Gates Industrial (GTES) EBITDA (2017 - 2026)
Gates Industrial's EBITDA came in at $188.7 million for Q2 2026, up 11.6% from $169.1 million a year earlier and up 13.9% from the prior quarter.
Gates Industrial (GTES) EBITDA (2017 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 27, 2026, Gates Industrial reported EBITDA of $686.3 million, up 0.9% year-over-year; for FY2025, it was $679.1 million, down 1.5% from FY2024.
- EBITDA carries a four-year compound annual growth rate of -1.0% (FY2021 to FY2025).
- Going back by year, EBITDA was $689.1 million in FY2024 (+1.7%), $677.6 million in FY2023 (+12.7%), $601.2 million in FY2022 (-14.9%) and $706.7 million in FY2021.
- The Q2 2026 figure represents the highest quarterly EBITDA since Q4 2021.
- Year-over-year, EBITDA increased in two of the last eight quarters, with an average decline of 1.6%.
- The fastest year-over-year change in EBITDA over five years came in Q1 2024 (growth of 20.8%), and the weakest in Q4 2022 (a decline of 63.6%).
- Business Quant data shows GTES's EBITDA at $165.6 million (Q1 2026), $163 million (Q4 2025) and $169 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn | 4.91 Bn |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn | 2.93 Bn |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn | 2.46 Bn |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn | 1.79 Bn |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn | 1.61 Bn |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn | 753.70 Mn |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn | 1.69 Bn |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn | 1.32 Bn |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn | 1.25 Bn |
| 10 | Gates Industrial | 6.75 Bn | 4.01 Bn | 386.10 Mn | 188.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 188.70 Mn |
| Mar 28, 2026 | 165.60 Mn |
| Dec 31, 2025 | 163.00 Mn |
| Sep 27, 2025 | 169.00 Mn |
| Jun 28, 2025 | 169.10 Mn |
| Mar 29, 2025 | 178.00 Mn |
| Dec 28, 2024 | 163.80 Mn |
| Sep 28, 2024 | 169.60 Mn |
| Jun 29, 2024 | 187.80 Mn |
| Mar 30, 2024 | 171.30 Mn |
| Dec 30, 2023 | 172.80 Mn |
| Sep 30, 2023 | 179.90 Mn |
| Jul 1, 2023 | 183.10 Mn |
| Apr 1, 2023 | 141.80 Mn |
| Dec 31, 2022 | 152.20 Mn |
| Oct 1, 2022 | 157.00 Mn |
| Jul 2, 2022 | 168.50 Mn |
| Apr 2, 2022 | 123.50 Mn |
| Jan 1, 2022 | 417.80 Mn |
| Oct 2, 2021 | 185.20 Mn |
Gates Industrial EBITDA 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=ebitda&ticker=GTES&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=GTES&period=max&api_key=YOUR_API_KEY");
const data = await res.json();