Silvaco (SVCO) Operating Leases (2023 - 2026)
Silvaco (SVCO) posted Operating Leases of $770,000 for Q2 2026, down 39.8% from $1.28 million a year earlier and down 20.2% from the prior quarter.
Analysis
Silvaco (SVCO) Operating Leases (2023 - 2026) Analysis & Trends
At the end of FY2025, Silvaco's Operating Leases came in at $1.96 million, up 107.3% from FY2024.
- In prior years, Silvaco's Operating Leases was $946,000 in FY2024 (-21.0%) and $1.2 million in FY2023.
- The Q2 2026 figure stands as the lowest quarterly Operating Leases in data going back to Q4 2023.
- On a year-over-year basis, Operating Leases increased in four of the last seven quarters, with growth averaging 9.7%.
- According to Business Quant data, Operating Leases for the three prior quarters was $965,000 (Q1 2026), $1.96 million (Q4 2025) and $1.68 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,136.26 Bn | 4,910.42 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,136.54 Bn | 1,761.41 Bn | 27.22 Bn |
| 3 | Broadcom | 1,540.90 Bn | 1,466.94 Bn | 20.46 Bn |
| 4 | Micron Technology | 967.10 Bn | 872.74 Bn | 47.05 Bn |
| 5 | Advanced Micro Devices | 829.08 Bn | 785.83 Bn | 6.20 Bn |
| 6 | Asml Holding | 608.19 Bn | 563.87 Bn | 5.90 Bn |
| 7 | Intel | 435.73 Bn | 304.86 Bn | 6.51 Bn |
| 8 | Applied Materials | 298.50 Bn | 263.94 Bn | 4.59 Bn |
| 9 | Lam Research | 288.46 Bn | 265.26 Bn | 3.48 Bn |
| 10 | Silvaco | 201.74 Mn | 152.31 Mn | 15.16 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 770,000.00 |
| Mar 31, 2026 | 965,000.00 |
| Dec 31, 2025 | 1.96 Mn |
| Sep 30, 2025 | 1.68 Mn |
| Jun 30, 2025 | 1.28 Mn |
| Mar 31, 2025 | 866,000.00 |
| Dec 31, 2024 | 946,000.00 |
| Sep 30, 2024 | 1.17 Mn |
| Jun 30, 2024 | 1.27 Mn |
| Mar 31, 2024 | 1.32 Mn |
| Dec 31, 2023 | 1.20 Mn |
API Access
Silvaco Operating Leases 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-leases&ticker=SVCO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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-leases&ticker=SVCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();