Silicom (SILC) Operating Expenses (2009 - 2026)
Silicom (SILC) recorded Operating Expenses of $9.16 million in the quarter ended Jun 30, 2026, up 16.4% from $7.87 million a year earlier and up 8.4% from the prior quarter.
Silicom (SILC) Operating Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Silicom's Operating Expenses came in at $33.44 million as of Jun 30, 2026, up 10.2% year-over-year; for the year ended Dec 31, 2025, it came in at $31.19 million, up 4.4% from the prior year.
- Annual Operating Expenses has a five-year compound annual growth rate of 2.5% (years ended Dec 2020 to Dec 2025).
- Across earlier years, Operating Expenses came in at $29.88 million in the year ended Dec 31, 2024 (-47.9%), $57.36 million in the year ended Dec 31, 2023 (+79.1%), $32.03 million in the year ended Dec 31, 2022 (+2.2%) and $31.33 million in the year ended Dec 31, 2021 (+13.9%).
- The figure for the quarter ended Jun 30, 2026 is the highest quarterly Operating Expenses since the quarter ended Dec 31, 2023.
- On a year-over-year basis, Operating Expenses has increased for five consecutive quarters, with an average decline of 5.2% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 318.7% in the quarter ended Dec 31, 2023, against a decline of 76.8% in the quarter ended Dec 31, 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $8.45 million (quarter ended Mar 31, 2026), $7.85 million (quarter ended Dec 31, 2025) and $7.98 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,943.67 Bn | 4,691.16 Bn | 54.77 Bn | 19.08 Bn |
| 2 | Cisco Systems | 421.20 Bn | 357.13 Bn | 11.06 Bn | 6.80 Bn |
| 3 | Dell Technologies | 347.85 Bn | 303.60 Bn | 9.83 Bn | 4.45 Bn |
| 4 | Arista Networks | 258.42 Bn | 211.87 Bn | 1.91 Bn | 532.30 Mn |
| 5 | Sandisk | 250.08 Bn | 238.60 Bn | 7.58 Bn | 545.00 Mn |
| 6 | Seagate Technology Holdings | 208.99 Bn | 203.98 Bn | 1.90 Bn | 2.07 Bn |
| 7 | Western Digital | 163.62 Bn | 151.74 Bn | 2.03 Bn | 465.00 Mn |
| 8 | Sony | 143.48 Bn | 93.86 Bn | 6.53 Bn | 14.83 Bn |
| 9 | Hewlett Packard Enterprise | 83.23 Bn | 61.11 Bn | 4.93 Bn | 10.82 Bn |
| 10 | Silicom | 291.53 Mn | 133.92 Mn | 7.17 Mn | 9.16 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.16 Mn |
| Mar 31, 2026 | 8.45 Mn |
| Dec 31, 2025 | 7.85 Mn |
| Sep 30, 2025 | 7.98 Mn |
| Jun 30, 2025 | 7.87 Mn |
| Mar 31, 2025 | 7.49 Mn |
| Dec 31, 2024 | 7.71 Mn |
| Sep 30, 2024 | 7.28 Mn |
| Jun 30, 2024 | 7.39 Mn |
| Mar 31, 2024 | 7.50 Mn |
| Dec 31, 2023 | 33.19 Mn |
| Sep 30, 2023 | 8.28 Mn |
| Jun 30, 2023 | 8.16 Mn |
| Mar 31, 2023 | 7.73 Mn |
| Dec 31, 2022 | 7.93 Mn |
| Sep 30, 2022 | 7.66 Mn |
| Jun 30, 2022 | 7.99 Mn |
| Mar 31, 2022 | 8.46 Mn |
| Dec 31, 2021 | 8.19 Mn |
| Sep 30, 2021 | 7.73 Mn |
Silicom 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=SILC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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-expenses&ticker=SILC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();