Gates Industrial (GTES) Enterprise Value (2018 - 2026)
Gates Industrial (GTES) posted Enterprise Value of $6.35 billion for Q3 2026, up 4.4% from $6.09 billion a year earlier but down 7.1% from the prior quarter.
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Analysis
Gates Industrial (GTES) Enterprise Value (2018 - 2026) Analysis & Trends
For the trailing twelve months through Sep 26, 2026, Enterprise Value at Gates Industrial was $3.93 billion, down 2.8% year-over-year; for FY2025, it was $4.99 billion, up 1.6% from FY2024.
- Annual Enterprise Value has increased for three consecutive years, with a four-year compound annual growth rate of 3.4% (FY2021 to FY2025).
- In prior years, Gates Industrial's Enterprise Value was $4.91 billion in FY2024 (+55.9%), $3.15 billion in FY2023 (+5.7%), $2.98 billion in FY2022 (-31.6%) and $4.36 billion in FY2021.
- Quarterly Enterprise Value has run from a low of $2.67 billion in Q3 2022 to a high of $6.84 billion in Q2 2026 over five years.
- On a year-over-year basis, Enterprise Value has increased in each of the last 14 quarters, with growth averaging 23.3% over the last eight quarters.
- The strongest year-over-year quarter for Enterprise Value in the past five years was Q4 2024, with growth of 55.9%; the weakest was Q4 2022, with a decline of 31.6%.
- According to Business Quant data, Enterprise Value for the three prior quarters was $6.84 billion (Q2 2026), $5.19 billion (Q1 2026) and $4.99 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 267.46 Bn | 238.77 Bn | 7.35 Bn |
| 2 | Amphenol | 197.37 Bn | 192.21 Bn | 4.02 Bn |
| 3 | Deere | 185.36 Bn | 194.13 Bn | 4.66 Bn |
| 4 | Eaton | 137.64 Bn | 134.62 Bn | 3.11 Bn |
| 5 | Parker-Hannifin | 121.80 Bn | 119.79 Bn | 2.26 Bn |
| 6 | 3M | 97.84 Bn | 80.25 Bn | 2.78 Bn |
| 7 | Emerson Electric | 93.37 Bn | 85.86 Bn | 2.74 Bn |
| 8 | Illinois Tool Works | 81.86 Bn | 78.53 Bn | 1.91 Bn |
| 9 | Vertiv Holdings | 74.77 Bn | 63.62 Bn | 1.64 Bn |
| 10 | Gates Industrial | 6.30 Bn | 3.43 Bn | 383.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 6.30 Bn |
| Jun 27, 2026 | 6.84 Bn |
| Mar 28, 2026 | 5.19 Bn |
| Dec 31, 2025 | 4.99 Bn |
| Sep 27, 2025 | 6.09 Bn |
| Jun 28, 2025 | 5.58 Bn |
| Mar 29, 2025 | 4.43 Bn |
| Dec 28, 2024 | 4.91 Bn |
| Sep 28, 2024 | 4.32 Bn |
| Jun 29, 2024 | 3.87 Bn |
| Mar 30, 2024 | 4.42 Bn |
| Dec 30, 2023 | 3.15 Bn |
| Sep 30, 2023 | 2.83 Bn |
| Jul 1, 2023 | 3.31 Bn |
| Apr 1, 2023 | 3.70 Bn |
| Dec 31, 2022 | 2.98 Bn |
| Oct 1, 2022 | 2.67 Bn |
| Jul 2, 2022 | 3.05 Bn |
| Apr 2, 2022 | 4.26 Bn |
| Jan 1, 2022 | 4.36 Bn |
API Access
Gates Industrial Enterprise Value 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=enterprise-value&ticker=GTES&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=GTES&period=max&api_key=YOUR_API_KEY");
const data = await res.json();