Gates Industrial (GTES) Exchange Rate Effect (2017 - 2026)
Gates Industrial (GTES) posted Exchange Rate Effect of $6 million for Q3 2026, compared with -$2.1 million a year earlier.
Gates Industrial (GTES) Exchange Rate Effect (2017 - 2026) Analysis & Trends
For the trailing twelve months through Sep 26, 2026, Exchange Rate Effect at Gates Industrial was $2.5 million; for FY2025, it came in at $22.2 million.
- In prior years, Gates Industrial's Exchange Rate Effect was -$27.7 million in FY2024, $1.7 million in FY2023, -$1.5 million in FY2022 and -$11 million in FY2021.
- The Q3 2026 figure stands as the highest quarterly Exchange Rate Effect since Q2 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 267.46 Bn | 238.77 Bn | 7.35 Bn | -28.00 Mn |
| 2 | Amphenol | 197.37 Bn | 192.21 Bn | 4.02 Bn | 33.00 Mn |
| 3 | Deere | 185.36 Bn | 194.13 Bn | 4.66 Bn | -74.00 Mn |
| 4 | Eaton | 137.64 Bn | 134.62 Bn | 3.11 Bn | 6.00 Mn |
| 5 | Parker-Hannifin | 121.80 Bn | 119.79 Bn | 2.26 Bn | 7.00 Mn |
| 6 | 3M | 97.84 Bn | 80.25 Bn | 2.78 Bn | - |
| 7 | Emerson Electric | 93.37 Bn | 85.86 Bn | 2.74 Bn | -15.00 Mn |
| 8 | Illinois Tool Works | 81.86 Bn | 78.53 Bn | 1.91 Bn | 7.00 Mn |
| 9 | Vertiv Holdings | 74.77 Bn | 63.62 Bn | 1.64 Bn | 600,000.00 |
| 10 | Gates Industrial | 6.30 Bn | 3.43 Bn | 383.30 Mn | 6.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 6.00 Mn |
| Mar 28, 2026 | -4.70 Mn |
| Dec 31, 2025 | 1.20 Mn |
| Sep 27, 2025 | -2.10 Mn |
| Jun 28, 2025 | 16.50 Mn |
| Mar 29, 2025 | 6.60 Mn |
| Dec 28, 2024 | -26.30 Mn |
| Sep 28, 2024 | 14.80 Mn |
| Jun 29, 2024 | -7.30 Mn |
| Mar 30, 2024 | -8.90 Mn |
| Dec 30, 2023 | 15.00 Mn |
| Sep 30, 2023 | -17.70 Mn |
| Jul 1, 2023 | 8.50 Mn |
| Apr 1, 2023 | -4.10 Mn |
| Dec 31, 2022 | 31.30 Mn |
| Oct 1, 2022 | -19.90 Mn |
| Jul 2, 2022 | -8.20 Mn |
| Apr 2, 2022 | -4.70 Mn |
| Jan 1, 2022 | -6.90 Mn |
| Apr 3, 2021 | -5.80 Mn |
Gates Industrial Exchange Rate Effect 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=exchange-rate-effect&ticker=GTES&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=GTES&period=max&api_key=YOUR_API_KEY");
const data = await res.json();