Antelope Enterprise Holdings Ltd (AEHL) Land & Improvements (2009 - 2018)
Antelope Enterprise Holdings' Land & Improvements came in at $8,000 for fiscal Q2 2018 (quarter ended Jun 30, 2018), down 22.7% from $10,350 a year earlier.
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Analysis
Antelope Enterprise Holdings Ltd (AEHL) Land & Improvements (2009 - 2018) Analysis & Trends
At the end of FY2017 (ended Dec 31, 2017), Antelope Enterprise Holdings' Land & Improvements was $21,165, down 97.5% from FY2016.
- Land & Improvements has declined in each of the last six fiscal years, with a five-year compound annual growth rate of -66.4% (FY2012 to FY2017).
- Going back by fiscal year, Land & Improvements was $853,000 in FY2016 (-65.0%), $2.44 million in FY2015 (-48.3%), $4.72 million in FY2014 (-3.2%) and $4.87 million in FY2013 (-0.8%).
- The fiscal Q2 2018 figure represents the lowest quarterly Land & Improvements since fiscal Q2 2009.
- The fastest year-over-year change in Land & Improvements over five years came in fiscal Q4 2013 (growth of 0.5%), and the weakest in fiscal Q2 2017 (a decline of 99.6%).
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Historic Data
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Historic Data
| Date | Value |
|---|---|
| Jun 30, 2018 | 8,000.00 |
| Dec 31, 2017 | 21,613.31 |
| Jun 30, 2017 | 10,349.59 |
| Dec 31, 2016 | 54,082.40 |
| Sep 30, 2016 | 2.33 Mn |
| Jun 30, 2016 | 2.35 Mn |
| Mar 31, 2016 | 2.44 Mn |
| Dec 31, 2015 | 104,854.94 |
| Sep 30, 2015 | 4.53 Mn |
| Jun 30, 2015 | 4.67 Mn |
| Mar 31, 2015 | 4.69 Mn |
| Dec 31, 2014 | 109,165.53 |
| Sep 30, 2014 | 4.79 Mn |
| Jun 30, 2014 | 4.77 Mn |
| Mar 31, 2014 | 4.79 Mn |
| Dec 31, 2013 | 4.92 Mn |
| Sep 30, 2013 | 4.92 Mn |
| Jun 30, 2013 | 4.93 Mn |
| Mar 31, 2013 | 4.90 Mn |
| Dec 31, 2012 | 4.90 Mn |
API Access
Antelope Enterprise Holdings Ltd Land & Improvements 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=land-and-improvements&ticker=AEHL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "ticker": "AEHL", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=land-and-improvements&ticker=AEHL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();