Biodexa Pharmaceuticals (BDRX) EBT (2013 - 2023)
Biodexa Pharmaceuticals' EBT came in at -$2.41 million for the quarter ended Jun 30, 2026, compared with -$5.3 million a year earlier.
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Analysis
Biodexa Pharmaceuticals (BDRX) EBT (2013 - 2023) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Biodexa Pharmaceuticals reported EBT of -$17.4 million; for the year ended Dec 31, 2025, it was -$8.56 million.
- Going back by year, EBT was -$7.64 million in the year ended Dec 31, 2024, -$9.31 million in the year ended Dec 31, 2023, -$10.5 million in the year ended Dec 31, 2022 and -$8.4 million in the year ended Dec 31, 2021.
- The figure for the quarter ended Jun 30, 2026 represents the highest quarterly EBT in data going back to the quarter ended Dec 31, 2013.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBT (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 9.25 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 6.75 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 4.28 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | -683.00 Mn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 4.27 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 2.80 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 2.77 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | -10.25 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | -653.00 Mn |
| 10 | Biodexa Pharmaceuticals | 4,123.69 | -23.40 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2023 | -4.83 Mn |
| Dec 31, 2022 | -3.99 Mn |
| Dec 31, 2020 | -30.99 Mn |
| Dec 31, 2019 | -14.04 Mn |
| Dec 31, 2018 | -15.96 Mn |
| Dec 31, 2016 | 2.89 Mn |
| Dec 31, 2015 | -44.50 Mn |
| Dec 31, 2014 | -15.59 Mn |
| Dec 31, 2013 | -7.91 Mn |
API Access
Biodexa Pharmaceuticals EBT 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=ebt&ticker=BDRX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt", "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=ebt&ticker=BDRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();