Gates Industrial (GTES) Shares Outstanding (2016 - 2026)
Gates Industrial (GTES) reported Weighted Average Shares Outstanding of 253.58 million for Q3 2026, down 1.7% from 257.91 million a year earlier and unchanged from the prior quarter.
Gates Industrial (GTES) Shares Outstanding (2016 - 2026) Analysis & Trends
For FY2025, Gates Industrial posted Weighted Average Shares Outstanding of 256.66 million, down 1.1% from FY2024.
- Weighted Average Shares Outstanding has declined for four consecutive years, with a four-year compound annual growth rate of -3.1% (FY2021 to FY2025).
- By year, Weighted Average Shares Outstanding came in at 259.48 million in FY2024 (-4.6%), 271.88 million in FY2023 (-4.3%), 284.06 million in FY2022 (-2.6%) and 291.62 million in FY2021.
- Five-year quarterly Weighted Average Shares Outstanding spans a low of 253.58 million in Q2 2026 and a high of 291.62 million in Q4 2021.
- Year over year, Weighted Average Shares Outstanding has now declined in each of the last 16 quarters, with an average decline of 1.8% over the last eight quarters.
- Over the past five years, the year-over-year decline in Weighted Average Shares Outstanding ranged from 0.4% (Q3 2025) to 7.4% (Q1 2024).
- Per Business Quant data, the three quarters before Q3 2026 came in at 253.58 million (Q2 2026), 253.82 million (Q1 2026) and 256.66 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 267.46 Bn | 238.77 Bn | 7.35 Bn | 459.10 Mn |
| 2 | Amphenol | 197.37 Bn | 192.21 Bn | 4.02 Bn | 2.47 Bn |
| 3 | Deere | 185.36 Bn | 194.13 Bn | 4.66 Bn | 269.80 Mn |
| 4 | Eaton | 137.64 Bn | 134.62 Bn | 3.11 Bn | 388.60 Mn |
| 5 | Parker-Hannifin | 121.80 Bn | 119.79 Bn | 2.26 Bn | 126.10 Mn |
| 6 | 3M | 97.84 Bn | 80.25 Bn | 2.78 Bn | 518.80 Mn |
| 7 | Emerson Electric | 93.37 Bn | 85.86 Bn | 2.74 Bn | 559.60 Mn |
| 8 | Illinois Tool Works | 81.86 Bn | 78.53 Bn | 1.91 Bn | 284.60 Mn |
| 9 | Vertiv Holdings | 74.77 Bn | 63.62 Bn | 1.64 Bn | 385.00 Mn |
| 10 | Gates Industrial | 6.30 Bn | 3.43 Bn | 383.30 Mn | 252.78 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 252.78 Mn |
| Jun 27, 2026 | 253.58 Mn |
| Mar 28, 2026 | 253.82 Mn |
| Dec 31, 2025 | 256.66 Mn |
| Sep 27, 2025 | 257.91 Mn |
| Jun 28, 2025 | 257.21 Mn |
| Mar 29, 2025 | 255.79 Mn |
| Dec 28, 2024 | 259.48 Mn |
| Sep 28, 2024 | 258.89 Mn |
| Jun 29, 2024 | 261.44 Mn |
| Mar 30, 2024 | 262.67 Mn |
| Dec 30, 2023 | 271.88 Mn |
| Sep 30, 2023 | 263.98 Mn |
| Jul 1, 2023 | 275.88 Mn |
| Apr 1, 2023 | 283.52 Mn |
| Dec 31, 2022 | 284.06 Mn |
| Oct 1, 2022 | 282.33 Mn |
| Jul 2, 2022 | 281.77 Mn |
| Apr 2, 2022 | 290.45 Mn |
| Jan 1, 2022 | 291.62 Mn |
Gates Industrial Shares Outstanding 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=shares-outstanding&ticker=GTES&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=GTES&period=max&api_key=YOUR_API_KEY");
const data = await res.json();