Regions Financial (RF) Cash Due from Bank (2009 - 2026)
Regions Financial's Cash Due from Bank was $3.18 billion in Q2 2026, down 2.1% from $3.25 billion a year earlier and down 7.8% from the prior quarter.
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Analysis
Regions Financial (RF) Cash Due from Bank (2009 - 2026) Analysis & Trends
At the end of FY2025, Cash Due from Bank at Regions Financial came in at $3.11 billion, up 7.6% from FY2024.
- Cash Due from Bank has now increased for four consecutive years, with a five-year compound annual growth rate of 14.8% (FY2020 to FY2025).
- In earlier years, Cash Due from Bank was $2.89 billion in FY2024 (+9.8%), $2.64 billion in FY2023 (+31.9%), $2 billion in FY2022 (+47.9%) and $1.35 billion in FY2021 (-13.4%).
- Quarterly Cash Due from Bank has moved between $1.35 billion (Q4 2021) and $3.45 billion (Q1 2026) over five years.
- Compared with a year earlier, Cash Due from Bank was higher in seven of the last eight quarters, with growth averaging 18.3%.
- The best year-over-year quarter for Cash Due from Bank over five years was Q3 2024 (growth of 71.5%); the worst was Q3 2023 (a decline of 26.6%).
- Per Business Quant data, RF's Cash Due from Bank in the three quarters before Q2 2026 was $3.45 billion (Q1 2026), $3.11 billion (Q4 2025) and $3.07 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash Due from Bank (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 875.87 Bn | 905.35 Bn | - | 24.72 Bn |
| 2 | Banco Santander Chile | 397.50 Bn | 517.44 Bn | - | - |
| 3 | Bank Of America | 375.67 Bn | -2,000.39 Bn | - | 28.10 Bn |
| 4 | Hsbc Holdings | 321.90 Bn | 321.95 Bn | - | - |
| 5 | Morgan Stanley | 298.16 Bn | -210.93 Bn | - | - |
| 6 | Mitsubishi Ufj Financial | 268.92 Bn | -1,319.57 Bn | 10.89 Bn | 505.89 Bn |
| 7 | Royal Bank Of Canada | 267.86 Bn | 118.60 Bn | - | 46.00 Bn |
| 8 | Goldman Sachs | 258.52 Bn | -3,298.59 Bn | - | - |
| 9 | Wells Fargo & Company | 243.07 Bn | 245.20 Bn | - | 42.16 Bn |
| 10 | Regions Financial | 22.74 Bn | 22.81 Bn | - | 3.18 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.18 Bn |
| Mar 31, 2026 | 3.45 Bn |
| Dec 31, 2025 | 3.11 Bn |
| Sep 30, 2025 | 3.07 Bn |
| Jun 30, 2025 | 3.25 Bn |
| Mar 31, 2025 | 3.29 Bn |
| Dec 31, 2024 | 2.89 Bn |
| Sep 30, 2024 | 2.67 Bn |
| Jun 30, 2024 | 2.96 Bn |
| Mar 31, 2024 | 2.53 Bn |
| Dec 31, 2023 | 2.64 Bn |
| Sep 30, 2023 | 1.55 Bn |
| Jun 30, 2023 | 2.48 Bn |
| Mar 31, 2023 | 2.40 Bn |
| Dec 31, 2022 | 2.00 Bn |
| Sep 30, 2022 | 2.12 Bn |
| Jun 30, 2022 | 2.30 Bn |
| Mar 31, 2022 | 2.23 Bn |
| Dec 31, 2021 | 1.35 Bn |
| Sep 30, 2021 | 1.74 Bn |
API Access
Regions Financial Cash Due from Bank 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-due-from-bank&ticker=RF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-due-from-bank", "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-due-from-bank&ticker=RF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();