Ready Capital (RC) Net Change in Fed Funds Purchased and Repos (2012 - 2017)
Ready Capital's Net Change in Fed Funds Purchased and Repos was $253.11 million in Q2 2017, up 265.5% from $69.25 million a year earlier but down 77.9% from the prior quarter.
Ready Capital (RC) Net Change in Fed Funds Purchased and Repos (2012 - 2017) Analysis & Trends
On a trailing twelve-month basis, Ready Capital's Net Change in Fed Funds Purchased and Repos was $5.59 billion through Jun 30, 2017, up 444.2% year-over-year; for FY2016, it was $4.3 billion, down 51.9% from FY2015.
- Net Change in Fed Funds Purchased and Repos shows a five-year compound annual growth rate of 108.9% (FY2011 to FY2016).
- In earlier years, Net Change in Fed Funds Purchased and Repos was $8.92 billion in FY2015 (+508.4%), $1.47 billion in FY2014 (+300.7%), $366.1 million in FY2013 (+362.7%) and $79.13 million in FY2012 (-26.8%).
- Quarterly Net Change in Fed Funds Purchased and Repos has moved between $12.29 million (Q3 2012) and $4.12 billion (Q4 2016) over five years.
- The best year-over-year quarter for Net Change in Fed Funds Purchased and Repos over five years was Q1 2013 (growth of 365.8%); the worst was Q1 2014 (a decline of 86.7%).
- Per Business Quant data, RC's Net Change in Fed Funds Purchased and Repos in the three quarters before Q2 2017 was $1.14 billion (Q1 2017), $4.12 billion (Q4 2016) and $69.99 million (Q3 2016).
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 | Ready Capital | 135.44 Mn | -449.48 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2017 | 253.11 Mn |
| Mar 31, 2017 | 1.14 Bn |
| Dec 31, 2016 | 4.12 Bn |
| Sep 30, 2016 | 69.99 Mn |
| Jun 30, 2016 | 69.25 Mn |
| Mar 31, 2016 | 957.09 Mn |
| Mar 31, 2015 | 1.02 Bn |
| Dec 31, 2014 | 1.36 Bn |
| Sep 30, 2014 | 33.68 Mn |
| Jun 30, 2014 | 41.93 Mn |
| Mar 31, 2014 | 29.61 Mn |
| Dec 31, 2013 | 31.34 Mn |
| Sep 30, 2013 | 46.83 Mn |
| Jun 30, 2013 | 65.64 Mn |
| Mar 31, 2013 | 222.30 Mn |
| Dec 31, 2012 | 17.24 Mn |
| Sep 30, 2012 | 12.29 Mn |
| Jun 30, 2012 | 1.87 Mn |
| Mar 31, 2012 | 47.73 Mn |
Ready Capital 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=RC&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": "RC", "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=RC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();