Gates Industrial (GTES) Cost of Revenue (2017 - 2026)
Gates Industrial (GTES) recorded Cost of Revenue of $520.3 million in Q3 2026, up 1.2% from $514.1 million a year earlier but down 6.3% from the prior quarter.
Gates Industrial (GTES) Cost of Revenue (2017 - 2026) Analysis & Trends
On a TTM basis, Gates Industrial's Cost of Revenue came in at $2.12 billion as of Sep 26, 2026, up 4.2% year-over-year; for FY2025, it came in at $2.07 billion, up 1.1% from FY2024.
- Annual Cost of Revenue has a four-year compound annual growth rate of -0.8% (FY2021 to FY2025).
- Across earlier years, Cost of Revenue came in at $2.05 billion in FY2024 (-7.3%), $2.21 billion in FY2023 (-4.0%), $2.3 billion in FY2022 (+7.9%) and $2.14 billion in FY2021.
- Quarterly Cost of Revenue has ranged from $494.1 million in Q4 2024 to $869.3 million in Q4 2021 over the past five years.
- On a year-over-year basis, Cost of Revenue has increased for five consecutive quarters, with growth averaging 1.0% over the last eight quarters.
- Peak year-over-year performance for Cost of Revenue in the last five years was growth of 7.4% in Q4 2025, against a decline of 32.9% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $555.5 million (Q2 2026), $513.1 million (Q1 2026) and $530.9 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 267.46 Bn | 238.77 Bn | 7.35 Bn | 13.33 Bn |
| 2 | Amphenol | 197.37 Bn | 192.21 Bn | 4.02 Bn | 6.21 Bn |
| 3 | Deere | 185.36 Bn | 194.13 Bn | 4.66 Bn | 7.95 Bn |
| 4 | Eaton | 137.64 Bn | 134.62 Bn | 3.11 Bn | 5.84 Bn |
| 5 | Parker-Hannifin | 121.80 Bn | 119.79 Bn | 2.26 Bn | 3.73 Bn |
| 6 | 3M | 97.84 Bn | 80.25 Bn | 2.78 Bn | 3.80 Bn |
| 7 | Emerson Electric | 93.37 Bn | 85.86 Bn | 2.74 Bn | 2.46 Bn |
| 8 | Illinois Tool Works | 81.86 Bn | 78.53 Bn | 1.91 Bn | 2.33 Bn |
| 9 | Vertiv Holdings | 74.77 Bn | 63.62 Bn | 1.64 Bn | 2.67 Bn |
| 10 | Gates Industrial | 6.30 Bn | 3.43 Bn | 383.30 Mn | 520.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 520.30 Mn |
| Jun 27, 2026 | 555.50 Mn |
| Mar 28, 2026 | 513.10 Mn |
| Dec 31, 2025 | 530.90 Mn |
| Sep 27, 2025 | 514.10 Mn |
| Jun 28, 2025 | 523.50 Mn |
| Mar 29, 2025 | 503.00 Mn |
| Dec 28, 2024 | 494.10 Mn |
| Sep 28, 2024 | 494.90 Mn |
| Jun 29, 2024 | 528.10 Mn |
| Mar 30, 2024 | 532.60 Mn |
| Dec 30, 2023 | 525.60 Mn |
| Sep 30, 2023 | 529.50 Mn |
| Jul 1, 2023 | 583.60 Mn |
| Apr 1, 2023 | 572.60 Mn |
| Dec 31, 2022 | 583.30 Mn |
| Oct 1, 2022 | 551.20 Mn |
| Jul 2, 2022 | 580.60 Mn |
| Apr 2, 2022 | 588.50 Mn |
| Jan 1, 2022 | 869.30 Mn |
Gates Industrial Cost of Revenue 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=cost-of-revenue&ticker=GTES&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=GTES&period=max&api_key=YOUR_API_KEY");
const data = await res.json();