Protalix BioTherapeutics (PLX) Non Operating Interest Expenses (2024 - 2025)
Protalix BioTherapeutics' Non Operating Interest Expenses was $6,000 in Q1 2025, down 85.4% from the prior quarter.
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Analysis
Protalix BioTherapeutics (PLX) Non Operating Interest Expenses (2024 - 2025) Analysis & Trends
On a trailing twelve-month basis, Protalix BioTherapeutics' Non Operating Interest Expenses was $686,000 through Mar 31, 2025; for FY2024, it came in at $1.06 million, down 66.6% from FY2023.
- In earlier years, Non Operating Interest Expenses was $3.18 million in FY2023.
- Per Business Quant data, PLX's Non Operating Interest Expenses in the three quarters before Q1 2025 was $41,000 (Q4 2024), $260,000 (Q3 2024) and $379,000 (Q2 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 281.00 Mn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | - |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 462.00 Mn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 435.00 Mn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 673.00 Mn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 247.00 Mn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | - |
| 10 | Protalix BioTherapeutics | 207.16 Mn | 55.78 Mn | 12.13 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2025 | 6,000.00 |
| Dec 31, 2024 | 41,000.00 |
| Sep 30, 2024 | 260,000.00 |
| Jun 30, 2024 | 379,000.00 |
API Access
Protalix BioTherapeutics Non Operating Interest 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=non-operating-interest-expenses&ticker=PLX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=PLX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();