Synopsys (SNPS) Return on Sales [ROS] (2009 - 2026)
Synopsys (SNPS) posted Return on Sales [ROS] of 14.43% for fiscal Q3 2026 (quarter ended Jul 31, 2026), up 4.93 percentage points from 9.50% a year earlier.
Synopsys (SNPS) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jul 31, 2026, Return on Sales [ROS] at Synopsys was 9.54%, down 7.62 percentage points year-over-year; for FY2025 (ended Oct 31, 2025), it was 12.97%, down 9.16 percentage points from FY2024.
- Annual Return on Sales [ROS] has declined for three consecutive fiscal years, with a five-year change of -3.86 percentage points (FY2020 to FY2025).
- In prior fiscal years, Synopsys' Return on Sales [ROS] was 22.13% in FY2024 (-1.82 pp), 23.94% in FY2023 (-0.95 pp), 24.89% in FY2022 (+7.41 pp) and 17.48% in FY2021 (+0.65 pp).
- The fiscal Q3 2026 figure stands as the highest quarterly Return on Sales [ROS] since fiscal Q2 2025.
- On a year-over-year basis, Return on Sales [ROS] increased in two of the last seven quarters, with an average year-over-year change of -6.71 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was fiscal Q1 2022, with a gain of 12.03 percentage points; the weakest was fiscal Q3 2025, with a drop of 14.11 percentage points.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,515.53 Bn | 5,289.69 Bn | 72.14 Bn | 66.24% |
| 2 | Taiwan Semiconductor Manufacturing | 2,348.76 Bn | 1,974.46 Bn | 27.22 Bn | 60.34% |
| 3 | Broadcom | 1,668.85 Bn | 1,594.89 Bn | 20.46 Bn | 53.92% |
| 4 | Micron Technology | 1,189.94 Bn | 1,128.71 Bn | 35.06 Bn | 80.37% |
| 5 | Advanced Micro Devices | 992.04 Bn | 948.79 Bn | 6.20 Bn | 17.25% |
| 6 | Asml Holding | 682.73 Bn | 638.57 Bn | 5.90 Bn | - |
| 7 | Intel | 585.14 Bn | 469.87 Bn | 6.51 Bn | 11.14% |
| 8 | Lam Research | 393.49 Bn | 370.29 Bn | 3.48 Bn | 37.39% |
| 9 | Applied Materials | 386.29 Bn | 351.73 Bn | 4.59 Bn | 33.74% |
| 10 | Synopsys | 80.02 Bn | 76.41 Bn | 1.80 Bn | 14.43% |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 14.43% |
| Jan 31, 2026 | 8.43% |
| Oct 31, 2025 | 5.38% |
| Jul 31, 2025 | 9.50% |
| Apr 30, 2025 | 23.46% |
| Jan 31, 2025 | 17.30% |
| Oct 31, 2024 | 19.00% |
| Jul 31, 2024 | 23.61% |
| Apr 30, 2024 | 22.83% |
| Jan 31, 2024 | 23.34% |
| Oct 31, 2023 | 28.91% |
| Jul 31, 2023 | 22.16% |
| Apr 30, 2023 | 23.15% |
| Jan 31, 2023 | 18.80% |
| Oct 31, 2022 | 24.93% |
| Jul 31, 2022 | 18.75% |
| Apr 30, 2022 | 28.43% |
| Jan 31, 2022 | 27.32% |
| Oct 31, 2021 | 16.51% |
| Jul 31, 2021 | 19.10% |
Synopsys 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=SNPS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "SNPS", "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=SNPS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();