Biodexa Pharmaceuticals (BDRX) Change in Taxes (2013 - 2016)
Biodexa Pharmaceuticals (BDRX) posted Change in Taxes of $932,187 for the year ended Dec 31, 2025, compared with -$319,569 a year earlier.
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Analysis
Biodexa Pharmaceuticals (BDRX) Change in Taxes (2013 - 2016) Analysis & Trends
Since the year ended Dec 31, 2013, Biodexa Pharmaceuticals has reported Change in Taxes for 13 years.
- Annual Change in Taxes shows a five-year compound annual growth rate of -18.0% (years ended Dec 2020 to Dec 2025).
- Annual Change in Taxes has run from a low of -$1.03 million in the year ended Dec 31, 2022 to a high of $1.59 million in the year ended Dec 31, 2021 over five years.
- Business Quant data shows BDRX's Change in Taxes at -$319,569 in the year ended Dec 31, 2024, $1.05 million in the year ended Dec 31, 2023, -$1.03 million in the year ended Dec 31, 2022 and $1.59 million in the year ended Dec 31, 2021 (-36.6%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | - |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | -2.22 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | - |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | - |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -1.53 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | -131.00 Mn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 171.00 Mn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | - |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | - |
| 10 | Biodexa Pharmaceuticals | 41.69 Mn | 18.48 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2016 | -11.39 Mn |
| Dec 31, 2015 | -1.72 Mn |
| Dec 31, 2014 | -1.61 Mn |
| Dec 31, 2013 | -1.29 Mn |
API Access
Biodexa Pharmaceuticals Change in Taxes 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=change-in-taxes&ticker=BDRX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-taxes", "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=change-in-taxes&ticker=BDRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();