Biodexa Pharmaceuticals (BDRX) Total Liabilities (2013 - 2026)
Biodexa Pharmaceuticals' Total Liabilities was $4.17 million in the quarter ended Jun 30, 2026, down 7.7% from $4.52 million a year earlier.
Biodexa Pharmaceuticals (BDRX) Total Liabilities (2013 - 2026) Analysis & Trends
As of Dec 31, 2025, Total Liabilities at Biodexa Pharmaceuticals came in at $8.93 million, up 8.2% from the prior year.
- Total Liabilities has now increased for three consecutive years, with a five-year compound annual growth rate of 17.5% (years ended Dec 2020 to Dec 2025).
- In earlier years, Total Liabilities was $8.26 million in the year ended Dec 31, 2024 (+13.2%), $7.29 million in the year ended Dec 31, 2023 (+149.4%), $2.92 million in the year ended Dec 31, 2022 (-13.6%) and $3.39 million in the year ended Dec 31, 2021 (-14.9%).
- The figure for the quarter ended Jun 30, 2026 marks the lowest quarterly Total Liabilities since the quarter ended Jun 30, 2023.
- Compared with a year earlier, Total Liabilities was higher in two of the last four quarters, with an average decline of 4.2%.
- The best year-over-year quarter for Total Liabilities over five years was the quarter ended Dec 31, 2023 (growth of 162.6%); the worst was the quarter ended Jun 30, 2022 (a decline of 56.4%).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 116.09 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 141.05 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 87.82 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | 80.09 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | 65.46 Bn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 83.95 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 37.53 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 115.64 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 7.18 Bn |
| 10 | Biodexa Pharmaceuticals | 41.06 Mn | 17.85 Mn | - | 4.17 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.17 Mn |
| Dec 31, 2025 | 9.01 Mn |
| Jun 30, 2025 | 4.52 Mn |
| Dec 31, 2024 | 8.29 Mn |
| Jun 30, 2024 | 6.62 Mn |
| Dec 31, 2023 | 7.28 Mn |
| Jun 30, 2023 | 3.33 Mn |
| Dec 31, 2022 | 2.77 Mn |
| Jun 30, 2022 | 2.76 Mn |
| Dec 31, 2021 | 3.32 Mn |
| Jun 30, 2021 | 6.32 Mn |
| Dec 31, 2020 | 4.09 Mn |
| Jun 30, 2020 | 9.25 Mn |
| Dec 31, 2019 | 14.58 Mn |
| Jun 30, 2019 | 4.87 Mn |
| Dec 31, 2018 | 4.53 Mn |
| Jun 30, 2018 | 17.00 Mn |
| Dec 31, 2017 | 19.31 Mn |
| Jun 30, 2017 | 10.82 Mn |
| Dec 31, 2016 | 13.63 Mn |
Biodexa Pharmaceuticals Total Liabilities 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=total-liabilities&ticker=BDRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=BDRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();