Greystone Housing Impact Investors (GHI) Operating Margin (2010 - 2015)
Greystone Housing Impact Investors' Operating Margin came in at 18.04% for Q3 2015, down 11.91 percentage points from 29.95% a year earlier and down 29.98 percentage points from the prior quarter.
Greystone Housing Impact Investors (GHI) Operating Margin (2010 - 2015) Analysis & Trends
Over the trailing twelve months to Sep 30, 2015, Greystone Housing Impact Investors reported Operating Margin of 27.61%, down 7.09 percentage points year-over-year; for FY2014, it was 35.85%, down 4.16 percentage points from FY2013.
- Operating Margin carries a five-year change of -78.28 percentage points (FY2009 to FY2014).
- Going back by year, Operating Margin was 40.00% in FY2013 (+22.30 pp), 17.70% in FY2012 (+28.04 pp), -10.34% in FY2011 (-7.97 pp) and -2.37% in FY2010 (-116.49 pp).
- The five-year range for quarterly Operating Margin is -57.55% (Q4 2011) to 654.26% (Q4 2010).
- Year-over-year, Operating Margin increased in three of the last eight quarters, with an average year-over-year change of -4.88 percentage points.
- The fastest year-over-year change in Operating Margin over five years came in Q4 2012 (a gain of 74.69 percentage points), and the weakest in Q4 2011 (a drop of 711.81 percentage points).
- Business Quant data shows GHI's Operating Margin at 48.02% (Q2 2015), 20.19% (Q1 2015) and 17.22% (Q4 2014) in the three quarters before Q3 2015.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Rocket Companies | 43.90 Bn | 29.58 Bn | - | - |
| 2 | Orix | 42.96 Bn | 43.46 Bn | - | 15.28% |
| 3 | Royalty Pharma | 33.48 Bn | 33.39 Bn | - | 19.75% |
| 4 | Federal National Mortgage Association Fannie Mae | 23.94 Bn | 23.94 Bn | - | - |
| 5 | Affirm Holdings | 23.37 Bn | 17.06 Bn | - | 12.63% |
| 6 | Synchrony Financial | 23.31 Bn | -44.66 Bn | - | - |
| 7 | Royal Gold | 20.23 Bn | 19.45 Bn | 390.45 Mn | 62.13% |
| 8 | Annaly Capital Management | 15.24 Bn | 6.34 Bn | - | - |
| 9 | Ares Capital | 13.90 Bn | 11.34 Bn | - | - |
| 10 | Greystone Housing Impact Investors | 135.72 Mn | 135.72 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2015 | 18.04% |
| Jun 30, 2015 | 48.02% |
| Mar 31, 2015 | 20.19% |
| Dec 31, 2014 | 17.22% |
| Sep 30, 2014 | 29.95% |
| Jun 30, 2014 | 34.95% |
| Mar 31, 2014 | 48.76% |
| Dec 31, 2013 | 21.49% |
| Sep 30, 2013 | 34.94% |
| Jun 30, 2013 | 26.12% |
| Mar 31, 2013 | 64.29% |
| Dec 31, 2012 | 17.14% |
| Sep 30, 2012 | 35.03% |
| Jun 30, 2012 | 5.23% |
| Mar 31, 2012 | 11.74% |
| Dec 31, 2011 | -57.55% |
| Sep 30, 2011 | 2.33% |
| Jun 30, 2011 | -4.52% |
| Mar 31, 2011 | 24.32% |
| Dec 31, 2010 | 654.26% |
Greystone Housing Impact Investors Operating Margin 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=operating-margin&ticker=GHI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "ticker": "GHI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=operating-margin&ticker=GHI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();