Regions Financial (RF) Short-Term Borrowings (2009 - 2026)
Regions Financial's Short-Term Borrowings came in at $3 billion for Q2 2026, down 6.3% from the prior quarter.
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Analysis
Regions Financial (RF) Short-Term Borrowings (2009 - 2026) Analysis & Trends
At the end of FY2025, Regions Financial's Short-Term Borrowings was $750 million, up 50.0% from FY2024.
- Going back by year, Short-Term Borrowings was $500 million in FY2024.
- The five-year range for quarterly Short-Term Borrowings is $500 million (Q4 2024) to $3.2 billion (Q1 2026).
- Business Quant data shows RF's Short-Term Borrowings at $3.2 billion (Q1 2026), $750 million (Q4 2025) and $1.3 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 | - |
| 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 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.00 Bn |
| Mar 31, 2026 | 3.20 Bn |
| Dec 31, 2025 | 750.00 Mn |
| Sep 30, 2025 | 1.30 Bn |
| Dec 31, 2024 | 500.00 Mn |
| Sep 30, 2024 | 1.50 Bn |
| Jun 30, 2024 | 513.00 Mn |
| Mar 31, 2024 | 1.00 Bn |
| Sep 30, 2023 | 2.00 Bn |
| Jun 30, 2023 | 3.00 Bn |
| Mar 31, 2023 | 2.00 Bn |
| Mar 31, 2020 | 3.15 Bn |
| Dec 31, 2019 | 2.10 Bn |
| Sep 30, 2019 | 5.40 Bn |
| Jun 30, 2019 | 4.25 Bn |
| Mar 31, 2019 | 1.60 Bn |
| Dec 31, 2018 | 1.60 Bn |
| Sep 30, 2018 | 3.25 Bn |
| Jun 30, 2018 | 1.40 Bn |
| Dec 31, 2017 | 500.00 Mn |
API Access
Regions Financial Short-Term Borrowings 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=short-term-borrowings&ticker=RF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-borrowings", "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=short-term-borrowings&ticker=RF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();