Mfa Financial (MFA) Net Change in Fed Funds Purchased and Repos (2009 - 2020)
Mfa Financial (MFA) recorded Net Change in Fed Funds Purchased and Repos of $12.22 billion in Q1 2020, down 37.4% from $19.51 billion a year earlier and down 12.3% from the prior quarter.
Mfa Financial (MFA) Net Change in Fed Funds Purchased and Repos (2009 - 2020) Analysis & Trends
On a TTM basis, Mfa Financial's Net Change in Fed Funds Purchased and Repos came in at $61.43 billion as of Mar 31, 2020, down 13.8% year-over-year; for FY2019, it was $68.72 billion, up 0.6% from FY2018.
- Annual Net Change in Fed Funds Purchased and Repos has a five-year compound annual growth rate of 249.0% (FY2014 to FY2019).
- Across earlier years, Net Change in Fed Funds Purchased and Repos came in at $68.33 billion in FY2018 (-3.1%), $70.49 billion in FY2017 (-13.7%), $81.71 billion in FY2016 and $215.1 million in FY2015 (+62.0%).
- The Q1 2020 figure is the lowest quarterly Net Change in Fed Funds Purchased and Repos since Q1 2017.
- On a year-over-year basis, Net Change in Fed Funds Purchased and Repos has declined for three consecutive quarters, with an average decline of 7.4% over the last eight quarters.
- Peak year-over-year performance for Net Change in Fed Funds Purchased and Repos in the last five years was growth of 30.7% in Q2 2019, against a decline of 99.7% in Q2 2015 at the low end.
- Per Business Quant, the preceding three quarters came in at $13.93 billion (Q4 2019), $15.98 billion (Q3 2019) and $19.31 billion (Q2 2019).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Repos Chg. (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 |
|---|---|
| Mar 31, 2020 | 12.22 Bn |
| Dec 31, 2019 | 13.93 Bn |
| Sep 30, 2019 | 15.98 Bn |
| Jun 30, 2019 | 19.31 Bn |
| Mar 31, 2019 | 19.51 Bn |
| Dec 31, 2018 | 18.68 Bn |
| Sep 30, 2018 | 18.32 Bn |
| Jun 30, 2018 | 14.78 Bn |
| Mar 31, 2018 | 16.55 Bn |
| Dec 31, 2017 | 15.19 Bn |
| Sep 30, 2017 | 17.36 Bn |
| Jun 30, 2017 | 37.90 Bn |
| Mar 31, 2017 | 37.52 Mn |
| Dec 31, 2016 | 81.58 Bn |
| Sep 30, 2016 | 39.00 Mn |
| Jun 30, 2016 | 34.00 Mn |
| Mar 31, 2016 | 55.70 Mn |
| Dec 31, 2015 | 59.00 Mn |
| Sep 30, 2015 | 32.30 Mn |
| Jun 30, 2015 | 63.80 Mn |
Mfa Financial Net Change in Fed Funds Purchased and Repos 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=net-change-in-fed-funds-purchased-and-repos&ticker=MFA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-change-in-fed-funds-purchased-and-repos", "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=net-change-in-fed-funds-purchased-and-repos&ticker=MFA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();