Pharming (PHAR) Total Liabilities (2019 - 2026)
Pharming (PHAR) recorded Total Liabilities of $205.4 million in Q3 2026, compared with -$33.93 million a year earlier and up 4.0% from the prior quarter.
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Analysis
Pharming (PHAR) Total Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, Pharming reported Total Liabilities of $222.86 million, up 24.6% from FY2024.
- Annual Total Liabilities has a five-year compound annual growth rate of -1.1% (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 (+8.2%) and $204.4 million in FY2021 (-13.0%).
- Quarterly Total Liabilities has ranged from -$87.1 million in Q1 2025 to $397.12 million in Q4 2021 over the past five years.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 68.7% in Q4 2021, against a decline of 99.9% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $197.51 million (Q2 2026), $220.44 million (Q1 2026) and $222.86 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,264.65 Bn | 1,238.27 Bn | 20.46 Bn | 107.80 Bn |
| 2 | Johnson & Johnson | 677.74 Bn | 597.60 Bn | 17.30 Bn | 115.90 Bn |
| 3 | AbbVie | 517.10 Bn | 485.11 Bn | 13.12 Bn | 152.26 Bn |
| 4 | Merck | 362.23 Bn | 325.17 Bn | 13.19 Bn | 87.83 Bn |
| 5 | Novartis Ag | 315.90 Bn | 276.16 Bn | 11.24 Bn | 80.09 Bn |
| 6 | Astrazeneca | 289.40 Bn | 266.24 Bn | 12.86 Bn | 65.46 Bn |
| 7 | Amgen | 249.90 Bn | 201.56 Bn | 7.58 Bn | 81.70 Bn |
| 8 | Gilead Sciences | 209.15 Bn | 184.26 Bn | 6.73 Bn | 38.37 Bn |
| 9 | Pfizer | 165.88 Bn | 113.23 Bn | 12.56 Bn | 115.70 Bn |
| 10 | Pharming | 898.85 Mn | 429.52 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 205.40 Mn |
| Jun 30, 2026 | 197.51 Mn |
| Mar 31, 2026 | 220.41 Mn |
| Dec 31, 2025 | 222.86 Mn |
| Sep 30, 2025 | -33.93 Mn |
| Jun 30, 2025 | -45.55 Mn |
| Mar 31, 2025 | -87.12 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 |
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();