Eloxx Pharmaceuticals (ELOX) Return on Sales [ROS] (2009 - 2015)
Eloxx Pharmaceuticals (ELOX) recorded Return on Sales [ROS] of -38.81% in FY2024.
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Analysis
Eloxx Pharmaceuticals (ELOX) Return on Sales [ROS] (2009 - 2015) Analysis & Trends
Starting with FY2010, Eloxx Pharmaceuticals' Return on Sales [ROS] history includes 5 years.
- The FY2024 figure is the highest annual Return on Sales [ROS] in data going back to FY2010.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 34.46% |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 24.35% |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 36.01% |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 30.74% |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 29.12% |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 35.79% |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 41.71% |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 32.98% |
| 10 | Eloxx Pharmaceuticals | 87.58 Mn | 13.90 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2015 | -6,201,918.66% |
| Mar 31, 2015 | -611,353.46% |
| Dec 31, 2014 | -1,080,112.76% |
| Sep 30, 2014 | -290,509.36% |
| Jun 30, 2014 | -135,790.88% |
| Sep 30, 2012 | -3,239.13% |
| Jun 30, 2012 | -3,193.41% |
| Mar 31, 2012 | -4,705.64% |
| Dec 31, 2011 | -728.07% |
| Jun 30, 2011 | -520.91% |
| Mar 31, 2011 | -444.96% |
| Dec 31, 2010 | -425.02% |
| Sep 30, 2010 | -138.70% |
| Jun 30, 2010 | -309.71% |
| Mar 31, 2010 | -274.39% |
| Dec 31, 2009 | -723.54% |
| Sep 30, 2009 | -67.84% |
| Jun 30, 2009 | -1,558.18% |
| Mar 31, 2009 | -1,330.32% |
API Access
Eloxx Pharmaceuticals 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=ELOX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "ELOX", "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=ELOX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();