Mfa Financial (MFA) Weighted Average Shares Outstanding (Diluted) (2009 - 2026)
Mfa Financial's Weighted Average Shares Outstanding (Diluted) was 103.37 million in Q3 2026, down 2.2% from 105.75 million a year earlier and down 2.0% from the prior quarter.
Mfa Financial (MFA) Weighted Average Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2025, Weighted Average Shares Outstanding (Diluted) at Mfa Financial came in at 103.98 million, down 1.1% from FY2024.
- Weighted Average Shares Outstanding (Diluted) shows a five-year compound annual growth rate of -1.7% (FY2020 to FY2025).
- In earlier years, Weighted Average Shares Outstanding (Diluted) was 105.1 million in FY2024 (+1.5%), 103.58 million in FY2023 (+0.4%), 103.15 million in FY2022 (-12.9%) and 118.47 million in FY2021 (+4.8%).
- The Q3 2026 figure marks the lowest quarterly Weighted Average Shares Outstanding (Diluted) since Q3 2023.
- Compared with a year earlier, Weighted Average Shares Outstanding (Diluted) was higher in five of the last eight quarters, with an average decline of 0.2%.
- The best year-over-year quarter for Weighted Average Shares Outstanding (Diluted) over five years was Q4 2021 (growth of 4.8%); the worst was Q3 2022 (a decline of 13.9%).
- Per Business Quant data, MFA's Weighted Average Shares Outstanding (Diluted) in the three quarters before Q3 2026 was 105.44 million (Q2 2026), 106.3 million (Q1 2026) and 103.98 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Royalty Pharma | 39.80 Bn | 40.13 Bn | - |
| 2 | Rocket Companies | 38.90 Bn | 27.72 Bn | - |
| 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 | - |
| 5 | Synchrony Financial | 22.47 Bn | -45.15 Bn | - |
| 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 | - |
| 10 | Mfa Financial | 588.06 Mn | 577.22 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 103.37 Mn |
| Jun 30, 2026 | 105.44 Mn |
| Mar 31, 2026 | 106.30 Mn |
| Dec 31, 2025 | 103.98 Mn |
| Sep 30, 2025 | 105.75 Mn |
| Jun 30, 2025 | 105.31 Mn |
| Mar 31, 2025 | 105.38 Mn |
| Dec 31, 2024 | 105.10 Mn |
| Sep 30, 2024 | 106.39 Mn |
| Jun 30, 2024 | 105.18 Mn |
| Mar 31, 2024 | 105.25 Mn |
| Dec 31, 2023 | 103.58 Mn |
| Sep 30, 2023 | 101.92 Mn |
| Jun 30, 2023 | 101.92 Mn |
| Mar 31, 2023 | 110.09 Mn |
| Dec 31, 2022 | 103.15 Mn |
| Sep 30, 2022 | 101.80 Mn |
| Jun 30, 2022 | 102.52 Mn |
| Mar 31, 2022 | 106.57 Mn |
| Dec 31, 2021 | 118.47 Mn |
Mfa Financial Weighted Average Shares Outstanding (Diluted) 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=weighted-average-shares-outstanding-diluted&ticker=MFA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "weighted-average-shares-outstanding-diluted", "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=weighted-average-shares-outstanding-diluted&ticker=MFA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();