Vicor (VICR) Return on Sales [ROS] (2010 - 2026)
Vicor (VICR) posted Return on Sales [ROS] of 24.33% for Q2 2026, down 7.85 percentage points from 32.18% a year earlier but up 9.38 percentage points from the prior quarter.
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Analysis
Vicor (VICR) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Vicor was 11.46%, down 2.64 percentage points year-over-year; for FY2025, it came in at 18.08%, up 18.44 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of +12.22 percentage points (FY2020 to FY2025).
- In prior years, Vicor's Return on Sales [ROS] was -0.36% in FY2024 (-13.04 pp), 12.68% in FY2023 (+5.86 pp), 6.82% in FY2022 (-8.66 pp) and 15.47% in FY2021 (+9.62 pp).
- Quarterly Return on Sales [ROS] has run from a low of -19.21% in Q1 2024 to a high of 32.18% in Q2 2025 over five years.
- On a year-over-year basis, Return on Sales [ROS] increased in five of the last eight quarters, with an average year-over-year change of +6.94 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q2 2025, with a gain of 31.93 percentage points; the weakest was Q1 2024, with a drop of 29.89 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 14.95% (Q1 2026), 14.62% (Q4 2025) and 5.13% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn | 20.91% |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn | 29.51% |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn | 14.72% |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn | 16.32% |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn | 23.86% |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn | 19.48% |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn | 26.92% |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn | 15.14% |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn | 26.67% |
| 10 | Vicor | 14.19 Bn | 12.57 Bn | 83.12 Mn | 24.33% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 24.33% |
| Mar 31, 2026 | 14.95% |
| Dec 31, 2025 | 14.62% |
| Sep 30, 2025 | 5.13% |
| Jun 30, 2025 | 32.18% |
| Mar 31, 2025 | -0.16% |
| Dec 31, 2024 | 9.57% |
| Sep 30, 2024 | 5.78% |
| Jun 30, 2024 | 0.25% |
| Mar 31, 2024 | -19.21% |
| Dec 31, 2023 | 7.93% |
| Sep 30, 2023 | 14.56% |
| Jun 30, 2023 | 16.73% |
| Mar 31, 2023 | 10.68% |
| Dec 31, 2022 | 7.70% |
| Sep 30, 2022 | 2.91% |
| Jun 30, 2022 | 11.06% |
| Mar 31, 2022 | 5.41% |
| Dec 31, 2021 | 9.86% |
| Sep 30, 2021 | 14.10% |
API Access
Vicor 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=VICR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "VICR", "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=VICR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();