Gates Industrial (GTES) Consolidated Net Income (2017 - 2026)
Gates Industrial (GTES) reported Consolidated Net Income of $178 million for Q2 2026, up 182.1% from $63.1 million a year earlier and up 168.9% from the prior quarter.
Gates Industrial (GTES) Consolidated Net Income (2017 - 2026) Analysis & Trends
Over the twelve months ended Jun 27, 2026, Gates Industrial's Consolidated Net Income came in at $389.1 million, up 71.0% year-over-year; for FY2025, it came in at $276.3 million, up 25.6% from FY2024.
- Consolidated Net Income has a four-year compound annual growth rate of -4.4% (FY2021 to FY2025).
- By year, Consolidated Net Income came in at $219.9 million in FY2024 (-14.2%), $256.4 million in FY2023 (+5.7%), $242.5 million in FY2022 (-26.8%) and $331.3 million in FY2021.
- The Q2 2026 figure ranks as the highest quarterly Consolidated Net Income since Q4 2021.
- Year over year, Consolidated Net Income gained in four of the last eight quarters, with growth averaging 28.8%.
- The high point for year-over-year Consolidated Net Income in five years was Q2 2026 (growth of 182.1%); the low point was Q4 2022 (a decline of 67.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $66.2 million (Q1 2026), $56.3 million (Q4 2025) and $88.6 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Consol Net Inc. (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn | 3.59 Bn |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn | 1.78 Bn |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn | 1.38 Bn |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn | 823.00 Mn |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn | 1.09 Bn |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn | 497.80 Mn |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn | 718.00 Mn |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn | 938.00 Mn |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn | 815.00 Mn |
| 10 | Gates Industrial | 6.99 Bn | 4.26 Bn | 386.10 Mn | 178.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 178.00 Mn |
| Mar 28, 2026 | 66.20 Mn |
| Dec 31, 2025 | 56.30 Mn |
| Sep 27, 2025 | 88.60 Mn |
| Jun 28, 2025 | 63.10 Mn |
| Mar 29, 2025 | 68.30 Mn |
| Dec 28, 2024 | 41.10 Mn |
| Sep 28, 2024 | 55.10 Mn |
| Jun 29, 2024 | 77.60 Mn |
| Mar 30, 2024 | 46.10 Mn |
| Dec 30, 2023 | 69.10 Mn |
| Sep 30, 2023 | 85.50 Mn |
| Jul 1, 2023 | 71.20 Mn |
| Apr 1, 2023 | 30.60 Mn |
| Dec 31, 2022 | 90.10 Mn |
| Oct 1, 2022 | 56.00 Mn |
| Jul 2, 2022 | 59.10 Mn |
| Apr 2, 2022 | 37.30 Mn |
| Jan 1, 2022 | 273.80 Mn |
| Oct 2, 2021 | 78.00 Mn |
Gates Industrial Consolidated Net 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=consolidated-net-income&ticker=GTES&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "consolidated-net-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=consolidated-net-income&ticker=GTES&period=max&api_key=YOUR_API_KEY");
const data = await res.json();