Pharming (PHAR) Net Cash Flow (2020 - 2026)
Pharming (PHAR) posted Net Cash Flow of -$104.22 million for Q2 2026, compared with $29.15 million a year earlier.
Powered by 
Analysis
Pharming (PHAR) Net Cash Flow (2020 - 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 Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | NCF (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 3.72 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | -1.27 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | -2.82 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 1.53 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 757.00 Mn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | -3.94 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 1.95 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | -4.43 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | -722.00 Mn |
| 10 | Pharming | 664.67 Mn | -129.70 Mn | 141.47 Mn | -104.22 Mn |
Historic Data
Download Data
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 | -2.66 Mn |
| Sep 30, 2024 | 12.66 Mn |
| Jun 30, 2024 | -14.59 Mn |
| Dec 31, 2023 | 6.65 Mn |
| Sep 30, 2023 | -49.46 Mn |
| Jun 30, 2023 | -104.92 Mn |
| Dec 31, 2022 | -2.66 Mn |
| Sep 30, 2022 | 10.40 Mn |
| Dec 31, 2021 | 2.12 Mn |
| Sep 30, 2021 | -4.72 Mn |
| Dec 31, 2020 | 18.61 Mn |
| Sep 30, 2020 | 13.95 Mn |
API Access
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_KEYimport 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();