Mfa Financial, Inc. (MFA) Accumulated Expenses (2023 - 2026)
Mfa Financial (MFA) posted Accumulated Expenses of $223.72 million for Q2 2026, down 35.5% from $346.76 million a year earlier and down 32.7% from the prior quarter.
Mfa Financial, Inc. (MFA) Accumulated Expenses (2023 - 2026) Analysis & Trends
At the end of FY2025, Mfa Financial's Accumulated Expenses came in at $278.74 million, down 32.4% from FY2024.
- In prior years, Mfa Financial's Accumulated Expenses was $412.35 million in FY2024 (+22.7%) and $336.03 million in FY2023.
- The Q2 2026 figure stands as the lowest quarterly Accumulated Expenses in data going back to Q4 2023.
- On a year-over-year basis, Accumulated Expenses increased in four of the last six quarters, with an average decline of 0.5%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $332.64 million (Q1 2026), $278.74 million (Q4 2025) and $433.98 million (Q3 2025).
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 223.72 Mn |
| Mar 31, 2026 | 332.64 Mn |
| Dec 31, 2025 | 278.74 Mn |
| Sep 30, 2025 | 433.98 Mn |
| Jun 30, 2025 | 346.76 Mn |
| Mar 31, 2025 | 313.88 Mn |
| Dec 31, 2024 | 412.35 Mn |
| Sep 30, 2024 | 356.88 Mn |
| Jun 30, 2024 | 302.64 Mn |
| Dec 31, 2023 | 336.03 Mn |
Mfa Financial, Inc. Accumulated 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=accumulated-expenses&ticker=MFA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=MFA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();