Protalix BioTherapeutics (PLX) Total Current Liabilities (2010 - 2026)
Protalix BioTherapeutics' Total Current Liabilities was $31.39 million in Q2 2026, up 30.3% from $24.09 million a year earlier and up 14.6% from the prior quarter.
Protalix BioTherapeutics (PLX) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Total Current Liabilities at Protalix BioTherapeutics came in at $26.52 million, up 3.5% from FY2024.
- Total Current Liabilities shows a five-year compound annual growth rate of -21.1% (FY2020 to FY2025).
- In earlier years, Total Current Liabilities was $25.62 million in FY2024 (-43.7%), $45.53 million in FY2023 (+40.4%), $32.43 million in FY2022 (-2.3%) and $33.18 million in FY2021 (-61.6%).
- The Q2 2026 figure marks the highest quarterly Total Current Liabilities since Q2 2024.
- Compared with a year earlier, Total Current Liabilities has increased for three straight quarters, with an average decline of 20.6% over the last eight quarters.
- The best year-over-year quarter for Total Current Liabilities over five years was Q2 2024 (growth of 150.9%); the worst was Q2 2022 (a decline of 67.8%).
- Per Business Quant data, PLX's Total Current Liabilities in the three quarters before Q2 2026 was $27.39 million (Q1 2026), $26.52 million (Q4 2025) and $21.95 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 47.74 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 54.90 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 41.64 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 27.73 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 31.75 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 31.55 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 25.50 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 11.02 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 32.65 Bn |
| 10 | Protalix BioTherapeutics | 207.16 Mn | 55.78 Mn | 12.13 Mn | 31.39 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 31.39 Mn |
| Mar 31, 2026 | 27.39 Mn |
| Dec 31, 2025 | 26.52 Mn |
| Sep 30, 2025 | 21.95 Mn |
| Jun 30, 2025 | 24.09 Mn |
| Mar 31, 2025 | 24.32 Mn |
| Dec 31, 2024 | 25.62 Mn |
| Sep 30, 2024 | 24.22 Mn |
| Jun 30, 2024 | 57.97 Mn |
| Mar 31, 2024 | 54.83 Mn |
| Dec 31, 2023 | 45.53 Mn |
| Sep 30, 2023 | 43.36 Mn |
| Jun 30, 2023 | 23.11 Mn |
| Mar 31, 2023 | 31.52 Mn |
| Dec 31, 2022 | 32.43 Mn |
| Sep 30, 2022 | 34.30 Mn |
| Jun 30, 2022 | 30.96 Mn |
| Mar 31, 2022 | 35.33 Mn |
| Dec 31, 2021 | 33.18 Mn |
| Sep 30, 2021 | 42.76 Mn |
Protalix BioTherapeutics Total 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-current-liabilities&ticker=PLX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=PLX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();