Greystone Housing Impact Investors (GHI) Interest Expenses (2010 - 2017)
Greystone Housing Impact Investors (GHI) posted 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) Interest Expenses (2010 - 2017) Analysis & Trends
For FY2017, Greystone Housing Impact Investors' Interest Expenses came in at $22.16 million, up 43.2% from FY2016.
- Annual Interest Expenses has increased for seven consecutive years, with a five-year compound annual growth rate of 32.0% (FY2012 to FY2017).
- In prior years, Greystone Housing Impact Investors' Interest Expenses was $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%).
- Quarterly Interest Expenses has run from a low of $1.43 million in Q2 2013 to a high of $5.84 million in Q2 2017 over five years.
- On a year-over-year basis, Interest Expenses has increased in each of the last four quarters, with growth averaging 27.8% over the last eight quarters.
- The strongest year-over-year quarter for Interest Expenses in the past five years was Q4 2014, with growth of 142.9%; the weakest was Q3 2016, with a decline of 26.7%.
- According to Business Quant data, Interest Expenses for the three prior quarters was $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) | Int Expense (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 | - | 33.32 Bn |
| 5 | Affirm Holdings | 23.34 Bn | 17.03 Bn | - | 118.51 Mn |
| 6 | Synchrony Financial | 23.06 Bn | -44.91 Bn | - | 975.00 Mn |
| 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 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=interest-expenses&ticker=GHI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=interest-expenses&ticker=GHI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();