Biodexa Pharmaceuticals (BDRX) Change in Receivables (2013 - 2016)
Biodexa Pharmaceuticals' Change in Receivables came in at $3.47 million for the year ended Dec 31, 2025, compared with -$7.64 million a year earlier.
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Analysis
Biodexa Pharmaceuticals (BDRX) Change in Receivables (2013 - 2016) Analysis & Trends
Going back to the year ended Dec 31, 2013, Biodexa Pharmaceuticals' Change in Receivables data covers 13 years.
- Change in Receivables carries a five-year compound annual growth rate of 40.5% (years ended Dec 2020 to Dec 2025).
- The figure for the year ended Dec 31, 2025 represents the highest annual Change in Receivables in data going back to the year ended Dec 31, 2013.
- Per Business Quant, earlier years put Change in Receivables at -$7.64 million in the year ended Dec 31, 2024, $453,995 in the year ended Dec 31, 2023, -$277,224 in the year ended Dec 31, 2022 and -$1.18 million in the year ended Dec 31, 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 1.35 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 1.37 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 | - |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 1.09 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 333.00 Mn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | - |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 140.20 Mn |
| 10 | Biodexa Pharmaceuticals | 41.69 Mn | 18.48 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2016 | -300,859.79 |
| Dec 31, 2015 | -2.34 Mn |
| Dec 31, 2013 | -715,630.38 |
API Access
Biodexa Pharmaceuticals Change in Receivables 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-receivables&ticker=BDRX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-receivables", "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-receivables&ticker=BDRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();