Biodexa Pharmaceuticals (BDRX) Net Income (2013 - 2023)
Biodexa Pharmaceuticals (BDRX) recorded Net Income of -$2.35 million in the quarter ended Jun 30, 2026, compared with -$5.3 million a year earlier.
Biodexa Pharmaceuticals (BDRX) Net Income (2013 - 2023) Analysis & Trends
On a TTM basis, Biodexa Pharmaceuticals' Net Income came in at -$17.72 million as of Jun 30, 2026; for the year ended Dec 31, 2025, it was -$8.42 million.
- Across earlier years, Net Income came in at -$7.32 million in the year ended Dec 31, 2024, -$8.81 million in the year ended Dec 31, 2023, -$9.48 million in the year ended Dec 31, 2022 and -$7.51 million in the year ended Dec 31, 2021.
- The figure for the quarter ended Jun 30, 2026 is the highest quarterly Net Income since the quarter ended Dec 31, 2022.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Income (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 7.10 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 5.53 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 3.62 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | -1.34 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 3.26 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 2.51 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 2.38 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | -10.50 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | -248.00 Mn |
| 10 | Biodexa Pharmaceuticals | 4,123.69 | -23.40 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2023 | -4.10 Mn |
| Dec 31, 2022 | -4.38 Mn |
| Dec 31, 2020 | -29.30 Mn |
| Dec 31, 2019 | -12.97 Mn |
| Dec 31, 2018 | -19.34 Mn |
| Dec 31, 2016 | -25.07 Mn |
| Dec 31, 2015 | -15.33 Mn |
| Dec 31, 2014 | -13.98 Mn |
| Dec 31, 2013 | -7.91 Mn |
Biodexa Pharmaceuticals Net Income 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=net-income&ticker=BDRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-income", "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=net-income&ticker=BDRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();