Silicom (SILC) Operating Leases (2019 - 2026)
Silicom (SILC) reported Operating Leases of $2.06 million for the quarter ended Jun 30, 2026, up 7.8% from $1.91 million a year earlier but down 6.4% from the prior quarter.
Silicom (SILC) Operating Leases (2019 - 2026) Analysis & Trends
As of Dec 31, 2025, Silicom posted Operating Leases of $2.02 million, up 20.9% from the prior year.
- Operating Leases has a five-year compound annual growth rate of 2.2% (years ended Dec 2020 to Dec 2025).
- By year, Operating Leases came in at $1.67 million in the year ended Dec 31, 2024 (-19.3%), $2.07 million in the year ended Dec 31, 2023 (+33.6%), $1.55 million in the year ended Dec 31, 2022 (-14.5%) and $1.81 million in the year ended Dec 31, 2021 (-0.1%).
- Five-year quarterly Operating Leases spans a low of $1.55 million in the quarter ended Dec 31, 2022 and a high of $2.2 million in the quarter ended Mar 31, 2026.
- Year over year, Operating Leases has now increased in each of the last five quarters, with growth averaging 5.5% over the last eight quarters.
- The high point for year-over-year Operating Leases in five years was the quarter ended Sep 30, 2021 (growth of 56.1%); the low point was the quarter ended Sep 30, 2024 (a decline of 21.8%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $2.2 million (quarter ended Mar 31, 2026), $2.02 million (quarter ended Dec 31, 2025) and $1.96 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Apple | 4,943.67 Bn | 4,691.16 Bn | 54.77 Bn |
| 2 | Cisco Systems | 421.20 Bn | 357.13 Bn | 11.06 Bn |
| 3 | Dell Technologies | 347.85 Bn | 303.60 Bn | 9.83 Bn |
| 4 | Arista Networks | 258.42 Bn | 211.87 Bn | 1.91 Bn |
| 5 | Sandisk | 250.08 Bn | 238.60 Bn | 7.58 Bn |
| 6 | Seagate Technology Holdings | 208.99 Bn | 203.98 Bn | 1.90 Bn |
| 7 | Western Digital | 163.62 Bn | 151.74 Bn | 2.03 Bn |
| 8 | Sony | 143.48 Bn | 93.86 Bn | 6.53 Bn |
| 9 | Hewlett Packard Enterprise | 83.23 Bn | 61.11 Bn | 4.93 Bn |
| 10 | Silicom | 291.53 Mn | 133.92 Mn | 7.17 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.06 Mn |
| Mar 31, 2026 | 2.20 Mn |
| Dec 31, 2025 | 2.02 Mn |
| Sep 30, 2025 | 1.96 Mn |
| Jun 30, 2025 | 1.91 Mn |
| Mar 31, 2025 | 1.68 Mn |
| Dec 31, 2024 | 1.67 Mn |
| Sep 30, 2024 | 1.63 Mn |
| Jun 30, 2024 | 1.71 Mn |
| Mar 31, 2024 | 1.79 Mn |
| Dec 31, 2023 | 2.07 Mn |
| Sep 30, 2023 | 2.09 Mn |
| Jun 30, 2023 | 2.15 Mn |
| Mar 31, 2023 | 2.15 Mn |
| Dec 31, 2022 | 1.55 Mn |
| Sep 30, 2022 | 1.58 Mn |
| Jun 30, 2022 | 1.72 Mn |
| Mar 31, 2022 | 1.72 Mn |
| Dec 31, 2021 | 1.81 Mn |
| Sep 30, 2021 | 1.81 Mn |
Silicom 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=SILC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "ticker": "SILC", "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=SILC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();