Regions Financial (RF) Non Operating Interest Expenses (2009 - 2024)
Regions Financial's Non Operating Interest Expenses was $576 million in Q2 2024, up 60.9% from $358 million a year earlier and up 6.7% from the prior quarter.
Regions Financial (RF) Non Operating Interest Expenses (2009 - 2024) Analysis & Trends
On a trailing twelve-month basis, Regions Financial's Non Operating Interest Expenses was $2.11 billion through Jun 30, 2024, up 159.3% year-over-year; for FY2023, it came in at $1.58 billion, up 399.1% from FY2022.
- Non Operating Interest Expenses shows a five-year compound annual growth rate of 21.2% (FY2018 to FY2023).
- In earlier years, Non Operating Interest Expenses was $316 million in FY2022 (+89.2%), $167 million in FY2021 (-54.6%), $368 million in FY2020 (-56.8%) and $851 million in FY2019 (+41.4%).
- The Q2 2024 figure marks the highest quarterly Non Operating Interest Expenses in data going back to Q1 2009.
- Compared with a year earlier, Non Operating Interest Expenses has increased for nine straight quarters, with growth averaging 313.2% over the last eight quarters.
- The best year-over-year quarter for Non Operating Interest Expenses over five years was Q2 2023 (growth of 661.7%); the worst was Q1 2021 (a decline of 69.5%).
- Per Business Quant data, RF's Non Operating Interest Expenses in the three quarters before Q2 2024 was $540 million (Q1 2024), $520 million (Q4 2023) and $475 million (Q3 2023).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 875.87 Bn | 905.35 Bn | - | - |
| 2 | Banco Santander Chile | 397.50 Bn | 517.44 Bn | - | -538.61 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 | - | - |
| 6 | Mitsubishi Ufj Financial | 268.92 Bn | -1,319.57 Bn | 10.89 Bn | 9.12 Bn |
| 7 | Royal Bank Of Canada | 267.86 Bn | 118.60 Bn | - | 12.80 Bn |
| 8 | Goldman Sachs | 258.52 Bn | -3,298.59 Bn | - | - |
| 9 | Wells Fargo & Company | 243.07 Bn | 245.20 Bn | - | - |
| 10 | Regions Financial | 22.74 Bn | 22.81 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2024 | 576.00 Mn |
| Mar 31, 2024 | 540.00 Mn |
| Dec 31, 2023 | 520.00 Mn |
| Sep 30, 2023 | 475.00 Mn |
| Jun 30, 2023 | 358.00 Mn |
| Mar 31, 2023 | 224.00 Mn |
| Dec 31, 2022 | 151.00 Mn |
| Sep 30, 2022 | 81.00 Mn |
| Jun 30, 2022 | 47.00 Mn |
| Mar 31, 2022 | 37.00 Mn |
| Dec 31, 2021 | 37.00 Mn |
| Sep 30, 2021 | 41.00 Mn |
| Jun 30, 2021 | 43.00 Mn |
| Mar 31, 2021 | 46.00 Mn |
| Dec 31, 2020 | 55.00 Mn |
| Sep 30, 2020 | 71.00 Mn |
| Jun 30, 2020 | 91.00 Mn |
| Mar 31, 2020 | 151.00 Mn |
| Dec 31, 2019 | 180.00 Mn |
| Sep 30, 2019 | 213.00 Mn |
Regions Financial Non Operating Interest Expenses 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=non-operating-interest-expenses&ticker=RF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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=non-operating-interest-expenses&ticker=RF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();