Cognex (CGNX) Cost of Revenue (2009 - 2026)
Cognex's Cost of Revenue was $85.49 million in Q2 2026, up 5.3% from $81.22 million a year earlier and up 10.3% from the prior quarter.
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Analysis
Cognex (CGNX) Cost of Revenue (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Cognex's Cost of Revenue was $339.02 million through Jul 5, 2026, up 13.0% year-over-year; for FY2025, it was $328.97 million, up 13.9% from FY2024.
- Cost of Revenue shows a five-year compound annual growth rate of 9.8% (FY2020 to FY2025).
- In earlier years, Cost of Revenue was $288.72 million in FY2024 (+22.2%), $236.31 million in FY2023 (-16.8%), $284.19 million in FY2022 (+2.5%) and $277.27 million in FY2021 (+34.3%).
- Quarterly Cost of Revenue has moved between $54.47 million (Q3 2023) and $89.6 million (Q3 2025) over five years.
- Compared with a year earlier, Cost of Revenue has increased for ten straight quarters, with growth averaging 15.4% over the last eight quarters.
- The best year-over-year quarter for Cost of Revenue over five years was Q1 2022 (growth of 45.8%); the worst was Q3 2022 (a decline of 33.1%).
- Per Business Quant data, CGNX's Cost of Revenue in the three quarters before Q2 2026 was $77.5 million (Q1 2026), $86.43 million (Q4 2025) and $89.6 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 315.73 Bn | 287.43 Bn | 7.76 Bn | 12.78 Bn |
| 2 | Amphenol | 182.70 Bn | 177.41 Bn | 3.55 Bn | 5.21 Bn |
| 3 | Deere | 174.18 Bn | 182.94 Bn | 4.66 Bn | 7.95 Bn |
| 4 | Eaton | 142.17 Bn | 139.40 Bn | 2.86 Bn | 5.68 Bn |
| 5 | Parker-Hannifin | 110.97 Bn | 109.10 Bn | 2.25 Bn | 3.51 Bn |
| 6 | Emerson Electric | 90.14 Bn | 82.89 Bn | 2.66 Bn | 2.22 Bn |
| 7 | 3M | 89.64 Bn | 72.05 Bn | 2.78 Bn | 3.80 Bn |
| 8 | Illinois Tool Works | 78.53 Bn | 75.09 Bn | 1.90 Bn | 2.40 Bn |
| 9 | Vertiv Holdings | 74.79 Bn | 65.41 Bn | 1.23 Bn | 2.04 Bn |
| 10 | Cognex | 9.34 Bn | 8.01 Bn | 205.77 Mn | 85.49 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 5, 2026 | 85.49 Mn |
| Apr 5, 2026 | 77.50 Mn |
| Dec 31, 2025 | 86.43 Mn |
| Sep 28, 2025 | 89.60 Mn |
| Jun 29, 2025 | 81.22 Mn |
| Mar 30, 2025 | 71.71 Mn |
| Dec 31, 2024 | 71.83 Mn |
| Sep 29, 2024 | 75.34 Mn |
| Jun 30, 2024 | 72.69 Mn |
| Mar 31, 2024 | 68.86 Mn |
| Dec 31, 2023 | 61.63 Mn |
| Oct 1, 2023 | 54.47 Mn |
| Jul 2, 2023 | 62.83 Mn |
| Apr 2, 2023 | 57.38 Mn |
| Dec 31, 2022 | 69.87 Mn |
| Oct 2, 2022 | 57.38 Mn |
| Jul 3, 2022 | 78.14 Mn |
| Apr 3, 2022 | 78.79 Mn |
| Dec 31, 2021 | 69.08 Mn |
| Oct 3, 2021 | 85.71 Mn |
API Access
Cognex Cost of Revenue 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=cost-of-revenue&ticker=CGNX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=CGNX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();