Bioxytran (BIXT) Return on Sales [ROS] (2010 - 2018)
Bioxytran (BIXT) recorded Return on Sales [ROS] of -1.35% in 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) Return on Sales [ROS] (2010 - 2018) Analysis & Trends
On a TTM basis, Bioxytran's Return on Sales [ROS] came in at -20.54% as of Jun 30, 2018, up 171.42 percentage points year-over-year; for FY2017, it was -162.55%, up 109.78 percentage points from FY2016.
- Annual Return on Sales [ROS] has a five-year change of +569.22 percentage points (FY2012 to FY2017).
- Across earlier years, Return on Sales [ROS] 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).
- Quarterly Return on Sales [ROS] has ranged from -3222.32% in Q2 2015 to 235.79% in Q4 2016 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] rose in four of the last seven quarters, with an average year-over-year change of +179.31 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 4405.30 percentage points in Q3 2013, against a drop of 3073.93 percentage points in Q2 2015 at the low end.
- Per Business Quant, the preceding three quarters 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) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn | 51.16% |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn | 28.21% |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn | 37.86% |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn | -3.52% |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn | 32.97% |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn | 20.57% |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn | 34.95% |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn | -133.21% |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn | 28.37% |
| 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% |
| Dec 31, 2014 | -464.67% |
| 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% |
API Access
Bioxytran Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=BIXT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=BIXT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();