Gates Industrial (GTES) Operating Income (2017 - 2026)
Gates Industrial (GTES) recorded Operating Income of $131.3 million in Q3 2026, up 13.8% from $115.4 million a year earlier but down 0.2% from the prior quarter.
Gates Industrial (GTES) Operating Income (2017 - 2026) Analysis & Trends
On a TTM basis, Gates Industrial's Operating Income came in at $481.1 million as of Sep 26, 2026, up 3.1% year-over-year; for FY2025, it was $465.3 million, down 1.5% from FY2024.
- Annual Operating Income has a four-year compound annual growth rate of -1.0% (FY2021 to FY2025).
- Across earlier years, Operating Income came in at $472.2 million in FY2024 (+2.6%), $460.1 million in FY2023 (+19.8%), $384 million in FY2022 (-20.7%) and $484.1 million in FY2021.
- Quarterly Operating Income has ranged from $68.4 million in Q1 2022 to $358.4 million in Q4 2021 over the past five years.
- On a year-over-year basis, Operating Income rose in three of the last eight quarters, with growth averaging 0.1%.
- Peak year-over-year performance for Operating Income in the last five years was growth of 33.7% in Q1 2024, against a decline of 72.3% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $131.6 million (Q2 2026), $109.9 million (Q1 2026) and $108.3 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Inc (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 267.46 Bn | 238.77 Bn | 7.35 Bn | 4.21 Bn |
| 2 | Amphenol | 197.37 Bn | 192.21 Bn | 4.02 Bn | 3.02 Bn |
| 3 | Deere | 185.36 Bn | 194.13 Bn | 4.66 Bn | 1.86 Bn |
| 4 | Eaton | 137.64 Bn | 134.62 Bn | 3.11 Bn | 1.59 Bn |
| 5 | Parker-Hannifin | 121.80 Bn | 119.79 Bn | 2.26 Bn | 1.20 Bn |
| 6 | 3M | 97.84 Bn | 80.25 Bn | 2.78 Bn | 1.56 Bn |
| 7 | Emerson Electric | 93.37 Bn | 85.86 Bn | 2.74 Bn | 1.35 Bn |
| 8 | Illinois Tool Works | 81.86 Bn | 78.53 Bn | 1.91 Bn | 1.18 Bn |
| 9 | Vertiv Holdings | 74.77 Bn | 63.62 Bn | 1.64 Bn | 983.80 Mn |
| 10 | Gates Industrial | 6.30 Bn | 3.43 Bn | 383.30 Mn | 131.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 131.30 Mn |
| Jun 27, 2026 | 131.60 Mn |
| Mar 28, 2026 | 109.90 Mn |
| Dec 31, 2025 | 108.30 Mn |
| Sep 27, 2025 | 115.40 Mn |
| Jun 28, 2025 | 115.80 Mn |
| Mar 29, 2025 | 125.80 Mn |
| Dec 28, 2024 | 109.70 Mn |
| Sep 28, 2024 | 115.90 Mn |
| Jun 29, 2024 | 133.30 Mn |
| Mar 30, 2024 | 116.70 Mn |
| Dec 30, 2023 | 117.80 Mn |
| Sep 30, 2023 | 125.90 Mn |
| Jul 1, 2023 | 129.10 Mn |
| Apr 1, 2023 | 87.30 Mn |
| Dec 31, 2022 | 99.10 Mn |
| Oct 1, 2022 | 103.80 Mn |
| Jul 2, 2022 | 112.70 Mn |
| Apr 2, 2022 | 68.40 Mn |
| Jan 1, 2022 | 358.40 Mn |
Gates Industrial Operating Income 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-income&ticker=GTES&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-income", "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-income&ticker=GTES&period=max&api_key=YOUR_API_KEY");
const data = await res.json();