Mfa Financial (MFA) Fed Funds Purchased and Repurchase Agreements (2009 - 2020)
Mfa Financial (MFA) reported Fed Funds Purchased and Repurchase Agreements of $7.77 billion for Q1 2020, down 8.7% from $8.51 billion a year earlier and down 15.0% from the prior quarter.
Mfa Financial (MFA) Fed Funds Purchased and Repurchase Agreements (2009 - 2020) Analysis & Trends
At the end of FY2019, Mfa Financial posted Fed Funds Purchased and Repurchase Agreements of $9.14 billion, up 16.0% from FY2018.
- Fed Funds Purchased and Repurchase Agreements has a five-year compound annual growth rate of 2.0% (FY2014 to FY2019).
- By year, Fed Funds Purchased and Repurchase Agreements came in at $7.88 billion in FY2018 (+19.1%), $6.61 billion in FY2017 (-91.9%), $81.71 billion in FY2016 (-10.8%) and $91.61 billion in FY2015.
- The Q1 2020 figure ranks as the lowest quarterly Fed Funds Purchased and Repurchase Agreements since Q3 2018.
- Year over year, Fed Funds Purchased and Repurchase Agreements gained in four of the last eight quarters, with an average decline of 16.2%.
- The high point for year-over-year Fed Funds Purchased and Repurchase Agreements in five years was Q3 2015 (growth of 831.1%); the low point was Q4 2017 (a decline of 91.9%).
- Per Business Quant data, the three quarters before Q1 2020 came in at $9.14 billion (Q4 2019), $8.57 billion (Q3 2019) and $8.63 billion (Q2 2019).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Fed Funds & Repos (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 | - | 85.53 Bn |
| 10 | Mfa Financial | 588.06 Mn | 577.22 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2020 | 7.77 Bn |
| Dec 31, 2019 | 9.14 Bn |
| Sep 30, 2019 | 8.57 Bn |
| Jun 30, 2019 | 8.63 Bn |
| Mar 31, 2019 | 8.51 Bn |
| Dec 31, 2018 | 7.88 Bn |
| Sep 30, 2018 | 7.28 Bn |
| Jun 30, 2018 | 5.89 Bn |
| Mar 31, 2018 | 16.55 Bn |
| Dec 31, 2017 | 6.61 Bn |
| Sep 30, 2017 | 55.30 Bn |
| Jun 30, 2017 | 37.94 Bn |
| Mar 31, 2017 | 19.96 Bn |
| Dec 31, 2016 | 81.71 Bn |
| Sep 30, 2016 | 8.47 Bn |
| Jun 30, 2016 | 39.87 Bn |
| Mar 31, 2016 | 19.53 Bn |
| Dec 31, 2015 | 91.61 Bn |
| Sep 30, 2015 | 75.66 Bn |
| Jun 30, 2015 | 9.64 Bn |
Mfa Financial Fed Funds Purchased and Repurchase Agreements 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=fed-funds-purchased-and-repurchase-agreements&ticker=MFA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "fed-funds-purchased-and-repurchase-agreements", "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=fed-funds-purchased-and-repurchase-agreements&ticker=MFA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();