Gates Industrial (GTES) Selling, General & Administrative (2017 - 2026)
Gates Industrial's Selling, General & Administrative came in at $250.7 million for Q2 2026, up 8.4% from $231.2 million a year earlier and up 10.5% from the prior quarter.
Gates Industrial (GTES) Selling, General & Administrative (2017 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 27, 2026, Gates Industrial reported Selling, General & Administrative of $906.3 million, up 2.1% year-over-year; for FY2025, it came in at $876.1 million, unchanged from FY2024.
- Selling, General & Administrative carries a four-year compound annual growth rate of 0.7% (FY2021 to FY2025).
- Going back by year, Selling, General & Administrative was $876.5 million in FY2024 (-0.9%), $884.7 million in FY2023 (+3.6%), $853.7 million in FY2022 (+0.1%) and $852.7 million in FY2021.
- The Q2 2026 figure represents the highest quarterly Selling, General & Administrative since Q4 2021.
- Year-over-year, Selling, General & Administrative increased in seven of the last eight quarters, with growth averaging 2.3%.
- The fastest year-over-year change in Selling, General & Administrative over five years came in Q2 2026 (growth of 8.4%), and the weakest in Q4 2022 (a decline of 25.4%).
- Business Quant data shows GTES's Selling, General & Administrative at $226.9 million (Q1 2026), $209.5 million (Q4 2025) and $219.2 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn | 2.02 Bn |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn | 939.90 Mn |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn | 1.22 Bn |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn | 1.24 Bn |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn | 874.00 Mn |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn | 494.40 Mn |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn | 1.34 Bn |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn | 1.06 Bn |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn | - |
| 10 | Gates Industrial | 6.99 Bn | 4.26 Bn | 386.10 Mn | 250.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 250.70 Mn |
| Mar 28, 2026 | 226.90 Mn |
| Dec 31, 2025 | 209.50 Mn |
| Sep 27, 2025 | 219.20 Mn |
| Jun 28, 2025 | 231.20 Mn |
| Mar 29, 2025 | 216.20 Mn |
| Dec 28, 2024 | 223.00 Mn |
| Sep 28, 2024 | 217.20 Mn |
| Jun 29, 2024 | 221.20 Mn |
| Mar 30, 2024 | 211.70 Mn |
| Dec 30, 2023 | 218.50 Mn |
| Sep 30, 2023 | 213.40 Mn |
| Jul 1, 2023 | 220.70 Mn |
| Apr 1, 2023 | 232.10 Mn |
| Dec 31, 2022 | 209.70 Mn |
| Oct 1, 2022 | 199.70 Mn |
| Jul 2, 2022 | 209.10 Mn |
| Apr 2, 2022 | 235.20 Mn |
| Jan 1, 2022 | 281.00 Mn |
| Oct 2, 2021 | 217.40 Mn |
Gates Industrial Selling, General & Administrative 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=selling-general-and-administrative&ticker=GTES&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=GTES&period=max&api_key=YOUR_API_KEY");
const data = await res.json();