Eloxx Pharmaceuticals (ELOX) Revenue (2009 - 2017)
Eloxx Pharmaceuticals' Revenue was $6.36 million in FY2024.
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Analysis
Eloxx Pharmaceuticals (ELOX) Revenue (2009 - 2017) Analysis & Trends
From FY2010 onward, Eloxx Pharmaceuticals has reported Revenue for 5 years.
- The FY2024 figure marks the highest annual Revenue in data going back to FY2010.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 24.40 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 25.40 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 17.40 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 18.09 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 15.07 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 10.37 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 8.30 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 16.58 Bn |
| 10 | Eloxx Pharmaceuticals | 87.58 Mn | 13.90 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2017 | -127,425.00 |
| Mar 31, 2017 | -53,997.00 |
| Dec 31, 2016 | -1,890.00 |
| Sep 30, 2016 | -74.00 |
| Dec 31, 2015 | -89.00 |
| Sep 30, 2015 | -282.00 |
| Mar 31, 2015 | -2,080.00 |
| Dec 31, 2014 | 995.00 |
| Sep 30, 2014 | 1,785.00 |
| Jun 30, 2014 | 2,708.00 |
| Mar 31, 2014 | -17,811.00 |
| Dec 31, 2013 | -30,731.00 |
| Sep 30, 2013 | -31,604.00 |
| Jun 30, 2013 | -30,979.00 |
| Mar 31, 2013 | -19,848.00 |
| Sep 30, 2012 | -33,982.00 |
| Dec 31, 2011 | 200,000.00 |
| Sep 30, 2011 | -30,541.00 |
| Jun 30, 2011 | -27,385.00 |
| Mar 31, 2011 | -21,130.00 |
API Access
Eloxx Pharmaceuticals Revenue 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=revenue&ticker=ELOX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=ELOX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();