Greystone Housing Impact Investors (GHI) Non Operating Interest Expenses (2010 - 2017)
Greystone Housing Impact Investors (GHI) reported Non Operating Interest Expenses of $5.16 million for Q4 2017, up 78.3% from $2.89 million a year earlier but down 9.7% from the prior quarter.
Greystone Housing Impact Investors (GHI) Non Operating Interest Expenses (2010 - 2017) Analysis & Trends
For FY2017, Greystone Housing Impact Investors posted Non Operating Interest Expenses of $22.16 million, up 43.2% from FY2016.
- Non Operating Interest Expenses has increased for seven consecutive years, with a five-year compound annual growth rate of 32.0% (FY2012 to FY2017).
- By year, Non Operating Interest Expenses came in at $15.47 million in FY2016 (+4.3%), $14.83 million in FY2015 (+32.8%), $11.17 million in FY2014 (+59.7%) and $6.99 million in FY2013 (+26.4%).
- Five-year quarterly Non Operating Interest Expenses spans a low of $1.43 million in Q2 2013 and a high of $5.84 million in Q2 2017.
- Year over year, Non Operating Interest Expenses has now increased in each of the last four quarters, with growth averaging 27.8% over the last eight quarters.
- The high point for year-over-year Non Operating Interest Expenses in five years was Q4 2014 (growth of 142.9%); the low point was Q3 2016 (a decline of 26.7%).
- Per Business Quant data, the three quarters before Q4 2017 came in at $5.71 million (Q3 2017), $5.84 million (Q2 2017) and $5.44 million (Q1 2017).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Rocket Companies | 43.26 Bn | 28.94 Bn | - | 374.00 Mn |
| 2 | Orix | 42.40 Bn | 42.90 Bn | - | 281.69 Mn |
| 3 | Royalty Pharma | 33.56 Bn | 33.47 Bn | - | 93.62 Mn |
| 4 | Federal National Mortgage Association Fannie Mae | 24.47 Bn | 24.47 Bn | - | - |
| 5 | Affirm Holdings | 23.34 Bn | 17.03 Bn | - | 118.51 Mn |
| 6 | Synchrony Financial | 23.06 Bn | -44.91 Bn | - | - |
| 7 | Royal Gold | 19.98 Bn | 19.21 Bn | 390.45 Mn | 10.01 Mn |
| 8 | Annaly Capital Management | 14.18 Bn | 5.27 Bn | - | 1.32 Bn |
| 9 | Ares Capital | 13.71 Bn | 11.15 Bn | - | 214.00 Mn |
| 10 | Greystone Housing Impact Investors | 133.84 Mn | 133.84 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2017 | 5.16 Mn |
| Sep 30, 2017 | 5.71 Mn |
| Jun 30, 2017 | 5.84 Mn |
| Mar 31, 2017 | 5.44 Mn |
| Dec 31, 2016 | 2.89 Mn |
| Sep 30, 2016 | 3.49 Mn |
| Jun 30, 2016 | 4.32 Mn |
| Mar 31, 2016 | 4.77 Mn |
| Dec 31, 2015 | 3.14 Mn |
| Sep 30, 2015 | 4.75 Mn |
| Jun 30, 2015 | 2.99 Mn |
| Mar 31, 2015 | 3.94 Mn |
| Dec 31, 2014 | 4.14 Mn |
| Sep 30, 2014 | 2.58 Mn |
| Jun 30, 2014 | 2.34 Mn |
| Mar 31, 2014 | 2.17 Mn |
| Dec 31, 2013 | 1.70 Mn |
| Sep 30, 2013 | 2.33 Mn |
| Jun 30, 2013 | 1.43 Mn |
| Mar 31, 2013 | 1.54 Mn |
Greystone Housing Impact Investors Non Operating Interest Expenses 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-operating-interest-expenses&ticker=GHI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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=non-operating-interest-expenses&ticker=GHI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();