Biodexa Pharmaceuticals (BDRX) Revenue (2015 - 2022)
Biodexa Pharmaceuticals' Revenue came in at $473,897 for the year ended Dec 31, 2023, down 45.2% from $865,089 a year earlier.
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Analysis
Biodexa Pharmaceuticals (BDRX) Revenue (2015 - 2022) Analysis & Trends
Going back to the year ended Dec 31, 2013, Biodexa Pharmaceuticals' Revenue data covers 11 years.
- Revenue carries a five-year compound annual growth rate of -28.8% (years ended Dec 2018 to Dec 2023).
- The figure for the year ended Dec 31, 2023 represents the lowest annual Revenue since the year ended Dec 31, 2020.
- Per Business Quant, earlier years put Revenue at $865,089 in the year ended Dec 31, 2022 (+8.8%), $795,258 in the year ended Dec 31, 2021 (+80.6%), $440,462 in the year ended Dec 31, 2020 (-48.8%) and $860,589 in the year ended Dec 31, 2019 (-66.8%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,130.38 Bn | 1,098.96 Bn | 19.71 Bn | 22.97 Bn |
| 2 | Johnson & Johnson | 613.84 Bn | 532.37 Bn | 17.26 Bn | 25.31 Bn |
| 3 | AbbVie | 502.13 Bn | 475.24 Bn | 12.70 Bn | 16.99 Bn |
| 4 | Merck | 367.76 Bn | 322.14 Bn | 12.21 Bn | 16.61 Bn |
| 5 | Novartis Ag | 298.08 Bn | 262.07 Bn | 11.24 Bn | 14.41 Bn |
| 6 | Astrazeneca | 262.03 Bn | 235.71 Bn | 12.86 Bn | 15.38 Bn |
| 7 | Amgen | 235.81 Bn | 191.21 Bn | 7.24 Bn | 10.05 Bn |
| 8 | Gilead Sciences | 190.97 Bn | 165.17 Bn | 6.22 Bn | 7.80 Bn |
| 9 | Pfizer | 169.66 Bn | 116.31 Bn | 10.94 Bn | 15.03 Bn |
| 10 | Biodexa Pharmaceuticals | 3,915.67 | -23.40 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2022 | 589,359.05 |
| Dec 31, 2016 | -1.57 Mn |
| Dec 31, 2015 | 10.51 Mn |
API Access
Biodexa 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=BDRX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=BDRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();