Pharming (PHAR) Other Accumulated Expenses (2019 - 2025)
Pharming's Other Accumulated Expenses was $8.78 million in Q4 2025, up 48.2% from $5.92 million a year earlier.
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Analysis
Pharming (PHAR) Other Accumulated Expenses (2019 - 2025) Analysis & Trends
From Q4 2019 onward, Pharming has reported Other Accumulated Expenses for 12 quarters.
- In earlier years, Other Accumulated Expenses was $5.92 million in FY2024 (+70.0%), $3.48 million in FY2023, -$1.58 million in FY2022 and -$625,000 in FY2021.
- The Q4 2025 figure marks the highest quarterly Other Accumulated Expenses in data going back to Q4 2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn |
| 10 | Pharming | 684.14 Mn | -146.02 Mn | 141.47 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 8.78 Mn |
| Dec 31, 2024 | 5.92 Mn |
| Dec 31, 2023 | -1.08 Mn |
| Sep 30, 2023 | -1.13 Mn |
| Jun 30, 2023 | -1.74 Mn |
| Dec 31, 2022 | -1.58 Mn |
| Dec 31, 2021 | 505,635.16 |
| Sep 30, 2021 | 272,000.00 |
| Jun 30, 2021 | 229,000.00 |
| Dec 31, 2020 | -1,694.24 |
| Sep 30, 2020 | 2.49 Mn |
| Dec 31, 2019 | -1.60 Mn |
API Access
Pharming Other 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=other-accumulated-expenses&ticker=PHAR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-accumulated-expenses&ticker=PHAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();