Greystone Housing Impact Investors LP (GHI) Financial Services Fees (2012 - 2018)
Greystone Housing Impact Investors' Financial Services Fees came in at $1.07 million for Q1 2018, up 13.9% from $938,000 a year earlier.
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Analysis
Greystone Housing Impact Investors LP (GHI) Financial Services Fees (2012 - 2018) Analysis & Trends
Over the trailing twelve months to Mar 31, 2018, Greystone Housing Impact Investors reported Financial Services Fees of $221,000, down 91.7% year-over-year; for FY2017, it was $128,000, down 93.9% from FY2016.
- Financial Services Fees carries a five-year compound annual growth rate of -38.0% (FY2012 to FY2017).
- Going back by year, Financial Services Fees was $2.1 million in FY2016 (+10.5%), $1.9 million in FY2015 (+11.8%), $1.7 million in FY2014 (+41.7%) and $1.2 million in FY2013 (-14.3%).
- The Q1 2018 figure represents the highest quarterly Financial Services Fees since Q1 2012.
- Year-over-year, Financial Services Fees increased in three of the last six quarters, with growth averaging 32.6%.
- The fastest year-over-year change in Financial Services Fees over five years came in Q2 2013 (growth of 370.0%), and the weakest in Q3 2017 (a decline of 81.8%).
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Historic Data
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Historic Data
| Date | Value |
|---|---|
| Mar 31, 2018 | 1.07 Mn |
| Dec 31, 2017 | -972,000.00 |
| Sep 30, 2017 | 125,000.00 |
| Mar 31, 2017 | 938,000.00 |
| Dec 31, 2016 | 900,000.00 |
| Sep 30, 2016 | 687,000.00 |
| Jun 30, 2016 | 125,000.00 |
| Mar 31, 2016 | 388,000.00 |
| Dec 31, 2015 | 900,000.00 |
| Sep 30, 2015 | 259,000.00 |
| Jun 30, 2015 | 221,000.00 |
| Mar 31, 2015 | 534,000.00 |
| Dec 31, 2014 | 600,000.00 |
| Sep 30, 2014 | 397,000.00 |
| Jun 30, 2014 | 403,000.00 |
| Mar 31, 2014 | 323,000.00 |
| Sep 30, 2013 | 338,000.00 |
| Jun 30, 2013 | 470,000.00 |
| Mar 31, 2013 | 390,000.00 |
| Dec 31, 2012 | -200,000.00 |
API Access
Greystone Housing Impact Investors LP Financial Services Fees 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=financial-services-fees&ticker=GHI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "financial-services-fees", "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=financial-services-fees&ticker=GHI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();