Synaptics (SYNA) Operating Expenses (2009 - 2026)
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Analysis
Synaptics (SYNA) Operating Expenses (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn | 3.63 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn | 3.64 Bn |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn | 8.41 Bn |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn | 4.50 Bn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn | 2.77 Bn |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn | 4.38 Bn |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn | - |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn | 4.57 Bn |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn | 1.59 Bn |
| 10 | Synaptics | 4.69 Bn | 3.04 Bn | 140.40 Mn | 153.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 153.10 Mn |
| Jun 27, 2026 | 161.90 Mn |
| Mar 28, 2026 | 146.00 Mn |
| Dec 27, 2025 | 146.80 Mn |
| Sep 27, 2025 | 147.80 Mn |
| Jun 28, 2025 | 145.70 Mn |
| Mar 29, 2025 | 142.10 Mn |
| Dec 28, 2024 | 137.40 Mn |
| Sep 28, 2024 | 149.30 Mn |
| Mar 30, 2024 | 127.70 Mn |
| Dec 30, 2023 | 126.90 Mn |
| Sep 30, 2023 | 142.30 Mn |
| Mar 25, 2023 | 138.10 Mn |
| Dec 24, 2022 | 140.60 Mn |
| Sep 24, 2022 | 143.70 Mn |
| Mar 26, 2022 | 165.70 Mn |
| Dec 25, 2021 | 147.50 Mn |
| Sep 25, 2021 | 137.50 Mn |
| Mar 27, 2021 | 123.90 Mn |
| Dec 26, 2020 | 91.90 Mn |
API Access
Synaptics 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=operating-expenses&ticker=SYNA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=operating-expenses&ticker=SYNA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();