Pharming (PHAR) Accumulated Expenses (2019 - 2025)
Pharming (PHAR) posted Accumulated Expenses of $4.76 million for Q4 2025, up 18.5% from $4.02 million a year earlier.
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Analysis
Pharming (PHAR) Accumulated Expenses (2019 - 2025) Analysis & Trends
Since Q4 2019, Pharming has reported Accumulated Expenses for 7 quarters.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of 0.0% (FY2020 to FY2025).
- In prior years, Pharming's Accumulated Expenses was $4.02 million in FY2024 (-3.3%), $4.15 million in FY2023 (+104.9%), $2.03 million in FY2022 (-11.5%) and $2.29 million in FY2021 (-51.9%).
- The Q4 2025 figure stands as the highest quarterly Accumulated Expenses since Q4 2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 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 |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn |
| 10 | Pharming | 700.98 Mn | -129.18 Mn | 141.47 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 4.76 Mn |
| Dec 31, 2024 | 4.02 Mn |
| Dec 31, 2023 | 4.15 Mn |
| Dec 31, 2022 | 2.03 Mn |
| Dec 31, 2021 | 2.29 Mn |
| Dec 31, 2020 | 4.97 Mn |
| Dec 31, 2019 | 3.56 Mn |
API Access
Pharming Accumulated Expenses 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=accumulated-expenses&ticker=PHAR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=PHAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();