Cognex (CGNX) Return on Sales [ROS] (2009 - 2026)
Cognex (CGNX) posted Return on Sales [ROS] of 29.36% for Q2 2026, up 11.92 percentage points from 17.44% a year earlier and up 7.06 percentage points from the prior quarter.
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Analysis
Cognex (CGNX) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jul 5, 2026, Return on Sales [ROS] at Cognex was 21.90%, up 7.70 percentage points year-over-year; for FY2025, it was 16.35%, up 3.77 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of -4.68 percentage points (FY2020 to FY2025).
- In prior years, Cognex's Return on Sales [ROS] was 12.58% in FY2024 (-3.02 pp), 15.61% in FY2023 (-8.87 pp), 24.47% in FY2022 (-5.91 pp) and 30.38% in FY2021 (+9.36 pp).
- The Q2 2026 figure stands as the highest quarterly Return on Sales [ROS] since Q1 2022.
- On a year-over-year basis, Return on Sales [ROS] has increased in each of the last seven quarters, with an average year-over-year change of +5.21 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q2 2026, with a gain of 11.92 percentage points; the weakest was Q1 2023, with a drop of 19.69 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 22.30% (Q1 2026), 13.98% (Q4 2025) and 20.86% (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 | Cognex | 10.93 Bn | 9.59 Bn | 205.77 Mn | 29.36% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 5, 2026 | 29.36% |
| Apr 5, 2026 | 22.30% |
| Dec 31, 2025 | 13.98% |
| Sep 28, 2025 | 20.86% |
| Jun 29, 2025 | 17.44% |
| Mar 30, 2025 | 12.08% |
| Dec 31, 2024 | 13.43% |
| Sep 29, 2024 | 13.45% |
| Jun 30, 2024 | 16.07% |
| Mar 31, 2024 | 6.74% |
| Dec 31, 2023 | 6.47% |
| Oct 1, 2023 | 15.53% |
| Jul 2, 2023 | 26.87% |
| Apr 2, 2023 | 11.02% |
| Dec 31, 2022 | 22.69% |
| Oct 2, 2022 | 19.09% |
| Jul 3, 2022 | 23.72% |
| Apr 3, 2022 | 30.71% |
| Dec 31, 2021 | 23.16% |
| Oct 3, 2021 | 30.73% |
API Access
Cognex 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=CGNX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "CGNX", "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=CGNX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();