Mfa Financial (MFA) Wages, Salaries and Other (2009 - 2026)
Mfa Financial (MFA) reported Wages, Salaries and Other of $15.89 million for Q3 2026, down 12.6% from $18.19 million a year earlier and down 11.7% from the prior quarter.
Mfa Financial (MFA) Wages, Salaries and Other (2009 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Mfa Financial's Wages, Salaries and Other came in at $72.96 million, down 7.4% year-over-year; for FY2025, it came in at $77.67 million, down 11.4% from FY2024.
- Wages, Salaries and Other has a five-year compound annual growth rate of 20.1% (FY2020 to FY2025).
- By year, Wages, Salaries and Other came in at $87.65 million in FY2024 (+2.2%), $85.8 million in FY2023 (+11.8%), $76.73 million in FY2022 (+42.6%) and $53.82 million in FY2021 (+73.4%).
- The Q3 2026 figure ranks as the lowest quarterly Wages, Salaries and Other since Q2 2021.
- Year over year, Wages, Salaries and Other has now declined in each of the last ten quarters, with an average decline of 9.5% over the last eight quarters.
- The high point for year-over-year Wages, Salaries and Other in five years was Q4 2021 (growth of 963.1%); the low point was Q3 2025 (a decline of 18.9%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $17.99 million (Q2 2026), $22.16 million (Q1 2026) and $16.92 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Wages (Qtr) |
|---|---|---|---|---|---|
| 1 | Royalty Pharma | 39.80 Bn | 40.13 Bn | - | - |
| 2 | Rocket Companies | 38.90 Bn | 27.72 Bn | - | 935.00 Mn |
| 3 | Orix | 38.66 Bn | 9.30 Bn | 13.83 Bn | - |
| 4 | Federal National Mortgage Association Fannie Mae | 26.46 Bn | -16,107.65 Bn | - | 484.00 Mn |
| 5 | Synchrony Financial | 22.47 Bn | -45.15 Bn | - | 507.00 Mn |
| 6 | Affirm Holdings | 22.07 Bn | 15.11 Bn | - | - |
| 7 | Royal Gold | 21.71 Bn | 20.92 Bn | 402.46 Mn | - |
| 8 | Ares Capital | 13.84 Bn | 11.59 Bn | - | - |
| 9 | Annaly Capital Management | 13.83 Bn | 4.86 Bn | - | 41.19 Mn |
| 10 | Mfa Financial | 588.06 Mn | 577.22 Mn | - | 15.89 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 15.89 Mn |
| Jun 30, 2026 | 17.99 Mn |
| Mar 31, 2026 | 22.16 Mn |
| Dec 31, 2025 | 16.92 Mn |
| Sep 30, 2025 | 18.19 Mn |
| Jun 30, 2025 | 19.31 Mn |
| Mar 31, 2025 | 23.26 Mn |
| Dec 31, 2024 | 18.02 Mn |
| Sep 30, 2024 | 22.42 Mn |
| Jun 30, 2024 | 21.75 Mn |
| Mar 31, 2024 | 25.47 Mn |
| Dec 31, 2023 | 19.35 Mn |
| Sep 30, 2023 | 24.05 Mn |
| Jun 30, 2023 | 21.77 Mn |
| Mar 31, 2023 | 20.63 Mn |
| Dec 31, 2022 | 17.05 Mn |
| Sep 30, 2022 | 21.06 Mn |
| Jun 30, 2022 | 19.06 Mn |
| Mar 31, 2022 | 19.56 Mn |
| Dec 31, 2021 | 20.28 Mn |
Mfa 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=MFA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "wages-salaries-and-other", "ticker": "MFA", "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=MFA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();