operations of $369 million for Q2 2026, down 35.6% from $573 million a year earlier and down 57.4% from the prior quarter.
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Analysis
Regions Financial (RF) Cash from Operations (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Cash from Operations at Regions Financial was $1.78 billion, down 33.7% year-over-year; for FY2025, it came in at $2.18 billion, up 36.5% from FY2024.
- Annual Cash from Operations shows a five-year compound annual growth rate of -1.3% (FY2020 to FY2025).
- In prior years, Regions Financial's Cash from Operations was $1.6 billion in FY2024 (-30.8%), $2.31 billion in FY2023 (-25.6%), $3.1 billion in FY2022 (+2.4%) and $3.03 billion in FY2021 (+30.4%).
- Quarterly Cash from Operations has run from a low of -$319 million in Q4 2025 to a high of $1.28 billion in Q4 2022 over five years.
- On a year-over-year basis, Cash from Operations increased in three of the last six quarters, with growth averaging 64.3%.
- The strongest year-over-year quarter for Cash from Operations in the past five years was Q2 2025, with growth of 255.9%; the weakest was Q1 2023, with a decline of 66.4%.
- According to Business Quant data, Cash from Operations for the three prior quarters was $867 million (Q1 2026), -$319 million (Q4 2025) and $861 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 875.87 Bn | 905.35 Bn | - | -25.28 Bn |
| 2 | Banco Santander Chile | 397.50 Bn | 517.44 Bn | - | - |
| 3 | Bank Of America | 375.67 Bn | -2,000.39 Bn | - | 29.04 Bn |
| 4 | Hsbc Holdings | 321.90 Bn | 321.95 Bn | - | - |
| 5 | Morgan Stanley | 298.16 Bn | -210.93 Bn | - | -2.75 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 | - | 25.17 Bn |
| 8 | Goldman Sachs | 258.52 Bn | -3,298.59 Bn | - | 6.11 Bn |
| 9 | Wells Fargo & Company | 243.07 Bn | 245.20 Bn | - | 6.78 Bn |
| 10 | Regions Financial | 22.74 Bn | 22.81 Bn | - | 369.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 369.00 Mn |
| Mar 31, 2026 | 867.00 Mn |
| Dec 31, 2025 | -319.00 Mn |
| Sep 30, 2025 | 861.00 Mn |
| Jun 30, 2025 | 573.00 Mn |
| Mar 31, 2025 | 1.07 Bn |
| Dec 31, 2024 | -220.00 Mn |
| Sep 30, 2024 | 1.26 Bn |
| Jun 30, 2024 | 161.00 Mn |
| Mar 31, 2024 | 396.00 Mn |
| Dec 31, 2023 | 855.00 Mn |
| Sep 30, 2023 | 860.00 Mn |
| Jun 30, 2023 | 397.00 Mn |
| Mar 31, 2023 | 196.00 Mn |
| Dec 31, 2022 | 1.28 Bn |
| Sep 30, 2022 | 321.00 Mn |
| Jun 30, 2022 | 921.00 Mn |
| Mar 31, 2022 | 584.00 Mn |
| Dec 31, 2021 | 761.00 Mn |
| Sep 30, 2021 | 841.00 Mn |
API Access
Regions Financial Cash from Operations 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=cash-from-operations&ticker=RF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=RF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();