Gates Industrial (GTES) Cash & Equivalents (2017 - 2026)
Gates Industrial (GTES) posted Cash & Equivalents of $823.5 million for Q2 2026, up 14.4% from $719.7 million a year earlier and up 4.9% from the prior quarter.
Gates Industrial (GTES) Cash & Equivalents (2017 - 2026) Analysis & Trends
At the end of FY2025, Gates Industrial's Cash & Equivalents came in at $812.1 million, up 19.1% from FY2024.
- Annual Cash & Equivalents shows a four-year compound annual growth rate of 5.4% (FY2021 to FY2025).
- In prior years, Gates Industrial's Cash & Equivalents was $682 million in FY2024 (-5.4%), $720.6 million in FY2023 (+24.6%), $578.4 million in FY2022 (-12.1%) and $658.2 million in FY2021.
- The Q2 2026 figure stands as the highest quarterly Cash & Equivalents in data going back to Q4 2017.
- On a year-over-year basis, Cash & Equivalents has increased in each of the last six quarters, with growth averaging 15.1% over the last eight quarters.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q1 2023, with growth of 46.2%; the weakest was Q1 2024, with a decline of 12.2%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $785.3 million (Q1 2026), $812.1 million (Q4 2025) and $689.4 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn | 6.71 Bn |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn | 4.73 Bn |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn | 8.93 Bn |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn | 483.00 Mn |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn | 501.00 Mn |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn | 2.81 Bn |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn | 2.18 Bn |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn | 2.96 Bn |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn | 839.00 Mn |
| 10 | Gates Industrial | 6.99 Bn | 4.26 Bn | 386.10 Mn | 823.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 823.50 Mn |
| Mar 28, 2026 | 785.30 Mn |
| Dec 31, 2025 | 812.10 Mn |
| Sep 27, 2025 | 689.40 Mn |
| Jun 28, 2025 | 719.70 Mn |
| Mar 29, 2025 | 640.20 Mn |
| Dec 28, 2024 | 682.00 Mn |
| Sep 28, 2024 | 574.40 Mn |
| Jun 29, 2024 | 579.70 Mn |
| Mar 30, 2024 | 522.20 Mn |
| Dec 30, 2023 | 720.60 Mn |
| Sep 30, 2023 | 556.80 Mn |
| Jul 1, 2023 | 565.00 Mn |
| Apr 1, 2023 | 594.90 Mn |
| Dec 31, 2022 | 578.40 Mn |
| Oct 1, 2022 | 395.30 Mn |
| Jul 2, 2022 | 393.20 Mn |
| Apr 2, 2022 | 406.80 Mn |
| Jan 1, 2022 | 658.20 Mn |
| Oct 2, 2021 | 540.60 Mn |
Gates Industrial Cash & Equivalents 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=cash-and-equivalents&ticker=GTES&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "ticker": "GTES", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=cash-and-equivalents&ticker=GTES&period=max&api_key=YOUR_API_KEY");
const data = await res.json();