Federal Home Loan Mortgage (FMCC) Non-Current Debt (2010 - 2016)
Federal Home Loan Mortgage (FMCC) recorded Non-Current Debt of $2 trillion in Q3 2016, up 2.7% from $1.95 trillion a year earlier and up 1.4% from the prior quarter.
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Analysis
Federal Home Loan Mortgage (FMCC) Non-Current Debt (2010 - 2016) Analysis & Trends
At the end of FY2015, Federal Home Loan Mortgage reported Non-Current Debt of $1.97 trillion, up 2.1% from FY2014.
- Annual Non-Current Debt has a five-year compound annual growth rate of -2.6% (FY2010 to FY2015).
- Across earlier years, Non-Current Debt came in at $1.93 trillion in FY2014 (-0.6%), $1.94 trillion in FY2013 (-1.3%), $1.97 trillion in FY2012 (-7.7%) and $2.13 trillion in FY2011 (-4.9%).
- The Q3 2016 figure is the highest quarterly Non-Current Debt since Q2 2012.
- On a year-over-year basis, Non-Current Debt rose in four of the last five quarters, with growth averaging 1.6%.
- Peak year-over-year performance for Non-Current Debt in the last five years was growth of 2.7% in Q3 2016, against a decline of 7.7% in Q4 2012 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.97 trillion (Q2 2016), $1.96 trillion (Q1 2016) and $1.97 trillion (Q4 2015).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Orix | 41.19 Bn | 9.91 Bn | 4.68 Bn | 35.36 Bn |
| 2 | Rocket Companies | 30.96 Bn | 16.64 Bn | - | 16.64 Bn |
| 3 | Affirm Holdings | 26.04 Bn | 19.73 Bn | - | 3.33 Bn |
| 4 | Royalty Pharma | 25.14 Bn | 22.10 Bn | - | 8.58 Bn |
| 5 | Synchrony Financial | 24.27 Bn | -43.70 Bn | - | 7.52 Bn |
| 6 | Federal National Mortgage Association Fannie Mae | 20.24 Bn | 20.24 Bn | - | -33.11 Bn |
| 7 | Royal Gold | 19.81 Bn | 18.99 Bn | 390.45 Mn | 395.89 Mn |
| 8 | Ares Capital | 13.29 Bn | 10.73 Bn | - | -4.00 Mn |
| 9 | Annaly Capital Management | 13.26 Bn | 4.30 Bn | - | 34.37 Bn |
| 10 | Federal Home Loan Mortgage | 10.28 Bn | -8.46 Bn | - | -21.67 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2016 | 1,999.84 Bn |
| Jun 30, 2016 | 1,972.10 Bn |
| Mar 31, 2016 | 1,955.62 Bn |
| Dec 31, 2015 | 1,970.27 Bn |
| Sep 30, 2015 | 1,947.39 Bn |
| Jun 30, 2015 | 1,929.07 Bn |
| Dec 31, 2014 | 1,929.54 Bn |
| Jun 30, 2014 | 1,898.68 Bn |
| Mar 31, 2014 | 1,900.33 Bn |
| Dec 31, 2013 | 1,940.75 Bn |
| Sep 30, 2013 | 1,935.58 Bn |
| Jun 30, 2013 | 1,945.92 Bn |
| Mar 31, 2013 | 1,955.85 Bn |
| Dec 31, 2012 | 1,967.04 Bn |
| Sep 30, 2012 | 1,997.67 Bn |
| Jun 30, 2012 | 2,050.36 Bn |
| Mar 31, 2012 | 2,100.25 Bn |
| Dec 31, 2011 | 2,131.98 Bn |
| Sep 30, 2011 | 2,162.46 Bn |
| Jun 30, 2011 | 2,180.12 Bn |
API Access
Federal Home Loan Mortgage Non-Current Debt 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=non-current-debt&ticker=FMCC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=FMCC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();