Pharming (PHAR) Capital Expenditures (2019 - 2026)
Pharming (PHAR) recorded Capital Expenditures of -$321,000 in Q2 2026, compared with -$410,000 a year earlier.
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Analysis
Pharming (PHAR) Capital Expenditures (2019 - 2026) Analysis & Trends
On a TTM basis, Pharming's Capital Expenditures came in at -$2.27 million as of Jun 30, 2026; for FY2025, it came in at $749,000, down 6.4% from FY2024.
- Across earlier years, Capital Expenditures came in at $800,000 in FY2024 (-44.3%), $1.44 million in FY2023, -$1.38 million in FY2022 and -$10.74 million in FY2021.
- The Q2 2026 figure is the highest quarterly Capital Expenditures since Q2 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 1.32 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 322.00 Mn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 893.00 Mn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | -321.00 Mn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -763.00 Mn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 513.00 Mn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 140.00 Mn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 533.00 Mn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 112.20 Mn |
| 10 | Pharming | 700.98 Mn | -129.18 Mn | 141.47 Mn | -321,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -321,000.00 |
| Dec 31, 2025 | -749,000.00 |
| Jun 30, 2025 | -410,000.00 |
| Dec 31, 2024 | -790,000.00 |
| Sep 30, 2024 | -366,000.00 |
| Jun 30, 2024 | -294,000.00 |
| Dec 31, 2023 | -1.44 Mn |
| Sep 30, 2023 | -147,000.00 |
| Jun 30, 2023 | -986,000.00 |
| Dec 31, 2022 | -1.38 Mn |
| Sep 30, 2022 | -342,000.00 |
| Dec 31, 2021 | -10.74 Mn |
| Sep 30, 2021 | -2.02 Mn |
| Dec 31, 2020 | -4,859.77 |
| Sep 30, 2020 | -398,314.34 |
| Dec 31, 2019 | -2.61 Mn |
API Access
Pharming Capital Expenditures 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=capital-expenditures&ticker=PHAR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=PHAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();