Regions Financial (RF) Wages, Salaries and Other (2009 - 2026)
Regions Financial (RF) reported Wages, Salaries and Other of $697 million for Q2 2026, up 5.9% from $658 million a year earlier and up 5.8% from the prior quarter.
Regions Financial (RF) Wages, Salaries and Other (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Regions Financial's Wages, Salaries and Other came in at $2.69 billion, up 5.7% year-over-year; for FY2025, it came in at $2.62 billion, up 3.4% from FY2024.
- Wages, Salaries and Other has increased for six consecutive years, with a five-year compound annual growth rate of 4.5% (FY2020 to FY2025).
- By year, Wages, Salaries and Other came in at $2.53 billion in FY2024 (+4.7%), $2.42 billion in FY2023 (+4.2%), $2.32 billion in FY2022 (+5.1%) and $2.21 billion in FY2021 (+5.0%).
- The Q2 2026 figure ranks as the highest quarterly Wages, Salaries and Other in data going back to Q1 2009.
- Year over year, Wages, Salaries and Other has now increased in each of the last five quarters, with growth averaging 4.6% over the last eight quarters.
- The high point for year-over-year Wages, Salaries and Other in five years was Q1 2023 (growth of 12.8%); the low point was Q1 2025 (a decline of 5.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $659 million (Q1 2026), $662 million (Q4 2025) and $671 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Wages (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 896.53 Bn | 896.53 Bn | - | 14.77 Bn |
| 2 | Bank Of America | 354.20 Bn | -2,021.91 Bn | - | 10.97 Bn |
| 3 | Hsbc Holdings | 303.54 Bn | -1,800.05 Bn | - | - |
| 4 | Royal Bank Of Canada | 283.29 Bn | -546.75 Bn | - | 4.51 Bn |
| 5 | Morgan Stanley | 281.19 Bn | -262.84 Bn | - | 8.00 Bn |
| 6 | Goldman Sachs | 256.26 Bn | -3,487.19 Bn | - | 5.12 Bn |
| 7 | Wells Fargo & Company | 253.33 Bn | 253.33 Bn | - | 8.75 Bn |
| 8 | Mitsubishi Ufj Financial | 238.77 Bn | -102.62 Bn | 10.89 Bn | - |
| 9 | American Express | 216.03 Bn | 15.51 Bn | - | 2.57 Bn |
| 10 | Regions Financial | 24.19 Bn | 24.19 Bn | - | 697.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 697.00 Mn |
| Mar 31, 2026 | 659.00 Mn |
| Dec 31, 2025 | 662.00 Mn |
| Sep 30, 2025 | 671.00 Mn |
| Jun 30, 2025 | 658.00 Mn |
| Mar 31, 2025 | 625.00 Mn |
| Dec 31, 2024 | 617.00 Mn |
| Sep 30, 2024 | 645.00 Mn |
| Jun 30, 2024 | 609.00 Mn |
| Mar 31, 2024 | 658.00 Mn |
| Dec 31, 2023 | 608.00 Mn |
| Sep 30, 2023 | 589.00 Mn |
| Jun 30, 2023 | 603.00 Mn |
| Mar 31, 2023 | 616.00 Mn |
| Dec 31, 2022 | 604.00 Mn |
| Sep 30, 2022 | 593.00 Mn |
| Jun 30, 2022 | 575.00 Mn |
| Mar 31, 2022 | 546.00 Mn |
| Dec 31, 2021 | 575.00 Mn |
| Sep 30, 2021 | 552.00 Mn |
Regions Financial Wages, Salaries and Other 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=wages-salaries-and-other&ticker=RF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "wages-salaries-and-other", "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=wages-salaries-and-other&ticker=RF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();