Pharming (PHAR) Non-Current Assets (2019 - 2026)
Pharming (PHAR) reported Non-Current Assets of $187.3 million for Q2 2026, down 6.6% from $200.48 million a year earlier and down 3.4% from the prior quarter.
Pharming (PHAR) Non-Current Assets (2019 - 2026) Analysis & Trends
At the end of FY2025, Pharming posted Non-Current Assets of $200.5 million, up 65.0% from FY2024.
- Non-Current Assets has a five-year compound annual growth rate of 5.2% (FY2020 to FY2025).
- By year, Non-Current Assets came in at $121.55 million in FY2024 (-17.0%), $146.51 million in FY2023 (-1.2%), $148.3 million in FY2022 (+0.3%) and $147.87 million in FY2021 (-4.7%).
- The Q2 2026 figure ranks as the lowest quarterly Non-Current Assets since Q4 2024.
- Year over year, Non-Current Assets gained in five of the last eight quarters, with growth averaging 18.5%.
- The high point for year-over-year Non-Current Assets in five years was Q4 2025 (growth of 65.0%); the low point was Q3 2022 (a decline of 99.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $193.85 million (Q1 2026), $200.5 million (Q4 2025) and $196.19 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 141.29 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 101.45 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 125.00 Mn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 94.68 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 87.87 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 60.68 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 35.42 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 159.77 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 14.88 Bn |
| 10 | Pharming | 738.17 Mn | -91.99 Mn | 141.47 Mn | 187.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 187.30 Mn |
| Mar 31, 2026 | 193.85 Mn |
| Dec 31, 2025 | 200.50 Mn |
| Sep 30, 2025 | 196.19 Mn |
| Jun 30, 2025 | 200.48 Mn |
| Mar 31, 2025 | 189.08 Mn |
| Dec 31, 2024 | 121.55 Mn |
| Sep 30, 2024 | 143.32 Mn |
| Jun 30, 2024 | 145.30 Mn |
| Mar 31, 2024 | 145.12 Mn |
| Dec 31, 2023 | 146.51 Mn |
| Sep 30, 2023 | 144.73 Mn |
| Jun 30, 2023 | 151.23 Mn |
| Mar 31, 2023 | 156.94 Mn |
| Dec 31, 2022 | 148.30 Mn |
| Sep 30, 2022 | 130,275.00 |
| Jun 30, 2022 | 136.92 Mn |
| Mar 31, 2022 | 141.85 Mn |
| Dec 31, 2021 | 149,250.46 |
| Sep 30, 2021 | 158.73 Mn |
Pharming Non-Current Assets 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=non-current-assets&ticker=PHAR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=PHAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();