Cognex (CGNX) Total Current Liabilities (2009 - 2026)
Cognex's Total Current Liabilities came in at $216.03 million for Q2 2026, up 13.4% from $190.44 million a year earlier and up 14.0% from the prior quarter.
Cognex (CGNX) Total Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Cognex's Total Current Liabilities was $183.55 million, up 8.4% from FY2024.
- Total Current Liabilities carries a five-year compound annual growth rate of 6.8% (FY2020 to FY2025).
- Going back by year, Total Current Liabilities was $169.38 million in FY2024 (+11.5%), $151.88 million in FY2023 (-19.1%), $187.71 million in FY2022 (-0.5%) and $188.59 million in FY2021 (+42.5%).
- The Q2 2026 figure represents the highest quarterly Total Current Liabilities in data going back to Q4 2009.
- Year-over-year, Total Current Liabilities has increased for three consecutive quarters, with growth averaging 5.8% over the last eight quarters.
- The fastest year-over-year change in Total Current Liabilities over five years came in Q4 2021 (growth of 42.5%), and the weakest in Q4 2023 (a decline of 19.1%).
- Business Quant data shows CGNX's Total Current Liabilities at $189.49 million (Q1 2026), $183.55 million (Q4 2025) and $169.27 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 340.33 Bn | 312.03 Bn | 7.76 Bn | 39.79 Bn |
| 2 | Amphenol | 195.04 Bn | 189.62 Bn | 3.55 Bn | 9.44 Bn |
| 3 | Deere | 171.72 Bn | 139.81 Bn | 4.66 Bn | - |
| 4 | Eaton | 152.74 Bn | 149.93 Bn | 2.86 Bn | 11.91 Bn |
| 5 | Parker-Hannifin | 120.82 Bn | 118.95 Bn | 2.25 Bn | 6.10 Bn |
| 6 | Emerson Electric | 91.30 Bn | 84.04 Bn | 2.66 Bn | 10.77 Bn |
| 7 | 3M | 90.37 Bn | 71.82 Bn | 2.78 Bn | 11.87 Bn |
| 8 | Vertiv Holdings | 81.71 Bn | 72.33 Bn | 1.23 Bn | 7.24 Bn |
| 9 | Illinois Tool Works | 79.34 Bn | 75.90 Bn | 1.90 Bn | 5.95 Bn |
| 10 | Cognex | 9.71 Bn | 8.37 Bn | 205.77 Mn | 216.03 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 5, 2026 | 216.03 Mn |
| Apr 5, 2026 | 189.49 Mn |
| Dec 31, 2025 | 183.55 Mn |
| Sep 28, 2025 | 169.27 Mn |
| Jun 29, 2025 | 190.44 Mn |
| Mar 30, 2025 | 183.96 Mn |
| Dec 31, 2024 | 169.38 Mn |
| Sep 29, 2024 | 170.74 Mn |
| Jun 30, 2024 | 168.78 Mn |
| Mar 31, 2024 | 188.10 Mn |
| Dec 31, 2023 | 151.88 Mn |
| Oct 1, 2023 | 169.70 Mn |
| Jul 2, 2023 | 180.46 Mn |
| Apr 2, 2023 | 213.98 Mn |
| Dec 31, 2022 | 187.71 Mn |
| Oct 2, 2022 | 161.28 Mn |
| Jul 3, 2022 | 192.24 Mn |
| Apr 3, 2022 | 195.13 Mn |
| Dec 31, 2021 | 188.59 Mn |
| Oct 3, 2021 | 165.14 Mn |
Cognex Total Current Liabilities 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=total-current-liabilities&ticker=CGNX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=CGNX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();