Cognex (CGNX) Accumulated Expenses (2009 - 2026)
Cognex (CGNX) reported Accumulated Expenses of $80.59 million for Q2 2026, up 2.9% from $78.34 million a year earlier and up 4.1% from the prior quarter.
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Analysis
Cognex (CGNX) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Cognex posted Accumulated Expenses of $91.4 million, up 27.4% from FY2024.
- Accumulated Expenses has a five-year compound annual growth rate of 3.4% (FY2020 to FY2025).
- By year, Accumulated Expenses came in at $71.76 million in FY2024 (-0.8%), $72.37 million in FY2023 (-22.4%), $93.24 million in FY2022 (+0.9%) and $92.43 million in FY2021 (+19.6%).
- Five-year quarterly Accumulated Expenses spans a low of $63.12 million in Q1 2022 and a high of $93.24 million in Q4 2022.
- Year over year, Accumulated Expenses has now increased in each of the last five quarters, with growth averaging 6.7% over the last eight quarters.
- The high point for year-over-year Accumulated Expenses in five years was Q1 2023 (growth of 32.3%); the low point was Q4 2023 (a decline of 22.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $77.4 million (Q1 2026), $91.4 million (Q4 2025) and $86.71 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 340.33 Bn | 312.03 Bn | 7.76 Bn |
| 2 | Amphenol | 195.04 Bn | 189.62 Bn | 3.55 Bn |
| 3 | Deere | 171.72 Bn | 139.81 Bn | 4.66 Bn |
| 4 | Eaton | 152.74 Bn | 149.93 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 120.82 Bn | 118.95 Bn | 2.25 Bn |
| 6 | Emerson Electric | 91.30 Bn | 84.04 Bn | 2.66 Bn |
| 7 | 3M | 90.37 Bn | 71.82 Bn | 2.78 Bn |
| 8 | Vertiv Holdings | 81.71 Bn | 72.33 Bn | 1.23 Bn |
| 9 | Illinois Tool Works | 79.34 Bn | 75.90 Bn | 1.90 Bn |
| 10 | Cognex | 9.71 Bn | 8.37 Bn | 205.77 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 5, 2026 | 80.59 Mn |
| Apr 5, 2026 | 77.40 Mn |
| Dec 31, 2025 | 91.40 Mn |
| Sep 28, 2025 | 86.71 Mn |
| Jun 29, 2025 | 78.34 Mn |
| Mar 30, 2025 | 67.85 Mn |
| Dec 31, 2024 | 71.76 Mn |
| Sep 29, 2024 | 76.68 Mn |
| Jun 30, 2024 | 75.41 Mn |
| Mar 31, 2024 | 70.43 Mn |
| Dec 31, 2023 | 72.37 Mn |
| Oct 1, 2023 | 79.12 Mn |
| Jul 2, 2023 | 83.61 Mn |
| Apr 2, 2023 | 83.53 Mn |
| Dec 31, 2022 | 93.24 Mn |
| Oct 2, 2022 | 64.12 Mn |
| Jul 3, 2022 | 70.05 Mn |
| Apr 3, 2022 | 63.12 Mn |
| Dec 31, 2021 | 92.43 Mn |
| Oct 3, 2021 | 80.34 Mn |
API Access
Cognex Accumulated 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=accumulated-expenses&ticker=CGNX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=CGNX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();