Protalix BioTherapeutics (PLX) Return on Sales [ROS] (2010 - 2026)
Protalix BioTherapeutics (PLX) reported Return on Sales [ROS] of 23.48% for Q2 2026, up 16.00 percentage points from 7.48% a year earlier but down 39.17 percentage points from the prior quarter.
Protalix BioTherapeutics (PLX) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Protalix BioTherapeutics' Return on Sales [ROS] came in at 28.89%, up 15.61 percentage points year-over-year; for FY2025, it was -10.43%, down 17.76 percentage points from FY2024.
- Return on Sales [ROS] has a five-year change of -14.74 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at 7.34% in FY2024 (-8.64 pp), 15.97% in FY2023 (+43.29 pp), -27.32% in FY2022 (+26.04 pp) and -53.36% in FY2021 (-57.66 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of -129.56% in Q1 2024 and a high of 62.65% in Q1 2026.
- Year over year, Return on Sales [ROS] gained in six of the last eight quarters, with an average year-over-year change of +33.30 percentage points.
- The high point for year-over-year Return on Sales [ROS] in five years was Q2 2023 (a gain of 121.33 percentage points); the low point was Q1 2024 (a drop of 103.92 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 62.65% (Q1 2026), -51.06% (Q4 2025) and 11.94% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,230.11 Bn | 1,198.70 Bn | 19.71 Bn | 51.16% |
| 2 | Johnson & Johnson | 644.39 Bn | 564.25 Bn | 17.30 Bn | 24.35% |
| 3 | AbbVie | 503.52 Bn | 476.68 Bn | 12.70 Bn | 37.86% |
| 4 | Merck | 363.29 Bn | 317.72 Bn | 12.21 Bn | -3.52% |
| 5 | Novartis Ag | 298.23 Bn | 262.62 Bn | 11.24 Bn | 32.97% |
| 6 | Astrazeneca | 267.53 Bn | 241.29 Bn | 12.86 Bn | 20.57% |
| 7 | Amgen | 241.80 Bn | 197.20 Bn | 7.24 Bn | 34.95% |
| 8 | Gilead Sciences | 195.07 Bn | 169.19 Bn | 6.22 Bn | -133.21% |
| 9 | Pfizer | 173.33 Bn | 120.28 Bn | 10.94 Bn | 28.37% |
| 10 | Protalix BioTherapeutics | 207.07 Mn | 55.69 Mn | 12.13 Mn | 23.48% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 23.48% |
| Mar 31, 2026 | 62.65% |
| Dec 31, 2025 | -51.06% |
| Sep 30, 2025 | 11.94% |
| Jun 30, 2025 | 7.48% |
| Mar 31, 2025 | -40.99% |
| Dec 31, 2024 | 39.57% |
| Sep 30, 2024 | 22.22% |
| Jun 30, 2024 | -18.01% |
| Mar 31, 2024 | -129.56% |
| Dec 31, 2023 | -53.55% |
| Sep 30, 2023 | -18.24% |
| Jun 30, 2023 | 58.22% |
| Mar 31, 2023 | -25.65% |
| Dec 31, 2022 | -28.95% |
| Sep 30, 2022 | -22.03% |
| Jun 30, 2022 | -63.11% |
| Mar 31, 2022 | -11.63% |
| Dec 31, 2021 | -66.74% |
| Sep 30, 2021 | -15.64% |
Protalix BioTherapeutics Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=PLX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=PLX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();