Pharming (PHAR) Total Non-Current Liabilities (2019 - 2026)
Pharming (PHAR) posted Total Non-Current Liabilities of $104.25 million for Q2 2026, down 12.2% from $118.77 million a year earlier and down 3.5% from the prior quarter.
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Analysis
Pharming (PHAR) Total Non-Current Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, Pharming's Total Non-Current Liabilities came in at $107.07 million, up 1.9% from FY2024.
- Annual Total Non-Current Liabilities shows a five-year compound annual growth rate of -7.5% (FY2020 to FY2025).
- In prior years, Pharming's Total Non-Current Liabilities was $105.12 million in FY2024 (-36.7%), $166.11 million in FY2023 (+2.9%), $161.46 million in FY2022 (+2.4%) and $157.63 million in FY2021 (-0.3%).
- The Q2 2026 figure stands as the lowest quarterly Total Non-Current Liabilities since Q1 2024.
- On a year-over-year basis, Total Non-Current Liabilities increased in four of the last eight quarters, with growth averaging 27.4%.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q1 2025, with growth of 288.1%; the weakest was Q3 2022, with a decline of 99.9%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $108.06 million (Q1 2026), $107.07 million (Q4 2025) and $121.23 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 105.99 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 106.45 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 80.25 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 48.34 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -967.00 Mn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 81.11 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 36.04 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 100.86 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 5.92 Bn |
| 10 | Pharming | 738.17 Mn | -91.99 Mn | 141.47 Mn | 104.25 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 104.25 Mn |
| Mar 31, 2026 | 108.06 Mn |
| Dec 31, 2025 | 107.07 Mn |
| Sep 30, 2025 | 121.23 Mn |
| Jun 30, 2025 | 118.77 Mn |
| Mar 31, 2025 | 110.36 Mn |
| Dec 31, 2024 | 105.12 Mn |
| Sep 30, 2024 | 119.88 Mn |
| Jun 30, 2024 | 115.05 Mn |
| Mar 31, 2024 | 28.44 Mn |
| Dec 31, 2023 | 166.11 Mn |
| Sep 30, 2023 | 158.47 Mn |
| Jun 30, 2023 | 164.48 Mn |
| Mar 31, 2023 | 164.65 Mn |
| Dec 31, 2022 | 161.46 Mn |
| Sep 30, 2022 | 135,375.00 |
| Jun 30, 2022 | 145.03 Mn |
| Mar 31, 2022 | 153.63 Mn |
| Dec 31, 2021 | 159,098.90 |
| Sep 30, 2021 | 160.67 Mn |
API Access
Pharming Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=PHAR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=PHAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();