Federal Home Loan Mortgage (FMCC) Asset Writedowns and Impairment (2011 - 2013)
Federal Home Loan Mortgage (FMCC) reported Asset Writedowns and Impairment of $44 million for Q2 2013, down 55.1% from $98 million a year earlier but up 2.3% from the prior quarter.
Powered by 
Analysis
Federal Home Loan Mortgage (FMCC) Asset Writedowns and Impairment (2011 - 2013) Analysis & Trends
Over the twelve months ended Jun 30, 2013, Federal Home Loan Mortgage's Asset Writedowns and Impairment came in at $452 million, down 61.5% year-over-year.
- Five-year quarterly Asset Writedowns and Impairment spans a low of $43 million in Q1 2013 and a high of $564 million in Q1 2012.
- Year over year, Asset Writedowns and Impairment gained in 1 of the last four quarters, with an average decline of 38.4%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Orix | 41.23 Bn | 9.96 Bn | 4.68 Bn |
| 2 | Rocket Companies | 30.99 Bn | 16.66 Bn | - |
| 3 | Affirm Holdings | 26.14 Bn | 19.83 Bn | - |
| 4 | Royalty Pharma | 25.19 Bn | 22.15 Bn | - |
| 5 | Synchrony Financial | 24.33 Bn | -43.64 Bn | - |
| 6 | Federal National Mortgage Association Fannie Mae | 20.12 Bn | 20.12 Bn | - |
| 7 | Royal Gold | 19.94 Bn | 19.11 Bn | 390.45 Mn |
| 8 | Annaly Capital Management | 13.47 Bn | 4.51 Bn | - |
| 9 | Ares Capital | 13.35 Bn | 10.79 Bn | - |
| 10 | Federal Home Loan Mortgage | 10.15 Bn | -8.59 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2013 | 44.00 Mn |
| Mar 31, 2013 | 43.00 Mn |
| Sep 30, 2012 | 267.00 Mn |
| Jun 30, 2012 | 98.00 Mn |
| Mar 31, 2012 | 564.00 Mn |
| Sep 30, 2011 | 161.00 Mn |
| Jun 30, 2011 | 352.00 Mn |
API Access
Federal Home Loan Mortgage Asset Writedowns and Impairment 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=asset-writedowns-and-impairment&ticker=FMCC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "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=asset-writedowns-and-impairment&ticker=FMCC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();