Advanced Oxygen Technologies (AOXY) Gross Margin (2010 - 2016)
Advanced Oxygen Technologies' Gross Margin was 100.00% in fiscal Q3 2016 (quarter ended Mar 31, 2016), unchanged from 100.00% a year earlier and unchanged from the prior quarter.
Advanced Oxygen Technologies (AOXY) Gross Margin (2010 - 2016) Analysis & Trends
On a trailing twelve-month basis, Advanced Oxygen Technologies' Gross Margin was 195.35% through Mar 31, 2016, up 97.21 percentage points year-over-year; for FY2015 (ended Jun 30, 2015), it came in at 191.55%, up 93.49 percentage points from FY2014.
- Gross Margin shows a five-year change of +91.55 percentage points (FY2010 to FY2015).
- In earlier fiscal years, Gross Margin was 98.05% in FY2014 (-1.95 pp), 100.00% in FY2013 (unchanged), 100.00% in FY2012 (unchanged) and 100.00% in FY2011 (unchanged).
- Quarterly Gross Margin has moved between 95.18% (fiscal Q4 2014) and 458.21% (fiscal Q4 2015) over five years.
- Compared with a year earlier, Gross Margin was higher in two of the last eight quarters, with an average year-over-year change of +44.80 percentage points.
- The best year-over-year quarter for Gross Margin over five years was fiscal Q4 2015 (a gain of 363.03 percentage points); the worst was fiscal Q4 2014 (a drop of 4.82 percentage points).
- Per Business Quant data, AOXY's Gross Margin in the three fiscal quarters before Q3 2016 was 100.00% (Q2 2016), 100.18% (Q1 2016) and 458.21% (Q4 2015).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 23.31 Bn | 22.14 Bn | - | - |
| 2 | Eason Technology | 6.61 Bn | 6.61 Bn | - | - |
| 3 | LandBridge | 6.20 Bn | 6.54 Bn | 65.71 Mn | 98.30% |
| 4 | Millrose Properties | 4.06 Bn | 4.06 Bn | - | - |
| 5 | St Joe | 3.76 Bn | 3.26 Bn | 73.42 Mn | 46.23% |
| 6 | Vesta Real Estate Corporation, S.A.B. de C.V | 2.89 Bn | 2.89 Bn | - | - |
| 7 | Opendoor Technologies | 2.35 Bn | -1.47 Bn | 86.00 Mn | 9.74% |
| 8 | Forestar | 1.34 Bn | -3.23 Mn | 84.10 Mn | 20.66% |
| 9 | Five Point Holdings | 705.60 Mn | 734.37 Mn | -23.72 Mn | -170.62% |
| 10 | Advanced Oxygen Technologies | 263,435.59 | 110,046.59 | - | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2016 | 100.00% |
| Dec 31, 2015 | 100.00% |
| Sep 30, 2015 | 100.18% |
| Jun 30, 2015 | 458.21% |
| Mar 31, 2015 | 100.00% |
| Dec 31, 2014 | 100.00% |
| Sep 30, 2014 | 100.00% |
| Jun 30, 2014 | 95.18% |
| Mar 31, 2014 | 100.00% |
| Dec 31, 2013 | 100.00% |
| Sep 30, 2013 | 100.00% |
| Jun 30, 2013 | 100.00% |
| Mar 31, 2013 | 100.00% |
| Dec 31, 2012 | 100.00% |
| Sep 30, 2012 | 100.00% |
| Jun 30, 2012 | 100.00% |
| Mar 31, 2012 | 100.00% |
| Dec 31, 2011 | 100.00% |
| Sep 30, 2011 | 100.00% |
| Jun 30, 2011 | 100.00% |
Advanced Oxygen Technologies Gross 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=gross-margin&ticker=AOXY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-margin", "ticker": "AOXY", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=gross-margin&ticker=AOXY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();