Gates Industrial (GTES) Other Operating Expenses (2017 - 2024)
Gates Industrial (GTES) posted Other Operating Expenses of $100,000 for Q4 2024.
Analysis
Gates Industrial (GTES) Other Operating Expenses (2017 - 2024) Analysis & Trends
For FY2023, Gates Industrial's Other Operating Expenses came in at -$200,000.
- In prior years, Gates Industrial's Other Operating Expenses was -$200,000 in FY2022, $9.3 million in FY2021 and -$9.1 million in FY2019.
- The Q4 2024 figure stands as the highest quarterly Other Operating Expenses since Q4 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn |
| 10 | Gates Industrial | 6.64 Bn | 3.90 Bn | 386.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 28, 2024 | 100,000.00 |
| Jun 29, 2024 | -100,000.00 |
| Sep 30, 2023 | -100,000.00 |
| Jul 1, 2023 | -100,000.00 |
| Oct 1, 2022 | -100,000.00 |
| Jul 2, 2022 | -100,000.00 |
| Jan 1, 2022 | 8.10 Mn |
| Oct 2, 2021 | 9.30 Mn |
| Jul 3, 2021 | 500,000.00 |
| Sep 26, 2020 | -200,000.00 |
| Jun 27, 2020 | 3.70 Mn |
| Mar 28, 2020 | -2.30 Mn |
| Dec 28, 2019 | -2.50 Mn |
| Sep 28, 2019 | -1.80 Mn |
| Jun 29, 2019 | -1.90 Mn |
| Mar 30, 2019 | -2.90 Mn |
| Dec 29, 2018 | -1.80 Mn |
| Sep 29, 2018 | -5.10 Mn |
| Jun 30, 2018 | -3.10 Mn |
| Mar 31, 2018 | -4.30 Mn |
API Access
Gates Industrial Other 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=other-operating-expenses&ticker=GTES&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=GTES&period=max&api_key=YOUR_API_KEY");
const data = await res.json();