Biodexa Pharmaceuticals (BDRX) Net Cash Flow (2013 - 2018)
Biodexa Pharmaceuticals (BDRX) recorded Net Cash Flow of $9.05 million in the year ended Dec 31, 2025, compared with -$5.5 million a year earlier.
Biodexa Pharmaceuticals (BDRX) Net Cash Flow (2013 - 2018) Analysis & Trends
Starting with the year ended Dec 31, 2013, Biodexa Pharmaceuticals' Net Cash Flow history includes 13 years.
- The figure for the year ended Dec 31, 2025 is the highest annual Net Cash Flow since the year ended Dec 31, 2019.
- Per Business Quant data, BDRX's Net Cash Flow was -$5.5 million in the year ended Dec 31, 2024, $3.9 million in the year ended Dec 31, 2023, -$8.94 million in the year ended Dec 31, 2022 and $3.47 million in the year ended Dec 31, 2021.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | NCF (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | -1.27 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | -2.82 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 1.53 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | 757.00 Mn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | 1.62 Bn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 1.95 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | -4.43 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | -722.00 Mn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 652.90 Mn |
| 10 | Biodexa Pharmaceuticals | 41.06 Mn | 17.85 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | -6.92 Mn |
| Dec 31, 2017 | 2.24 Mn |
| Dec 31, 2016 | 1.54 Mn |
| Dec 31, 2015 | -21.51 Mn |
| Dec 31, 2014 | -10.08 Mn |
| Dec 31, 2013 | -7.26 Mn |
Biodexa Pharmaceuticals Net Cash Flow 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=net-cash-flow&ticker=BDRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-cash-flow", "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=net-cash-flow&ticker=BDRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();