Cognex (CGNX) EBITDA (2009 - 2026)
Cognex (CGNX) posted EBITDA of $92.4 million for Q2 2026, up 79.6% from $51.43 million a year earlier and up 37.7% from the prior quarter.
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Analysis
Cognex (CGNX) EBITDA (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jul 5, 2026, EBITDA at Cognex was $267.41 million, up 62.5% year-over-year; for FY2025, it was $193.36 million, up 30.9% from FY2024.
- Annual EBITDA shows a five-year compound annual growth rate of -0.4% (FY2020 to FY2025).
- In prior years, Cognex's EBITDA was $147.75 million in FY2024 (-3.2%), $152.58 million in FY2023 (-42.6%), $265.85 million in FY2022 (-20.7%) and $335.38 million in FY2021 (+70.2%).
- The Q2 2026 figure stands as the highest quarterly EBITDA since Q3 2021.
- On a year-over-year basis, EBITDA has increased in each of the last eight quarters, with growth averaging 52.8% over the last eight quarters.
- The strongest year-over-year quarter for EBITDA in the past five years was Q1 2026, with growth of 97.2%; the weakest was Q1 2023, with a decline of 70.5%.
- According to Business Quant data, EBITDA for the three prior quarters was $67.11 million (Q1 2026), $42.6 million (Q4 2025) and $65.3 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 340.33 Bn | 312.03 Bn | 7.76 Bn | 4.91 Bn |
| 2 | Amphenol | 195.04 Bn | 189.62 Bn | 3.55 Bn | 2.93 Bn |
| 3 | Deere | 171.72 Bn | 139.81 Bn | 4.66 Bn | 2.46 Bn |
| 4 | Eaton | 152.74 Bn | 149.93 Bn | 2.86 Bn | 1.79 Bn |
| 5 | Parker-Hannifin | 120.82 Bn | 118.95 Bn | 2.25 Bn | 1.61 Bn |
| 6 | Emerson Electric | 91.30 Bn | 84.04 Bn | 2.66 Bn | 1.69 Bn |
| 7 | 3M | 90.37 Bn | 71.82 Bn | 2.78 Bn | 1.89 Bn |
| 8 | Vertiv Holdings | 81.71 Bn | 72.33 Bn | 1.23 Bn | 754.30 Mn |
| 9 | Illinois Tool Works | 79.34 Bn | 75.90 Bn | 1.90 Bn | 1.25 Bn |
| 10 | Cognex | 9.71 Bn | 8.37 Bn | 205.77 Mn | 92.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 5, 2026 | 92.40 Mn |
| Apr 5, 2026 | 67.11 Mn |
| Dec 31, 2025 | 42.60 Mn |
| Sep 28, 2025 | 65.30 Mn |
| Jun 29, 2025 | 51.43 Mn |
| Mar 30, 2025 | 34.03 Mn |
| Dec 31, 2024 | 38.70 Mn |
| Sep 29, 2024 | 40.38 Mn |
| Jun 30, 2024 | 46.38 Mn |
| Mar 31, 2024 | 22.30 Mn |
| Dec 31, 2023 | 19.62 Mn |
| Oct 1, 2023 | 35.76 Mn |
| Jul 2, 2023 | 70.11 Mn |
| Apr 2, 2023 | 27.09 Mn |
| Dec 31, 2022 | 59.31 Mn |
| Oct 2, 2022 | 44.89 Mn |
| Jul 3, 2022 | 69.96 Mn |
| Apr 3, 2022 | 91.69 Mn |
| Dec 31, 2021 | 61.39 Mn |
| Oct 3, 2021 | 92.60 Mn |
API Access
Cognex EBITDA 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=ebitda&ticker=CGNX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=CGNX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();