Cognex (CGNX) Operating Expenses (2009 - 2026)
Cognex (CGNX) reported Operating Expenses of $120.26 million for Q2 2026, down 3.4% from $124.44 million a year earlier and down 8.2% from the prior quarter.
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Analysis
Cognex (CGNX) Operating Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jul 5, 2026, Cognex's Operating Expenses came in at $511.48 million, up 2.8% year-over-year; for FY2025, it came in at $502.83 million, down 1.5% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of 3.9% (FY2020 to FY2025).
- By year, Operating Expenses came in at $510.73 million in FY2024 (+6.7%), $478.54 million in FY2023 (+5.2%), $454.9 million in FY2022 (+2.3%) and $444.73 million in FY2021 (+7.3%).
- The Q2 2026 figure ranks as the lowest quarterly Operating Expenses since Q1 2025.
- Year over year, Operating Expenses gained in five of the last eight quarters, with growth averaging 1.8%.
- The high point for year-over-year Operating Expenses in five years was Q3 2021 (growth of 17.8%); the low point was Q1 2025 (a decline of 7.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $131.07 million (Q1 2026), $130.63 million (Q4 2025) and $129.53 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 323.04 Bn | 294.74 Bn | 7.76 Bn | 16.25 Bn |
| 2 | Amphenol | 182.46 Bn | 177.04 Bn | 3.55 Bn | 963.40 Mn |
| 3 | Deere | 169.69 Bn | 137.78 Bn | 4.66 Bn | 10.73 Bn |
| 4 | Eaton | 142.57 Bn | 139.75 Bn | 2.86 Bn | 1.46 Bn |
| 5 | Parker-Hannifin | 113.29 Bn | 111.42 Bn | 2.25 Bn | 874.00 Mn |
| 6 | 3M | 90.26 Bn | 71.71 Bn | 2.78 Bn | 5.03 Bn |
| 7 | Emerson Electric | 87.35 Bn | 80.08 Bn | 2.66 Bn | 1.34 Bn |
| 8 | Illinois Tool Works | 78.78 Bn | 75.34 Bn | 1.90 Bn | - |
| 9 | Vertiv Holdings | 75.75 Bn | 66.37 Bn | 1.23 Bn | 490.50 Mn |
| 10 | Cognex | 9.20 Bn | 7.87 Bn | 205.77 Mn | 120.26 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 5, 2026 | 120.26 Mn |
| Apr 5, 2026 | 131.07 Mn |
| Dec 31, 2025 | 130.63 Mn |
| Sep 28, 2025 | 129.53 Mn |
| Jun 29, 2025 | 124.44 Mn |
| Mar 30, 2025 | 118.23 Mn |
| Dec 31, 2024 | 127.02 Mn |
| Sep 29, 2024 | 127.84 Mn |
| Jun 30, 2024 | 128.14 Mn |
| Mar 31, 2024 | 127.73 Mn |
| Dec 31, 2023 | 125.07 Mn |
| Oct 1, 2023 | 114.89 Mn |
| Jul 2, 2023 | 117.01 Mn |
| Apr 2, 2023 | 121.58 Mn |
| Dec 31, 2022 | 113.09 Mn |
| Oct 2, 2022 | 109.33 Mn |
| Jul 3, 2022 | 113.94 Mn |
| Apr 3, 2022 | 116.89 Mn |
| Dec 31, 2021 | 118.46 Mn |
| Oct 3, 2021 | 111.59 Mn |
API Access
Cognex Operating Expenses 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=operating-expenses&ticker=CGNX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=CGNX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();