Bioxytran (BIXT) Operating Margin (2010 - 2018)
Bioxytran (BIXT) reported Operating Margin of -1.35% for Q2 2018, up 653.46 percentage points from -654.81% a year earlier and up 3.68 percentage points from the prior quarter.
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Analysis
Bioxytran (BIXT) Operating Margin (2010 - 2018) Analysis & Trends
Over the twelve months ended Jun 30, 2018, Bioxytran's Operating Margin came in at -20.54%, up 171.42 percentage points year-over-year; for FY2017, it came in at -162.55%, up 109.78 percentage points from FY2016.
- Operating Margin has a five-year change of +569.22 percentage points (FY2012 to FY2017).
- By year, Operating Margin came in at -272.33% in FY2016 (+545.56 pp), -817.88% in FY2015 (-353.22 pp), -464.67% in FY2014 (+7.97 pp) and -472.64% in FY2013 (+259.13 pp).
- Five-year quarterly Operating Margin spans a low of -3222.32% in Q2 2015 and a high of 235.79% in Q4 2016.
- Year over year, Operating Margin gained in four of the last seven quarters, with an average year-over-year change of +179.31 percentage points.
- The high point for year-over-year Operating Margin in five years was Q3 2013 (a gain of 4405.30 percentage points); the low point was Q2 2015 (a drop of 3073.93 percentage points).
- Per Business Quant data, the three quarters before Q2 2018 came in at -5.03% (Q1 2018), -268.45% (Q4 2017) and 45.40% (Q3 2017).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 28.21% |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 37.86% |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | -3.52% |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 32.97% |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 20.57% |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 34.95% |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | -133.21% |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 28.37% |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 37.40% |
| 10 | Bioxytran | 2.29 Mn | 1.13 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2018 | -1.35% |
| Mar 31, 2018 | -5.03% |
| Dec 31, 2017 | -268.45% |
| Sep 30, 2017 | 45.40% |
| Jun 30, 2017 | -654.81% |
| Mar 31, 2017 | -842.33% |
| Dec 31, 2016 | 235.79% |
| Sep 30, 2016 | -209.65% |
| Jun 30, 2016 | -257.73% |
| Mar 31, 2016 | -1,437.24% |
| Sep 30, 2015 | -25.41% |
| Jun 30, 2015 | -3,222.32% |
| Mar 31, 2015 | -59.54% |
| Sep 30, 2014 | -2,685.23% |
| Jun 30, 2014 | -148.40% |
| Mar 31, 2014 | 31.56% |
| Dec 31, 2013 | -62.56% |
| Sep 30, 2013 | -493.85% |
| Jun 30, 2013 | -638.65% |
| Mar 31, 2013 | -851.25% |
API Access
Bioxytran Operating 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=operating-margin&ticker=BIXT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "ticker": "BIXT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=operating-margin&ticker=BIXT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();