Silicom (SILC) Inventory (2009 - 2026)
Silicom (SILC) recorded Inventory of $70.73 million in the quarter ended Jun 30, 2026, up 73.2% from $40.84 million a year earlier and up 11.4% from the prior quarter.
Silicom (SILC) Inventory (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, Silicom reported Inventory of $52.65 million, up 28.2% from the prior year.
- Annual Inventory has a five-year compound annual growth rate of 2.0% (years ended Dec 2020 to Dec 2025).
- Across earlier years, Inventory came in at $41.06 million in the year ended Dec 31, 2024 (-20.3%), $51.51 million in the year ended Dec 31, 2023 (-41.5%), $87.99 million in the year ended Dec 31, 2022 (+16.1%) and $75.75 million in the year ended Dec 31, 2021 (+59.0%).
- The figure for the quarter ended Jun 30, 2026 is the highest quarterly Inventory since the quarter ended Jun 30, 2023.
- On a year-over-year basis, Inventory has increased for four consecutive quarters, with growth averaging 11.4% over the last eight quarters.
- Peak year-over-year performance for Inventory in the last five years was growth of 88.5% in the quarter ended Mar 31, 2022, against a decline of 44.5% in the quarter ended Mar 31, 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $63.49 million (quarter ended Mar 31, 2026), $52.65 million (quarter ended Dec 31, 2025) and $45.5 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,943.67 Bn | 4,691.16 Bn | 54.77 Bn | 11.09 Bn |
| 2 | Cisco Systems | 421.20 Bn | 357.13 Bn | 11.06 Bn | 5.69 Bn |
| 3 | Dell Technologies | 347.85 Bn | 303.60 Bn | 9.83 Bn | 21.29 Bn |
| 4 | Arista Networks | 258.42 Bn | 211.87 Bn | 1.91 Bn | 2.54 Bn |
| 5 | Sandisk | 250.08 Bn | 238.60 Bn | 7.58 Bn | 2.70 Bn |
| 6 | Seagate Technology Holdings | 208.99 Bn | 203.98 Bn | 1.90 Bn | 1.57 Bn |
| 7 | Western Digital | 163.62 Bn | 151.74 Bn | 2.03 Bn | 1.51 Bn |
| 8 | Sony | 143.48 Bn | 93.86 Bn | 6.53 Bn | 8.56 Bn |
| 9 | Hewlett Packard Enterprise | 83.23 Bn | 61.11 Bn | 4.93 Bn | 11.82 Bn |
| 10 | Silicom | 291.53 Mn | 133.92 Mn | 7.17 Mn | 70.73 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 70.73 Mn |
| Mar 31, 2026 | 63.49 Mn |
| Dec 31, 2025 | 52.65 Mn |
| Sep 30, 2025 | 45.50 Mn |
| Jun 30, 2025 | 40.84 Mn |
| Mar 31, 2025 | 39.90 Mn |
| Dec 31, 2024 | 41.06 Mn |
| Sep 30, 2024 | 43.50 Mn |
| Jun 30, 2024 | 44.65 Mn |
| Mar 31, 2024 | 46.29 Mn |
| Dec 31, 2023 | 51.51 Mn |
| Sep 30, 2023 | 63.30 Mn |
| Jun 30, 2023 | 72.06 Mn |
| Mar 31, 2023 | 83.42 Mn |
| Dec 31, 2022 | 87.99 Mn |
| Sep 30, 2022 | 92.51 Mn |
| Jun 30, 2022 | 107.88 Mn |
| Mar 31, 2022 | 95.45 Mn |
| Dec 31, 2021 | 75.75 Mn |
| Sep 30, 2021 | 66.65 Mn |
Silicom Inventory 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=inventory&ticker=SILC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=SILC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();