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.
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Analysis
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 Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 108.40 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 116.09 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 141.05 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 87.82 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 80.09 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 65.46 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 83.95 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 37.53 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 115.64 Bn |
| 10 | Biodexa Pharmaceuticals | 4,123.69 | -23.40 Mn | - | 4.12 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.12 Mn |
| Dec 31, 2025 | 9.12 Mn |
| Jun 30, 2025 | 4.65 Mn |
| Dec 31, 2024 | 8.10 Mn |
| Jun 30, 2024 | 6.63 Mn |
| Dec 31, 2023 | 7.47 Mn |
| Jun 30, 2023 | 3.36 Mn |
| Dec 31, 2022 | 2.85 Mn |
| Dec 31, 2021 | 3.32 Mn |
| Jun 30, 2021 | 6.26 Mn |
| Dec 31, 2020 | 4.22 Mn |
| Jun 30, 2020 | 9.17 Mn |
| Dec 31, 2019 | 14.87 Mn |
| Jun 30, 2019 | 4.80 Mn |
| Dec 31, 2018 | 4.47 Mn |
| Jun 30, 2018 | 16.32 Mn |
| Dec 31, 2017 | 19.55 Mn |
| Jun 30, 2017 | 11.02 Mn |
| Dec 31, 2016 | 13.47 Mn |
| Jun 30, 2016 | 21.38 Mn |
API Access
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_KEYimport 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();