Silicom (SILC) Return on Sales [ROS] (2009 - 2026)
Silicom's Return on Sales [ROS] was -3.17% in Q3 2026, up 16.55 percentage points from -19.73% a year earlier and up 5.20 percentage points from the prior quarter.
Silicom (SILC) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Silicom's Return on Sales [ROS] was -9.78% through Sep 30, 2026, up 12.12 percentage points year-over-year; for FY2025, it was -19.80%, up 3.05 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of -25.62 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was -22.85% in FY2024 (+0.25 pp), -23.10% in FY2023 (-36.33 pp), 13.23% in FY2022 (+3.07 pp) and 10.16% in FY2021 (+4.35 pp).
- The Q3 2026 figure marks the highest quarterly Return on Sales [ROS] since Q3 2023.
- Compared with a year earlier, Return on Sales [ROS] has increased for eight straight quarters, with an average year-over-year change of +28.09 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q4 2024 (a gain of 176.17 percentage points); the worst was Q4 2023 (a drop of 216.48 percentage points).
- Per Business Quant data, SILC's Return on Sales [ROS] in the three quarters before Q3 2026 was -8.37% (Q2 2026), -14.70% (Q1 2026) and -16.62% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,064.64 Bn | 4,810.10 Bn | 54.82 Bn | 31.13% |
| 2 | Cisco Systems | 387.30 Bn | 323.23 Bn | 11.06 Bn | 24.72% |
| 3 | Arista Networks | 233.88 Bn | 183.08 Bn | 2.33 Bn | 44.90% |
| 4 | Dell Technologies | 213.96 Bn | 169.72 Bn | 9.83 Bn | 11.46% |
| 5 | Sony | 164.26 Bn | 101.68 Bn | 7.96 Bn | 18.15% |
| 6 | Sandisk | 123.84 Bn | 108.67 Bn | 9.38 Bn | 79.59% |
| 7 | Seagate Technology Holdings | 115.23 Bn | 110.07 Bn | 2.43 Bn | 48.76% |
| 8 | Western Digital | 108.25 Bn | 98.08 Bn | 2.53 Bn | 46.70% |
| 9 | Hewlett Packard Enterprise | 63.71 Bn | 41.65 Bn | 4.93 Bn | 11.41% |
| 10 | Silicom | 169.42 Mn | 6.84 Mn | 8.02 Mn | -3.17% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -3.17% |
| Jun 30, 2026 | -8.37% |
| Mar 31, 2026 | -14.70% |
| Dec 31, 2025 | -16.62% |
| Sep 30, 2025 | -19.73% |
| Jun 30, 2025 | -21.01% |
| Mar 31, 2025 | -22.35% |
| Dec 31, 2024 | -24.69% |
| Sep 30, 2024 | -21.10% |
| Jun 30, 2024 | -21.54% |
| Mar 31, 2024 | -24.11% |
| Dec 31, 2023 | -200.86% |
| Sep 30, 2023 | 3.19% |
| Jun 30, 2023 | 10.50% |
| Mar 31, 2023 | 10.90% |
| Dec 31, 2022 | 15.63% |
| Sep 30, 2022 | 16.08% |
| Jun 30, 2022 | 12.11% |
| Mar 31, 2022 | 7.58% |
| Dec 31, 2021 | 11.99% |
Silicom Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=SILC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=SILC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();