Protalix BioTherapeutics (PLX) Total Non-Current Liabilities (2010 - 2026)
Protalix BioTherapeutics (PLX) reported Total Non-Current Liabilities of $7.54 million for Q2 2026, up 67.9% from $4.49 million a year earlier but down 2.3% from the prior quarter.
Powered by 
Analysis
Protalix BioTherapeutics (PLX) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Protalix BioTherapeutics posted Total Non-Current Liabilities of $7.6 million, up 65.7% from FY2024.
- Total Non-Current Liabilities has a five-year compound annual growth rate of -2.2% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $4.59 million in FY2024 (-14.1%), $5.34 million in FY2023 (-84.3%), $34 million in FY2022 (-26.9%) and $46.53 million in FY2021 (+447.5%).
- Five-year quarterly Total Non-Current Liabilities spans a low of $4.36 million in Q1 2025 and a high of $46.53 million in Q4 2021.
- Year over year, Total Non-Current Liabilities has now increased in each of the last four quarters, with growth averaging 25.5% over the last eight quarters.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q4 2021 (growth of 447.5%); the low point was Q1 2024 (a decline of 84.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $7.72 million (Q1 2026), $7.6 million (Q4 2025) and $7.41 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 60.66 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 105.50 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 106.45 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 80.25 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 48.34 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 33.91 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 78.66 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 35.10 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 97.04 Bn |
| 10 | Protalix BioTherapeutics | 207.16 Mn | 55.78 Mn | 12.13 Mn | 7.54 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.54 Mn |
| Mar 31, 2026 | 7.72 Mn |
| Dec 31, 2025 | 7.60 Mn |
| Sep 30, 2025 | 7.41 Mn |
| Jun 30, 2025 | 4.49 Mn |
| Mar 31, 2025 | 4.36 Mn |
| Dec 31, 2024 | 4.59 Mn |
| Sep 30, 2024 | 4.91 Mn |
| Jun 30, 2024 | 4.99 Mn |
| Mar 31, 2024 | 5.21 Mn |
| Dec 31, 2023 | 5.34 Mn |
| Sep 30, 2023 | 5.96 Mn |
| Jun 30, 2023 | 26.31 Mn |
| Mar 31, 2023 | 34.04 Mn |
| Dec 31, 2022 | 34.00 Mn |
| Sep 30, 2022 | 33.92 Mn |
| Jun 30, 2022 | 39.57 Mn |
| Mar 31, 2022 | 40.55 Mn |
| Dec 31, 2021 | 46.53 Mn |
| Sep 30, 2021 | 40.51 Mn |
API Access
Protalix BioTherapeutics 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=PLX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=PLX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();