Gates Industrial (GTES) Cost of Revenue (2017 - 2026)
Gates Industrial (GTES) recorded Cost of Revenue of $555.5 million in Q2 2026, up 6.1% from $523.5 million a year earlier and up 8.3% from the prior quarter.
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Analysis
Gates Industrial (GTES) Cost of Revenue (2017 - 2026) Analysis & Trends
On a TTM basis, Gates Industrial's Cost of Revenue came in at $2.11 billion as of Jun 27, 2026, up 4.9% 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.
- The Q2 2026 figure is the highest quarterly Cost of Revenue since Q2 2023.
- On a year-over-year basis, Cost of Revenue has increased for four consecutive quarters, with growth averaging 0.1% 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 $513.1 million (Q1 2026), $530.9 million (Q4 2025) and $514.1 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn | 12.78 Bn |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn | 5.21 Bn |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn | 7.95 Bn |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn | 5.68 Bn |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn | 3.51 Bn |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn | 2.04 Bn |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn | 2.22 Bn |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn | 3.82 Bn |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn | 2.40 Bn |
| 10 | Gates Industrial | 6.99 Bn | 4.26 Bn | 386.10 Mn | 555.50 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Oct 2, 2021 | 521.70 Mn |
API Access
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_KEYimport 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();