Biodexa Pharmaceuticals (BDRX) Operating Expenses (2013 - 2023)
Biodexa Pharmaceuticals' Operating Expenses was -$6.24 million in the quarter ended Jun 30, 2026, compared with -$5.39 million a year earlier.
Biodexa Pharmaceuticals (BDRX) Operating Expenses (2013 - 2023) Analysis & Trends
On a trailing twelve-month basis, Biodexa Pharmaceuticals' Operating Expenses was -$22.44 million through Jun 30, 2026; for the year ended Dec 31, 2025, it came in at -$11.6 million.
- In earlier years, Operating Expenses was -$11.8 million in the year ended Dec 31, 2024, -$10.46 million in the year ended Dec 31, 2023, -$11.95 million in the year ended Dec 31, 2022 and -$10.16 million in the year ended Dec 31, 2021.
- The figure for the quarter ended Jun 30, 2026 marks the lowest quarterly Operating Expenses since the quarter ended Dec 31, 2020.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 7.95 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 10.12 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 10.56 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 12.80 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 6.09 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 9.70 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 6.54 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 18.20 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 6.68 Bn |
| 10 | Biodexa Pharmaceuticals | 4,123.69 | -23.40 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2023 | 5.63 Mn |
| Dec 31, 2022 | -2.83 Mn |
| Dec 31, 2020 | -8.01 Mn |
| Dec 31, 2019 | -10.08 Mn |
| Dec 31, 2018 | -13.34 Mn |
| Dec 31, 2017 | -6,638.32 |
| Dec 31, 2016 | -1.26 Mn |
| Dec 31, 2015 | -10.14 Mn |
| Dec 31, 2014 | -5.77 Mn |
| Dec 31, 2013 | -3.12 Mn |
Biodexa Pharmaceuticals Operating Expenses 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=operating-expenses&ticker=BDRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=BDRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();