Gates Industrial (GTES) Operating Expenses (2017 - 2026)
Gates Industrial (GTES) posted Operating Expenses of $256 million for Q2 2026, up 4.8% from $244.2 million a year earlier and up 12.5% from the prior quarter.
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Analysis
Gates Industrial (GTES) Operating Expenses (2017 - 2026) Analysis & Trends
For the trailing twelve months through Jun 27, 2026, Operating Expenses at Gates Industrial was $924 million, up 2.0% year-over-year; for FY2025, it was $902.4 million, up 2.2% from FY2024.
- Annual Operating Expenses shows a four-year compound annual growth rate of 1.1% (FY2021 to FY2025).
- In prior years, Gates Industrial's Operating Expenses was $883 million in FY2024 (-1.5%), $896.3 million in FY2023 (+3.8%), $863.2 million in FY2022 (+0.1%) and $862.1 million in FY2021.
- The Q2 2026 figure stands as the highest quarterly Operating Expenses since Q4 2021.
- On a year-over-year basis, Operating Expenses increased in seven of the last eight quarters, with growth averaging 2.9%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q2 2025, with growth of 9.6%; the weakest was Q4 2022, with a decline of 18.7%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $227.6 million (Q1 2026), $214.7 million (Q4 2025) and $225.7 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn | 16.25 Bn |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn | 963.40 Mn |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn | 10.73 Bn |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn | 1.46 Bn |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn | 874.00 Mn |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn | 490.50 Mn |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn | 1.34 Bn |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn | 5.52 Bn |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn | - |
| 10 | Gates Industrial | 6.75 Bn | 4.01 Bn | 386.10 Mn | 256.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 256.00 Mn |
| Mar 28, 2026 | 227.60 Mn |
| Dec 31, 2025 | 214.70 Mn |
| Sep 27, 2025 | 225.70 Mn |
| Jun 28, 2025 | 244.20 Mn |
| Mar 29, 2025 | 217.80 Mn |
| Dec 28, 2024 | 224.50 Mn |
| Sep 28, 2024 | 219.40 Mn |
| Jun 29, 2024 | 222.80 Mn |
| Mar 30, 2024 | 212.90 Mn |
| Dec 30, 2023 | 219.80 Mn |
| Sep 30, 2023 | 216.00 Mn |
| Jul 1, 2023 | 222.90 Mn |
| Apr 1, 2023 | 237.60 Mn |
| Dec 31, 2022 | 209.40 Mn |
| Oct 1, 2022 | 204.90 Mn |
| Jul 2, 2022 | 213.20 Mn |
| Apr 2, 2022 | 236.00 Mn |
| Jan 1, 2022 | 257.50 Mn |
| Oct 2, 2021 | 219.30 Mn |
API Access
Gates Industrial Operating 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=operating-expenses&ticker=GTES&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=GTES&period=max&api_key=YOUR_API_KEY");
const data = await res.json();