Silvaco (SVCO) Accumulated Expenses (2023 - 2026)
Silvaco's Accumulated Expenses was $10.25 million in Q2 2026, down 57.2% from $23.95 million a year earlier and down 0.3% from the prior quarter.
Silvaco (SVCO) Accumulated Expenses (2023 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Expenses at Silvaco came in at $19.4 million, down 2.0% from FY2024.
- In earlier years, Accumulated Expenses was $19.8 million in FY2024 (+93.1%) and $10.26 million in FY2023.
- The Q2 2026 figure marks the lowest quarterly Accumulated Expenses since Q1 2024.
- Compared with a year earlier, Accumulated Expenses has declined for four straight quarters, with growth averaging 27.4% over the last seven quarters.
- Per Business Quant data, SVCO's Accumulated Expenses in the three quarters before Q2 2026 was $10.28 million (Q1 2026), $19.4 million (Q4 2025) and $23.13 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,563.73 Bn | 5,337.89 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,381.64 Bn | 2,007.35 Bn | 27.22 Bn |
| 3 | Broadcom | 1,640.54 Bn | 1,566.58 Bn | 20.46 Bn |
| 4 | Micron Technology | 1,238.95 Bn | 1,177.72 Bn | 35.06 Bn |
| 5 | Advanced Micro Devices | 1,004.87 Bn | 961.62 Bn | 6.20 Bn |
| 6 | Asml Holding | 697.02 Bn | 652.86 Bn | 5.90 Bn |
| 7 | Intel | 605.16 Bn | 489.89 Bn | 6.51 Bn |
| 8 | Lam Research | 425.56 Bn | 402.36 Bn | 3.48 Bn |
| 9 | Applied Materials | 420.05 Bn | 385.49 Bn | 4.59 Bn |
| 10 | Silvaco | 303.81 Mn | 254.39 Mn | 15.16 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.25 Mn |
| Mar 31, 2026 | 10.28 Mn |
| Dec 31, 2025 | 19.40 Mn |
| Sep 30, 2025 | 23.13 Mn |
| Jun 30, 2025 | 23.95 Mn |
| Mar 31, 2025 | 32.43 Mn |
| Dec 31, 2024 | 19.80 Mn |
| Sep 30, 2024 | 23.31 Mn |
| Jun 30, 2024 | 23.75 Mn |
| Mar 31, 2024 | 9.95 Mn |
| Dec 31, 2023 | 10.26 Mn |
| Sep 30, 2023 | 500,000.00 |
| Jun 30, 2023 | 400,000.00 |
| Mar 31, 2023 | 200,000.00 |
Silvaco Accumulated 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=accumulated-expenses&ticker=SVCO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=SVCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();