Synaptics (SYNA) Other Operating Expenses (2012 - 2026)
Synaptics' Other Operating Expenses came in at $8.7 million for fiscal Q4 2026 (quarter ended Jun 27, 2026), up 89.1% from $4.6 million a year earlier and up 357.9% from the prior quarter.
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Analysis
Synaptics (SYNA) Other Operating Expenses (2012 - 2026) Analysis & Trends
For FY2026 (ended Jun 27, 2026), Synaptics' Other Operating Expenses was $19.1 million, down 37.4% from FY2025.
- Going back by fiscal year, Other Operating Expenses was $30.5 million in FY2025 (-8.4%), $33.3 million in FY2024 (+27.6%), $26.1 million in FY2023 (-32.6%) and $38.7 million in FY2022.
- The fiscal Q4 2026 figure represents the highest quarterly Other Operating Expenses since fiscal Q3 2025.
- Year-over-year, Other Operating Expenses increased in three of the last eight quarters, with growth averaging 33.8%.
- The fastest year-over-year change in Other Operating Expenses over five years came in fiscal Q3 2025 (growth of 357.5%), and the weakest in fiscal Q3 2026 (a decline of 89.6%).
- Business Quant data shows SYNA's Other Operating Expenses at $1.9 million (Q3 2026), $3.8 million (Q2 2026) and $4.7 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn |
| 10 | Synaptics | 4.73 Bn | 2.99 Bn | 145.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 8.70 Mn |
| Mar 28, 2026 | 1.90 Mn |
| Dec 27, 2025 | 3.80 Mn |
| Sep 27, 2025 | 4.70 Mn |
| Jun 28, 2025 | 4.60 Mn |
| Mar 29, 2025 | 18.30 Mn |
| Dec 28, 2024 | 3.80 Mn |
| Sep 28, 2024 | 3.80 Mn |
| Jun 29, 2024 | 19.90 Mn |
| Mar 30, 2024 | 4.00 Mn |
| Dec 30, 2023 | 3.90 Mn |
| Sep 30, 2023 | 5.50 Mn |
| Jun 24, 2023 | 8.50 Mn |
| Mar 25, 2023 | 8.50 Mn |
| Dec 24, 2022 | 8.90 Mn |
| Sep 24, 2022 | 9.50 Mn |
| Jun 25, 2022 | 9.10 Mn |
| Mar 26, 2022 | 12.00 Mn |
| Dec 25, 2021 | 9.20 Mn |
| Sep 25, 2021 | 8.40 Mn |
API Access
Synaptics Other Operating Expenses 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=other-operating-expenses&ticker=SYNA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=SYNA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();