Pharming (PHAR) Total Liabilities (2019 - 2026)
Pharming (PHAR) recorded Total Liabilities of $197.51 million in Q2 2026, down 4.5% from $206.75 million a year earlier and down 10.4% from the prior quarter.
Powered by 
Analysis
Pharming (PHAR) Total Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, Pharming reported Total Liabilities of $222.9 million, up 24.6% from FY2024.
- Annual Total Liabilities has a five-year compound annual growth rate of 0.4% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $178.92 million in FY2024 (-26.7%), $244.07 million in FY2023 (+10.4%), $221.16 million in FY2022 and $206,305 in FY2021 (-99.9%).
- The Q2 2026 figure is the lowest quarterly Total Liabilities since Q1 2025.
- On a year-over-year basis, Total Liabilities rose in four of the last eight quarters, with an average decline of 1.3%.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 24.6% in Q4 2025, against a decline of 99.9% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $220.44 million (Q1 2026), $222.9 million (Q4 2025) and $209.14 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 108.40 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 116.09 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 141.05 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 87.82 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 80.09 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 65.46 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 83.95 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 37.53 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 115.64 Bn |
| 10 | Pharming | 664.67 Mn | -129.70 Mn | 141.47 Mn | 197.51 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 197.51 Mn |
| Mar 31, 2026 | 220.44 Mn |
| Dec 31, 2025 | 222.86 Mn |
| Sep 30, 2025 | 209.14 Mn |
| Jun 30, 2025 | -45.55 Mn |
| Mar 31, 2025 | -87.10 Mn |
| Dec 31, 2024 | 178.92 Mn |
| Sep 30, 2024 | -61.57 Mn |
| Jun 30, 2024 | 194.99 Mn |
| Mar 31, 2024 | -37.99 Mn |
| Dec 31, 2023 | 244.07 Mn |
| Sep 30, 2023 | 226.53 Mn |
| Jun 30, 2023 | 229.43 Mn |
| Mar 31, 2023 | 223.65 Mn |
| Dec 31, 2022 | 221.16 Mn |
| Sep 30, 2022 | 182,069.00 |
| Jun 30, 2022 | 194.23 Mn |
| Mar 31, 2022 | 198.78 Mn |
| Dec 31, 2021 | 397.12 Mn |
| Sep 30, 2021 | 207.39 Mn |
API Access
Pharming Total 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-liabilities&ticker=PHAR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=PHAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();