Compugen (CGEN) Return on Sales [ROS] (2009 - 2026)
Compugen's Return on Sales [ROS] came in at -1032.71% for Q2 2026, up 973.58 percentage points from -2006.28% a year earlier but down 1447.09 percentage points from the prior quarter.
Powered by 
Analysis
Compugen (CGEN) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Compugen reported Return on Sales [ROS] of 40.94%, up 130.40 percentage points year-over-year; for FY2025, it came in at 43.05%, up 96.49 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of +1617.85 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was -53.44% in FY2024 (-14.61 pp), -38.83% in FY2023 (+432.82 pp), -471.65% in FY2022 (+112.91 pp) and -584.57% in FY2021 (+990.23 pp).
- The five-year range for quarterly Return on Sales [ROS] is -2006.28% (Q2 2025) to 414.38% (Q1 2026).
- Year-over-year, Return on Sales [ROS] has increased for three consecutive quarters, with an average year-over-year change of -82.92 percentage points over the last six quarters.
- Business Quant data shows CGEN's Return on Sales [ROS] at 414.38% (Q1 2026), 83.23% (Q4 2025) and -417.40% (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 51.16% |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 28.21% |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 37.86% |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | -3.52% |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 32.97% |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 20.57% |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 34.95% |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | -133.21% |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 28.37% |
| 10 | Compugen | 218.42 Mn | -154.67 Mn | -92,000.00 | -1,032.71% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -1,032.71% |
| Mar 31, 2026 | 414.38% |
| Dec 31, 2025 | 83.23% |
| Sep 30, 2025 | -417.40% |
| Jun 30, 2025 | -2,006.28% |
| Mar 31, 2025 | 367.56% |
| Dec 31, 2024 | -508.70% |
| Sep 30, 2024 | 26.24% |
| Jun 30, 2024 | -304.33% |
| Mar 31, 2024 | 331.85% |
| Sep 30, 2018 | -42.72% |
| Mar 31, 2018 | 1.15% |
| Dec 31, 2016 | -16,484.91% |
| Sep 30, 2016 | -11,381.43% |
| Jun 30, 2016 | -1,412.90% |
| Mar 31, 2016 | -9,538.71% |
| Dec 31, 2015 | -8.75% |
| Sep 30, 2015 | -3,019.21% |
| Jun 30, 2015 | -3,117.94% |
| Mar 31, 2015 | -1,232.36% |
API Access
Compugen 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=CGEN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "CGEN", "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=CGEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();