Silvaco (SVCO) Operating Expenses (2023 - 2026)
Silvaco's Operating Expenses came in at $19.16 million for Q2 2026, up 2.5% from $18.69 million a year earlier but down 8.7% from the prior quarter.
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Analysis
Silvaco (SVCO) Operating Expenses (2023 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Silvaco reported Operating Expenses of $82.72 million, down 26.6% year-over-year.
- The five-year range for quarterly Operating Expenses is $10.36 million (Q2 2023) to $47.89 million (Q2 2024).
- Year-over-year, Operating Expenses increased in four of the last six quarters, with growth averaging 28.7%.
- The fastest year-over-year change in Operating Expenses over five years came in Q2 2024 (growth of 362.4%), and the weakest in Q2 2025 (a decline of 61.0%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,475.76 Bn | 5,249.92 Bn | 72.14 Bn | 8.41 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,370.28 Bn | 1,995.99 Bn | 27.22 Bn | 3.13 Bn |
| 3 | Broadcom | 1,695.25 Bn | 1,621.29 Bn | 20.46 Bn | 4.50 Bn |
| 4 | Micron Technology | 1,202.48 Bn | 1,141.24 Bn | 35.06 Bn | 1.72 Bn |
| 5 | Advanced Micro Devices | 991.55 Bn | 948.30 Bn | 6.20 Bn | 4.21 Bn |
| 6 | Asml Holding | 707.01 Bn | 662.84 Bn | 5.90 Bn | - |
| 7 | Intel | 584.63 Bn | 469.37 Bn | 6.51 Bn | 4.71 Bn |
| 8 | Applied Materials | 406.33 Bn | 371.77 Bn | 4.59 Bn | 1.51 Bn |
| 9 | Lam Research | 405.24 Bn | 382.04 Bn | 3.48 Bn | 965.25 Mn |
| 10 | Silvaco | 284.61 Mn | 235.19 Mn | 15.16 Mn | 19.16 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 19.16 Mn |
| Mar 31, 2026 | 21.00 Mn |
| Sep 30, 2025 | 23.88 Mn |
| Jun 30, 2025 | 18.69 Mn |
| Mar 31, 2025 | 30.71 Mn |
| Sep 30, 2024 | 15.49 Mn |
| Jun 30, 2024 | 47.89 Mn |
| Mar 31, 2024 | 11.53 Mn |
| Sep 30, 2023 | 10.93 Mn |
| Jun 30, 2023 | 10.36 Mn |
| Mar 31, 2023 | 10.73 Mn |
API Access
Silvaco 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=SVCO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "SVCO", "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=SVCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();