Pharming (PHAR) Total Debt (2019 - 2023)
Pharming (PHAR) recorded Total Debt of -$4.25 million in Q4 2024, compared with $2.02 million a year earlier.
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Analysis
Pharming (PHAR) Total Debt (2019 - 2023) Analysis & Trends
Starting with Q4 2019, Pharming's Total Debt history includes 12 quarters.
- Across earlier years, Total Debt came in at $2.02 million in FY2023 (unchanged), $2.02 million in FY2022 (unchanged), $2.02 million in FY2021 (-91.9%) and $25 million in FY2020 (-64.9%).
- The Q4 2024 figure is the lowest quarterly Total Debt in data going back to Q4 2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 49.50 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 44.65 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 80.90 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 53.78 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | -6.68 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 54.01 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 26.23 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 62.67 Bn |
| 10 | Pharming | 927.62 Mn | 229.29 Mn | 102.20 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2023 | 91,000.00 |
| Dec 31, 2022 | 228,000.00 |
| Sep 30, 2022 | 143,000.00 |
| Jun 30, 2022 | 223,000.00 |
| Mar 31, 2022 | 162,000.00 |
| Sep 30, 2021 | 386,000.00 |
| Jun 30, 2021 | 189,000.00 |
| Mar 31, 2021 | 189,000.00 |
| Dec 31, 2020 | 25.04 Mn |
| Dec 31, 2019 | 77.25 Mn |
API Access
Pharming Total Debt 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-debt&ticker=PHAR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "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-debt&ticker=PHAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();