Protalix BioTherapeutics (PLX) Long-Term Debt Repayments (2009 - 2021)
Protalix BioTherapeutics (PLX) recorded Long-Term Debt Repayments of $20.42 million in FY2024.
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Analysis
Protalix BioTherapeutics (PLX) Long-Term Debt Repayments (2009 - 2021) Analysis & Trends
Starting with FY2017, Protalix BioTherapeutics' Long-Term Debt Repayments history includes 5 years.
- Annual Long-Term Debt Repayments has a four-year compound annual growth rate of 212.2% (FY2020 to FY2024).
- The FY2024 figure is the highest annual Long-Term Debt Repayments since FY2021.
- Per Business Quant data, PLX's Long-Term Debt Repayments was $30.04 million in FY2021 and $215,000 in FY2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | - |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 1.00 Mn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | - |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | - |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | -4.91 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 3.05 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 19.00 Mn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | - |
| 10 | Protalix BioTherapeutics | 230.43 Mn | 59.88 Mn | 14.05 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2021 | 4.05 Mn |
| Sep 30, 2021 | 25.99 Mn |
| Mar 31, 2021 | 4.09 Mn |
| Jun 30, 2018 | 4.74 Mn |
| Mar 31, 2018 | 11,668.00 |
| Jun 30, 2017 | 4.24 Mn |
| Mar 31, 2017 | 6.73 Mn |
| Mar 31, 2009 | -1.00 Mn |
API Access
Protalix BioTherapeutics Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=PLX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "PLX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=long-term-debt-repayments&ticker=PLX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();