Biodexa Pharmaceuticals (BDRX) Gross Margin (2015 - 2018)
Biodexa Pharmaceuticals' Gross Margin was 56.56% in the year ended Dec 31, 2020, up 532.52 percentage points from -475.96% a year earlier.
Analysis
Biodexa Pharmaceuticals (BDRX) Gross Margin (2015 - 2018) Analysis & Trends
From the year ended Dec 31, 2013 onward, Biodexa Pharmaceuticals has reported Gross Margin for 8 years.
- Gross Margin shows a five-year change of -38.35 percentage points (years ended Dec 2015 to Dec 2020).
- The figure for the year ended Dec 31, 2020 marks the highest annual Gross Margin since the year ended Dec 31, 2017.
- Per Business Quant data, Gross Margin in earlier years was -475.96% in the year ended Dec 31, 2019 (-509.61 pp), 33.64% in the year ended Dec 31, 2018 (-640.98 pp), 674.62% in the year ended Dec 31, 2017 (+201.76 pp) and 472.86% in the year ended Dec 31, 2016 (+377.96 pp).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 68.19% |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 74.74% |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 73.54% |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | 78.02% |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | 83.60% |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 72.04% |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 79.76% |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 72.78% |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 85.33% |
| 10 | Biodexa Pharmaceuticals | 41.06 Mn | 17.85 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | -142.14% |
| Dec 31, 2017 | 66.87% |
| Dec 31, 2016 | 22.42% |
| Dec 31, 2015 | 87.81% |
API Access
Biodexa Pharmaceuticals Gross Margin 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=gross-margin&ticker=BDRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-margin", "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=gross-margin&ticker=BDRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();