Mfa Financial (MFA) Capital Expenditures (2009 - 2023)
Mfa Financial (MFA) posted Capital Expenditures of $1.46 million for Q1 2023, up 53.0% from $953,000 a year earlier.
Mfa Financial (MFA) Capital Expenditures (2009 - 2023) Analysis & Trends
For the trailing twelve months through Mar 31, 2023, Capital Expenditures at Mfa Financial was $805,000, down 90.6% year-over-year; for FY2022, it was $300,000, down 97.5% from FY2021.
- Annual Capital Expenditures shows a five-year compound annual growth rate of -19.2% (FY2017 to FY2022).
- In prior years, Mfa Financial's Capital Expenditures was $12.05 million in FY2021 (+147.8%), $4.86 million in FY2020 (+158.8%), $1.88 million in FY2019 (+65.8%) and $1.13 million in FY2018 (+29.9%).
- The Q1 2023 figure stands as the highest quarterly Capital Expenditures since Q3 2021.
- On a year-over-year basis, Capital Expenditures increased in two of the last five quarters, with an average decline of 0.9%.
- The strongest year-over-year quarter for Capital Expenditures in the past five years was Q3 2020, with growth of 634.4%; the weakest was Q2 2022, with a decline of 99.3%.
- According to Business Quant data, Capital Expenditures for the three prior quarters was -$1.23 million (Q4 2022), $306,000 (Q3 2022) and $272,000 (Q2 2022).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Rocket Companies | 43.90 Bn | 29.58 Bn | - | 34.00 Mn |
| 2 | Orix | 42.96 Bn | 43.46 Bn | - | - |
| 3 | Royalty Pharma | 33.48 Bn | 33.39 Bn | - | - |
| 4 | Federal National Mortgage Association Fannie Mae | 23.94 Bn | 23.94 Bn | - | - |
| 5 | Affirm Holdings | 23.37 Bn | 17.06 Bn | - | 66.87 Mn |
| 6 | Synchrony Financial | 23.31 Bn | -44.66 Bn | - | - |
| 7 | Royal Gold | 20.23 Bn | 19.45 Bn | 390.45 Mn | - |
| 8 | Annaly Capital Management | 15.24 Bn | 6.34 Bn | - | - |
| 9 | Ares Capital | 13.90 Bn | 11.34 Bn | - | - |
| 10 | Mfa Financial | 809.71 Mn | -71.50 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2023 | 1.46 Mn |
| Dec 31, 2022 | -1.23 Mn |
| Sep 30, 2022 | 306,000.00 |
| Jun 30, 2022 | 272,000.00 |
| Mar 31, 2022 | 953,000.00 |
| Dec 31, 2021 | -38.69 Mn |
| Sep 30, 2021 | 7.15 Mn |
| Jun 30, 2021 | 39.17 Mn |
| Mar 31, 2021 | 4.42 Mn |
| Dec 31, 2020 | 3.44 Mn |
| Sep 30, 2020 | 2.26 Mn |
| Jun 30, 2020 | -1.01 Mn |
| Mar 31, 2020 | 176,000.00 |
| Dec 31, 2019 | 528,000.00 |
| Sep 30, 2019 | 308,000.00 |
| Jun 30, 2019 | 652,000.00 |
| Mar 31, 2019 | 391,000.00 |
| Dec 31, 2018 | 124,000.00 |
| Sep 30, 2018 | 458,000.00 |
| Jun 30, 2018 | 380,000.00 |
Mfa Financial Capital Expenditures 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=capital-expenditures&ticker=MFA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=MFA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();