Silicom (SILC) Receivables (2009 - 2026)
Silicom (SILC) recorded Receivables of $21.48 million in the quarter ended Jun 30, 2026, up 57.9% from $13.61 million a year earlier and up 21.6% from the prior quarter.
Silicom (SILC) Receivables (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, Silicom reported Receivables of $12.35 million, down 25.6% from the prior year.
- Annual Receivables has declined for four straight years, with a five-year compound annual growth rate of -15.0% (years ended Dec 2020 to Dec 2025).
- Across earlier years, Receivables came in at $16.59 million in the year ended Dec 31, 2024 (-42.2%), $28.69 million in the year ended Dec 31, 2023 (-7.1%), $30.88 million in the year ended Dec 31, 2022 (-13.8%) and $35.81 million in the year ended Dec 31, 2021 (+28.9%).
- The figure for the quarter ended Jun 30, 2026 is the highest quarterly Receivables since the quarter ended Dec 31, 2023.
- On a year-over-year basis, Receivables rose in two of the last eight quarters, with an average decline of 12.1%.
- Peak year-over-year performance for Receivables in the last five years was growth of 57.9% in the quarter ended Jun 30, 2026, against a decline of 50.1% in the quarter ended Mar 31, 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $17.67 million (quarter ended Mar 31, 2026), $12.35 million (quarter ended Dec 31, 2025) and $16.28 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,943.67 Bn | 4,691.16 Bn | 54.77 Bn | 58.91 Bn |
| 2 | Cisco Systems | 421.20 Bn | 357.13 Bn | 11.06 Bn | 9.40 Bn |
| 3 | Dell Technologies | 347.85 Bn | 303.60 Bn | 9.83 Bn | 22.92 Bn |
| 4 | Arista Networks | 258.42 Bn | 211.87 Bn | 1.91 Bn | 2.27 Bn |
| 5 | Sandisk | 250.08 Bn | 238.60 Bn | 7.58 Bn | 63.41 Bn |
| 6 | Seagate Technology Holdings | 208.99 Bn | 203.98 Bn | 1.90 Bn | 1.66 Bn |
| 7 | Western Digital | 163.62 Bn | 151.74 Bn | 2.03 Bn | 2.03 Bn |
| 8 | Sony | 143.48 Bn | 93.86 Bn | 6.53 Bn | 11.62 Bn |
| 9 | Hewlett Packard Enterprise | 83.23 Bn | 61.11 Bn | 4.93 Bn | 6.57 Bn |
| 10 | Silicom | 291.53 Mn | 133.92 Mn | 7.17 Mn | 21.48 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 21.48 Mn |
| Mar 31, 2026 | 17.67 Mn |
| Dec 31, 2025 | 12.35 Mn |
| Sep 30, 2025 | 16.28 Mn |
| Jun 30, 2025 | 13.61 Mn |
| Mar 31, 2025 | 19.39 Mn |
| Dec 31, 2024 | 16.59 Mn |
| Sep 30, 2024 | 20.30 Mn |
| Jun 30, 2024 | 19.78 Mn |
| Mar 31, 2024 | 16.95 Mn |
| Dec 31, 2023 | 28.69 Mn |
| Sep 30, 2023 | 34.42 Mn |
| Jun 30, 2023 | 36.37 Mn |
| Mar 31, 2023 | 33.97 Mn |
| Dec 31, 2022 | 30.88 Mn |
| Sep 30, 2022 | 32.04 Mn |
| Jun 30, 2022 | 39.07 Mn |
| Mar 31, 2022 | 39.71 Mn |
| Dec 31, 2021 | 35.81 Mn |
| Sep 30, 2021 | 27.48 Mn |
Silicom Receivables 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=receivables&ticker=SILC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=SILC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();