Federal Home Loan Mortgage (FMCC) Prepaid Assets (2011 - 2013)
Federal Home Loan Mortgage (FMCC) recorded Prepaid Assets of $2.46 billion in Q2 2013, up 91.4% from $1.28 billion a year earlier but down 4.7% from the prior quarter.
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Analysis
Federal Home Loan Mortgage (FMCC) Prepaid Assets (2011 - 2013) Analysis & Trends
At the end of FY2012, Federal Home Loan Mortgage reported Prepaid Assets of $2.65 billion, up 87.5% from FY2011.
- Across earlier years, Prepaid Assets came in at $1.41 billion in FY2011.
- Quarterly Prepaid Assets has ranged from $1.28 billion in Q2 2012 to $2.65 billion in Q4 2012 over the past five years.
- Per Business Quant, the preceding three quarters came in at $2.58 billion (Q1 2013), $2.65 billion (Q4 2012) and $1.43 billion (Q3 2012).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Orix | 41.19 Bn | 9.91 Bn | 4.68 Bn |
| 2 | Rocket Companies | 30.96 Bn | 16.64 Bn | - |
| 3 | Affirm Holdings | 26.04 Bn | 19.73 Bn | - |
| 4 | Royalty Pharma | 25.14 Bn | 22.10 Bn | - |
| 5 | Synchrony Financial | 24.27 Bn | -43.70 Bn | - |
| 6 | Federal National Mortgage Association Fannie Mae | 20.24 Bn | 20.24 Bn | - |
| 7 | Royal Gold | 19.81 Bn | 18.99 Bn | 390.45 Mn |
| 8 | Ares Capital | 13.29 Bn | 10.73 Bn | - |
| 9 | Annaly Capital Management | 13.26 Bn | 4.30 Bn | - |
| 10 | Federal Home Loan Mortgage | 10.28 Bn | -8.46 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2013 | 2.46 Bn |
| Mar 31, 2013 | 2.58 Bn |
| Dec 31, 2012 | 2.65 Bn |
| Sep 30, 2012 | 1.43 Bn |
| Jun 30, 2012 | 1.28 Bn |
| Dec 31, 2011 | 1.41 Bn |
API Access
Federal Home Loan Mortgage Prepaid Assets 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=prepaid-assets&ticker=FMCC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "ticker": "FMCC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=prepaid-assets&ticker=FMCC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();