Synaptics (SYNA) Return on Sales [ROS] (2009 - 2026)
Synaptics' Return on Sales [ROS] was -5.23% in fiscal Q4 2026 (quarter ended Jun 27, 2026), up 3.33 percentage points from -8.56% a year earlier but down 0.91 percentage points from the prior quarter.
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Analysis
Synaptics (SYNA) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 27, 2026), Return on Sales [ROS] at Synaptics came in at -5.60%, up 3.15 percentage points from FY2025.
- Return on Sales [ROS] shows a five-year change of -16.58 percentage points (FY2021 to FY2026).
- In earlier fiscal years, Return on Sales [ROS] was -8.76% in FY2025 (+1.83 pp), -10.59% in FY2024 (-21.98 pp), 11.39% in FY2023 (-8.75 pp) and 20.14% in FY2022 (+9.17 pp).
- Quarterly Return on Sales [ROS] has moved between -16.72% (fiscal Q4 2023) and 26.05% (fiscal Q4 2022) over five years.
- Compared with a year earlier, Return on Sales [ROS] has increased for five straight quarters, with an average year-over-year change of +2.47 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Sales [ROS] over five years was fiscal Q1 2022 (a gain of 14.43 percentage points); the worst was fiscal Q4 2023 (a drop of 42.77 percentage points).
- Per Business Quant data, SYNA's Return on Sales [ROS] in the three fiscal quarters before Q4 2026 was -4.32% (Q3 2026), -4.99% (Q2 2026) and -7.93% (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 66.24% |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 60.34% |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 53.92% |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 80.37% |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 17.25% |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | - |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 11.14% |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 37.39% |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 33.74% |
| 10 | Synaptics | 4.73 Bn | 2.99 Bn | 145.80 Mn | -5.23% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | -5.23% |
| Mar 28, 2026 | -4.32% |
| Dec 27, 2025 | -4.99% |
| Sep 27, 2025 | -7.93% |
| Jun 28, 2025 | -8.56% |
| Mar 29, 2025 | -9.86% |
| Dec 28, 2024 | -5.69% |
| Sep 28, 2024 | -11.02% |
| Jun 29, 2024 | -12.57% |
| Mar 30, 2024 | -7.33% |
| Dec 30, 2023 | -7.55% |
| Sep 30, 2023 | -14.81% |
| Jun 24, 2023 | -16.72% |
| Mar 25, 2023 | 10.47% |
| Dec 24, 2022 | 13.06% |
| Sep 24, 2022 | 24.99% |
| Jun 25, 2022 | 26.05% |
| Mar 26, 2022 | 18.74% |
| Dec 25, 2021 | 18.45% |
| Sep 25, 2021 | 16.26% |
API Access
Synaptics 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=SYNA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "SYNA", "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=SYNA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();