Synaptics (SYNA) Return on Capital Employed [ROCE] (2010 - 2026)
Synaptics (SYNA) recorded Return on Capital Employed [ROCE] of -4.17% in fiscal Q4 2026 (quarter ended Jun 27, 2026), down 0.07 percentage points from -4.09% a year earlier and down 0.89 percentage points from the prior quarter.
Synaptics (SYNA) Return on Capital Employed [ROCE] (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 27, 2026), Synaptics reported Return on Capital Employed [ROCE] of -4.09%, down 0.22 percentage points from FY2025.
- Annual Return on Capital Employed [ROCE] has a five-year change of -16.61 percentage points (FY2021 to FY2026).
- Across earlier fiscal years, Return on Capital Employed [ROCE] came in at -3.87% in FY2025 (+0.30 pp), -4.16% in FY2024 (-10.40 pp), 6.24% in FY2023 (-10.62 pp) and 16.85% in FY2022 (+4.33 pp).
- The fiscal Q4 2026 figure is the lowest quarterly Return on Capital Employed [ROCE] since fiscal Q3 2025.
- On a year-over-year basis, Return on Capital Employed [ROCE] rose in three of the last eight quarters, with an average year-over-year change of -0.51 percentage points.
- Peak year-over-year performance for Return on Capital Employed [ROCE] in the last five years was a gain of 4.77 percentage points in fiscal Q4 2022, against a drop of 17.53 percentage points in fiscal Q3 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at -3.28% (Q3 2026), -3.85% (Q2 2026) and -3.83% (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 80.04% |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 8.47% |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 26.30% |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 60.25% |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 9.27% |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | - |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | -0.05% |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 50.54% |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 28.98% |
| 10 | Synaptics | 4.73 Bn | 2.99 Bn | 145.80 Mn | -4.17% |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | -4.17% |
| Mar 28, 2026 | -3.28% |
| Dec 27, 2025 | -3.85% |
| Sep 27, 2025 | -3.83% |
| Jun 28, 2025 | -4.09% |
| Mar 29, 2025 | -4.40% |
| Dec 28, 2024 | -3.79% |
| Sep 28, 2024 | -3.71% |
| Jun 29, 2024 | -4.22% |
| Mar 30, 2024 | -4.63% |
| Dec 30, 2023 | -2.47% |
| Sep 30, 2023 | 0.30% |
| Jun 24, 2023 | 6.42% |
| Mar 25, 2023 | 12.91% |
| Dec 24, 2022 | 14.96% |
| Sep 24, 2022 | 16.23% |
| Jun 25, 2022 | 15.14% |
| Mar 26, 2022 | 12.38% |
| Dec 25, 2021 | 12.20% |
| Sep 25, 2021 | 11.85% |
Synaptics Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=SYNA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=SYNA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();