Biodexa Pharmaceuticals (BDRX) Return on Sales [ROS] (2015 - 2018)
Biodexa Pharmaceuticals (BDRX) reported Return on Sales [ROS] of -2103.41% for the year ended Dec 31, 2023, down 825.59 percentage points from -1277.83% a year earlier.
Biodexa Pharmaceuticals (BDRX) Return on Sales [ROS] (2015 - 2018) Analysis & Trends
Dating back to the year ended Dec 31, 2013, Biodexa Pharmaceuticals' Return on Sales [ROS] record includes 11 years.
- Return on Sales [ROS] has a five-year change of -1493.76 percentage points (years ended Dec 2018 to Dec 2023).
- The figure for the year ended Dec 31, 2023 ranks as the lowest annual Return on Sales [ROS] since the year ended Dec 31, 2020.
- According to Business Quant data, Return on Sales [ROS] came in at -1277.83% in the year ended Dec 31, 2022 (-67.10 pp), -1210.73% in the year ended Dec 31, 2021 (+5506.47 pp), -6717.20% in the year ended Dec 31, 2020 (-5037.97 pp) and -1679.23% in the year ended Dec 31, 2019 (-1069.58 pp).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 51.16% |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 28.21% |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 37.86% |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | -3.52% |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 32.97% |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 20.57% |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 34.95% |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | -133.21% |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 28.37% |
| 10 | Biodexa Pharmaceuticals | 39.17 Mn | 15.95 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | -304.35% |
| Dec 31, 2017 | -120.09% |
| Dec 31, 2016 | -283.11% |
| Dec 31, 2015 | -231.35% |
Biodexa 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=BDRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "BDRX", "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=BDRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();