Galmed Pharmaceuticals (EOCN) Return on Sales [ROS] (2016 - 2023)
Galmed Pharmaceuticals' Return on Sales [ROS] came in at 797.85% for Q2 2019, down 163.26 percentage points from 961.11% a year earlier.
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Analysis
Galmed Pharmaceuticals (EOCN) Return on Sales [ROS] (2016 - 2023) Analysis & Trends
For FY2018, Galmed Pharmaceuticals' Return on Sales [ROS] was 525.76%, down 613.78 percentage points from FY2017.
- Going back by year, Return on Sales [ROS] was 1139.54% in FY2017 (-2475.45 pp) and 3614.99% in FY2016.
- The five-year range for quarterly Return on Sales [ROS] is 78.67% (Q3 2018) to 1971.50% (Q3 2016).
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 | Galmed Pharmaceuticals | 2.06 Mn | -38.64 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2023 | -294.00% |
| Mar 31, 2022 | -277.78% |
| Mar 31, 2020 | 2,937.27% |
| Jun 30, 2019 | -836.34% |
| Mar 31, 2019 | 811.24% |
| Dec 31, 2018 | -798.09% |
| Sep 30, 2018 | 78.67% |
| Jun 30, 2018 | -1,027.78% |
| Mar 31, 2018 | 954.85% |
| Dec 31, 2017 | -7,694.89% |
| Sep 30, 2017 | 1,009.16% |
| Jun 30, 2017 | -1,000.37% |
| Mar 31, 2017 | 1,217.91% |
| Dec 31, 2016 | 1,734.67% |
| Sep 30, 2016 | 1,971.50% |
API Access
Galmed 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=EOCN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "EOCN", "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=EOCN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();