Synaptics (SYNA) Operating Margin (2009 - 2026)
Synaptics' Operating Margin came in at -5.23% for 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.
Synaptics (SYNA) Operating Margin (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 27, 2026), Synaptics' Operating Margin was -5.60%, up 3.15 percentage points from FY2025.
- Operating Margin carries a five-year change of -16.58 percentage points (FY2021 to FY2026).
- Going back by fiscal year, Operating Margin 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).
- The five-year range for quarterly Operating Margin is -16.72% (fiscal Q4 2023) to 26.05% (fiscal Q4 2022).
- Year-over-year, Operating Margin has increased for five consecutive quarters, with an average year-over-year change of +2.47 percentage points over the last eight quarters.
- The fastest year-over-year change in Operating Margin over five years came in fiscal Q1 2022 (a gain of 14.43 percentage points), and the weakest in fiscal Q4 2023 (a drop of 42.77 percentage points).
- Business Quant data shows SYNA's Operating Margin at -4.32% (Q3 2026), -4.99% (Q2 2026) and -7.93% (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (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
| 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% |
Synaptics Operating Margin 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=operating-margin&ticker=SYNA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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=operating-margin&ticker=SYNA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();