Protalix BioTherapeutics (PLX) Other Accumulated Expenses (2023 - 2026)
Protalix BioTherapeutics' Other Accumulated Expenses was $1.56 million in Q2 2026, up 104.1% from $763,000 a year earlier and up 60.0% from the prior quarter.
Protalix BioTherapeutics (PLX) Other Accumulated Expenses (2023 - 2026) Analysis & Trends
At the end of FY2025, Other Accumulated Expenses at Protalix BioTherapeutics came in at $799,000, down 26.0% from FY2024.
- In earlier years, Other Accumulated Expenses was $1.08 million in FY2024 (+69.5%) and $637,000 in FY2023.
- The Q2 2026 figure marks the highest quarterly Other Accumulated Expenses in data going back to Q4 2023.
- Compared with a year earlier, Other Accumulated Expenses was higher in three of the last four quarters, with growth averaging 93.0%.
- Per Business Quant data, PLX's Other Accumulated Expenses in the three quarters before Q2 2026 was $973,000 (Q1 2026), $799,000 (Q4 2025) and $558,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,144.36 Bn | 1,112.95 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 635.36 Bn | 555.22 Bn | 17.30 Bn |
| 3 | AbbVie | 502.79 Bn | 475.90 Bn | 12.70 Bn |
| 4 | Merck | 356.08 Bn | 310.46 Bn | 12.21 Bn |
| 5 | Novartis Ag | 300.87 Bn | 264.86 Bn | 11.24 Bn |
| 6 | Astrazeneca | 264.31 Bn | 237.99 Bn | 12.86 Bn |
| 7 | Amgen | 239.07 Bn | 194.47 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 194.50 Bn | 168.70 Bn | 6.22 Bn |
| 9 | Pfizer | 171.00 Bn | 117.64 Bn | 10.94 Bn |
| 10 | Protalix BioTherapeutics | 200.77 Mn | 49.38 Mn | 12.13 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.56 Mn |
| Mar 31, 2026 | 973,000.00 |
| Dec 31, 2025 | 799,000.00 |
| Sep 30, 2025 | 558,000.00 |
| Jun 30, 2025 | 763,000.00 |
| Mar 31, 2025 | 300,000.00 |
| Dec 31, 2024 | 1.08 Mn |
| Dec 31, 2023 | 637,000.00 |
Protalix BioTherapeutics Other Accumulated Expenses 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=other-accumulated-expenses&ticker=PLX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=PLX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();