Cognex (CGNX) Selling, General & Administrative (2009 - 2026)
Cognex (CGNX) posted Selling, General & Administrative of $87.87 million for Q2 2026, down 3.8% from $91.34 million a year earlier and down 6.6% from the prior quarter.
Cognex (CGNX) Selling, General & Administrative (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jul 5, 2026, Selling, General & Administrative at Cognex was $370.92 million, up 2.5% year-over-year; for FY2025, it was $363.86 million, down 1.9% from FY2024.
- Annual Selling, General & Administrative shows a five-year compound annual growth rate of 6.3% (FY2020 to FY2025).
- In prior years, Cognex's Selling, General & Administrative was $370.91 million in FY2024 (+9.4%), $339.14 million in FY2023 (+8.7%), $312.11 million in FY2022 (+0.9%) and $309.35 million in FY2021 (+15.6%).
- The Q2 2026 figure stands as the lowest quarterly Selling, General & Administrative since Q1 2025.
- On a year-over-year basis, Selling, General & Administrative increased in five of the last eight quarters, with growth averaging 2.3%.
- The strongest year-over-year quarter for Selling, General & Administrative in the past five years was Q3 2021, with growth of 20.1%; the weakest was Q4 2022, with a decline of 8.5%.
- According to Business Quant data, Selling, General & Administrative for the three prior quarters was $94.04 million (Q1 2026), $94.57 million (Q4 2025) and $94.44 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 323.56 Bn | 295.25 Bn | 7.76 Bn | 2.02 Bn |
| 2 | Amphenol | 180.19 Bn | 174.89 Bn | 3.55 Bn | 939.90 Mn |
| 3 | Deere | 173.53 Bn | 182.29 Bn | 4.66 Bn | 1.22 Bn |
| 4 | Eaton | 143.22 Bn | 140.45 Bn | 2.86 Bn | 1.24 Bn |
| 5 | Parker-Hannifin | 112.51 Bn | 110.65 Bn | 2.25 Bn | 874.00 Mn |
| 6 | 3M | 90.71 Bn | 73.12 Bn | 2.78 Bn | 921.00 Mn |
| 7 | Emerson Electric | 89.39 Bn | 82.15 Bn | 2.66 Bn | 1.34 Bn |
| 8 | Illinois Tool Works | 79.53 Bn | 76.09 Bn | 1.90 Bn | - |
| 9 | Vertiv Holdings | 75.29 Bn | 65.91 Bn | 1.23 Bn | 494.40 Mn |
| 10 | Cognex | 9.18 Bn | 7.85 Bn | 205.77 Mn | 87.87 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 5, 2026 | 87.87 Mn |
| Apr 5, 2026 | 94.04 Mn |
| Dec 31, 2025 | 94.57 Mn |
| Sep 28, 2025 | 94.44 Mn |
| Jun 29, 2025 | 91.34 Mn |
| Mar 30, 2025 | 83.50 Mn |
| Dec 31, 2024 | 94.48 Mn |
| Sep 29, 2024 | 92.63 Mn |
| Jun 30, 2024 | 93.18 Mn |
| Mar 31, 2024 | 90.63 Mn |
| Dec 31, 2023 | 90.37 Mn |
| Oct 1, 2023 | 82.31 Mn |
| Jul 2, 2023 | 83.42 Mn |
| Apr 2, 2023 | 83.04 Mn |
| Dec 31, 2022 | 75.95 Mn |
| Oct 2, 2022 | 75.37 Mn |
| Jul 3, 2022 | 79.95 Mn |
| Apr 3, 2022 | 80.84 Mn |
| Dec 31, 2021 | 82.97 Mn |
| Oct 3, 2021 | 77.11 Mn |
Cognex Selling, General & Administrative 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=selling-general-and-administrative&ticker=CGNX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=CGNX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();