Pharming (PHAR) Net Cash Flow (2019 - 2026)
Pharming (PHAR) posted Net Cash Flow of -$104.22 million for Q2 2026, compared with $29.15 million a year earlier.
Pharming (PHAR) Net Cash Flow (2019 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Net Cash Flow at Pharming was -$109.37 million; for FY2025, it was $82.46 million.
- Annual Net Cash Flow shows a five-year compound annual growth rate of 303.0% (FY2020 to FY2025).
- In prior years, Pharming's Net Cash Flow was -$4.59 million in FY2024, -$147.73 million in FY2023, $22.8 million in FY2022 and -$11.41 million in FY2021.
- The Q2 2026 figure stands as the lowest quarterly Net Cash Flow since Q4 2023.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | NCF (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | -1.27 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | -2.82 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 1.53 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 757.00 Mn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 1.62 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 1.95 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | -4.43 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | -722.00 Mn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 652.90 Mn |
| 10 | Pharming | 738.17 Mn | -91.99 Mn | 141.47 Mn | -104.22 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -104.22 Mn |
| Dec 31, 2025 | 11.70 Mn |
| Jun 30, 2025 | 29.15 Mn |
| Dec 31, 2024 | -46.00 Mn |
| Sep 30, 2024 | 12.66 Mn |
| Jun 30, 2024 | -14.59 Mn |
| Dec 31, 2023 | -147.73 Mn |
| Sep 30, 2023 | -49.46 Mn |
| Jun 30, 2023 | -104.92 Mn |
| Dec 31, 2022 | -4.75 Mn |
| Sep 30, 2022 | 10.40 Mn |
| Dec 31, 2021 | -11,003.86 |
| Sep 30, 2021 | -4.72 Mn |
| Dec 31, 2020 | -128.63 Mn |
| Sep 30, 2020 | 13.95 Mn |
| Dec 31, 2019 | -90.61 Mn |
Pharming 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=PHAR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-cash-flow", "ticker": "PHAR", "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=PHAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();