Silvaco (SVCO) Change in Taxes (2023 - 2026)
Silvaco's Change in Taxes was -$1.08 million in Q2 2026, compared with -$772,000 a year earlier.
Analysis
Silvaco (SVCO) Change in Taxes (2023 - 2026) Analysis & Trends
On a trailing twelve-month basis, Silvaco's Change in Taxes was $39,000 through Jun 30, 2026; for FY2025, it came in at $817,000.
- In earlier years, Change in Taxes was $74,000 in FY2024 and -$23,000 in FY2023.
- Quarterly Change in Taxes has moved between -$3.66 million (Q3 2025) and $5.19 million (Q4 2025) over five years.
- Per Business Quant data, SVCO's Change in Taxes in the three quarters before Q2 2026 was -$415,000 (Q1 2026), $5.19 million (Q4 2025) and -$3.66 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Taxes (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 | -646.00 Mn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | - |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 137.00 Mn |
| 10 | Silvaco | 308.19 Mn | 258.77 Mn | 15.16 Mn | -1.08 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -1.08 Mn |
| Mar 31, 2026 | -415,000.00 |
| Dec 31, 2025 | 5.19 Mn |
| Sep 30, 2025 | -3.66 Mn |
| Jun 30, 2025 | -772,000.00 |
| Mar 31, 2025 | 58,000.00 |
| Dec 31, 2024 | -762,000.00 |
| Sep 30, 2024 | 149,000.00 |
| Jun 30, 2024 | 113,000.00 |
| Mar 31, 2024 | 574,000.00 |
| Dec 31, 2023 | -498,000.00 |
| Sep 30, 2023 | 582,000.00 |
| Jun 30, 2023 | -349,000.00 |
| Mar 31, 2023 | 242,000.00 |
API Access
Silvaco Change in Taxes 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=change-in-taxes&ticker=SVCO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-taxes", "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=change-in-taxes&ticker=SVCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();