Gates Industrial (GTES) Non Operating Interest Expenses (2017 - 2026)
Gates Industrial (GTES) recorded Non Operating Interest Expenses of $30 million in Q2 2026, up 4.2% from $28.8 million a year earlier and up 0.3% from the prior quarter.
Gates Industrial (GTES) Non Operating Interest Expenses (2017 - 2026) Analysis & Trends
On a TTM basis, Gates Industrial's Non Operating Interest Expenses came in at $127.4 million as of Jun 27, 2026, down 0.2% year-over-year; for FY2025, it came in at $125.9 million, down 19.2% from FY2024.
- Annual Non Operating Interest Expenses has a four-year compound annual growth rate of -1.5% (FY2021 to FY2025).
- Across earlier years, Non Operating Interest Expenses came in at $155.8 million in FY2024 (-4.5%), $163.2 million in FY2023 (+17.1%), $139.4 million in FY2022 (+4.4%) and $133.5 million in FY2021.
- Quarterly Non Operating Interest Expenses has ranged from $24.2 million in Q4 2021 to $49.1 million in Q2 2024 over the past five years.
- On a year-over-year basis, Non Operating Interest Expenses rose in two of the last eight quarters, with an average decline of 10.6%.
- Peak year-over-year performance for Non Operating Interest Expenses in the last five years was growth of 67.4% in Q4 2022, against a decline of 41.3% in Q2 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $29.9 million (Q1 2026), $32.6 million (Q4 2025) and $34.9 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 135.00 Mn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 213.70 Mn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 710.00 Mn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 201.00 Mn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 95.00 Mn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 17.40 Mn |
| 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 | 79.00 Mn |
| 10 | Gates Industrial | 6.64 Bn | 3.90 Bn | 386.10 Mn | 30.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 30.00 Mn |
| Mar 28, 2026 | 29.90 Mn |
| Dec 31, 2025 | 32.60 Mn |
| Sep 27, 2025 | 34.90 Mn |
| Jun 28, 2025 | 28.80 Mn |
| Mar 29, 2025 | 29.60 Mn |
| Dec 28, 2024 | 34.10 Mn |
| Sep 28, 2024 | 35.10 Mn |
| Jun 29, 2024 | 49.10 Mn |
| Mar 30, 2024 | 37.50 Mn |
| Dec 30, 2023 | 38.40 Mn |
| Sep 30, 2023 | 39.50 Mn |
| Jul 1, 2023 | 44.50 Mn |
| Apr 1, 2023 | 40.80 Mn |
| Dec 31, 2022 | 40.50 Mn |
| Oct 1, 2022 | 33.30 Mn |
| Jul 2, 2022 | 33.00 Mn |
| Apr 2, 2022 | 32.60 Mn |
| Jan 1, 2022 | 24.20 Mn |
| Oct 2, 2021 | 33.10 Mn |
Gates Industrial Non Operating Interest 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=non-operating-interest-expenses&ticker=GTES&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=GTES&period=max&api_key=YOUR_API_KEY");
const data = await res.json();