Mfa Financial (MFA) Cash & Equivalents (2009 - 2026)
Mfa Financial's Cash & Equivalents was $119.55 million in Q3 2026, down 60.8% from $305.2 million a year earlier and down 15.3% from the prior quarter.
Mfa Financial (MFA) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025, Cash & Equivalents at Mfa Financial came in at $213.21 million, down 37.1% from FY2024.
- Cash & Equivalents shows a five-year compound annual growth rate of -23.5% (FY2020 to FY2025).
- In earlier years, Cash & Equivalents was $338.93 million in FY2024 (+6.6%), $318 million in FY2023 (-4.8%), $334.2 million in FY2022 (+9.7%) and $304.7 million in FY2021 (-62.6%).
- The Q3 2026 figure marks the lowest quarterly Cash & Equivalents since Q1 2020.
- Compared with a year earlier, Cash & Equivalents has declined for seven straight quarters, with an average decline of 21.9% over the last eight quarters.
- The best year-over-year quarter for Cash & Equivalents over five years was Q4 2022 (growth of 9.7%); the worst was Q4 2021 (a decline of 62.6%).
- Per Business Quant data, MFA's Cash & Equivalents in the three quarters before Q3 2026 was $141.2 million (Q2 2026), $221.6 million (Q1 2026) and $213.21 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Royalty Pharma | 39.80 Bn | 40.13 Bn | - | 513.66 Mn |
| 2 | Rocket Companies | 38.90 Bn | 27.72 Bn | - | 2.70 Bn |
| 3 | Orix | 38.66 Bn | 9.30 Bn | 13.83 Bn | 7.17 Bn |
| 4 | Federal National Mortgage Association Fannie Mae | 26.46 Bn | -16,107.65 Bn | - | 10.92 Bn |
| 5 | Synchrony Financial | 22.47 Bn | -45.15 Bn | - | 15.90 Bn |
| 6 | Affirm Holdings | 22.07 Bn | 15.11 Bn | - | 2.07 Bn |
| 7 | Royal Gold | 21.71 Bn | 20.92 Bn | 402.46 Mn | 184.54 Mn |
| 8 | Ares Capital | 13.84 Bn | 11.59 Bn | - | 722.00 Mn |
| 9 | Annaly Capital Management | 13.83 Bn | 4.86 Bn | - | 2.18 Bn |
| 10 | Mfa Financial | 588.06 Mn | 577.22 Mn | - | 119.55 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 119.55 Mn |
| Jun 30, 2026 | 141.20 Mn |
| Mar 31, 2026 | 221.60 Mn |
| Dec 31, 2025 | 213.21 Mn |
| Sep 30, 2025 | 305.20 Mn |
| Jun 30, 2025 | 275.73 Mn |
| Mar 31, 2025 | 253.71 Mn |
| Dec 31, 2024 | 338.93 Mn |
| Sep 30, 2024 | 305.60 Mn |
| Jun 30, 2024 | 289.41 Mn |
| Mar 31, 2024 | 306.30 Mn |
| Dec 31, 2023 | 318.00 Mn |
| Sep 30, 2023 | 300.10 Mn |
| Jun 30, 2023 | 329.40 Mn |
| Mar 31, 2023 | 362.50 Mn |
| Dec 31, 2022 | 334.20 Mn |
| Sep 30, 2022 | 434.10 Mn |
| Jun 30, 2022 | 385.60 Mn |
| Mar 31, 2022 | 410.94 Mn |
| Dec 31, 2021 | 304.70 Mn |
Mfa Financial Cash & Equivalents 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-and-equivalents&ticker=MFA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=MFA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();