Gates Industrial (GTES) Shares Outstanding (Diluted) (2017 - 2026)
Gates Industrial's Shares Outstanding (Diluted) was 256.14 million in Q2 2026, down 1.7% from 260.47 million a year earlier and down 0.3% from the prior quarter.
Gates Industrial (GTES) Shares Outstanding (Diluted) (2017 - 2026) Analysis & Trends
For FY2025, Shares Outstanding (Diluted) at Gates Industrial came in at 260.53 million, down 1.6% from FY2024.
- Shares Outstanding (Diluted) has now declined for four consecutive years, with a four-year compound annual growth rate of -3.2% (FY2021 to FY2025).
- In earlier years, Shares Outstanding (Diluted) was 264.68 million in FY2024 (-4.0%), 275.65 million in FY2023 (-4.2%), 287.59 million in FY2022 (-3.3%) and 297.29 million in FY2021.
- The Q2 2026 figure marks the lowest quarterly Shares Outstanding (Diluted) since Q4 2017.
- Compared with a year earlier, Shares Outstanding (Diluted) has declined for 15 straight quarters, with an average decline of 2.0% over the last eight quarters.
- Across the past five years, year-over-year decline in Shares Outstanding (Diluted) ran from 0.7% in Q3 2025 to 7.1% in Q1 2024.
- Per Business Quant data, GTES's Shares Outstanding (Diluted) in the three quarters before Q2 2026 was 256.87 million (Q1 2026), 260.53 million (Q4 2025) and 261.56 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 462.50 Mn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 2.58 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 270.70 Mn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 389.50 Mn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 128.10 Mn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 392.75 Mn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 561.10 Mn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 522.40 Mn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 287.00 Mn |
| 10 | Gates Industrial | 6.64 Bn | 3.90 Bn | 386.10 Mn | 256.14 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 256.14 Mn |
| Mar 28, 2026 | 256.87 Mn |
| Dec 31, 2025 | 260.53 Mn |
| Sep 27, 2025 | 261.56 Mn |
| Jun 28, 2025 | 260.47 Mn |
| Mar 29, 2025 | 261.57 Mn |
| Dec 28, 2024 | 264.68 Mn |
| Sep 28, 2024 | 263.44 Mn |
| Jun 29, 2024 | 266.81 Mn |
| Mar 30, 2024 | 267.44 Mn |
| Dec 30, 2023 | 275.65 Mn |
| Sep 30, 2023 | 267.84 Mn |
| Jul 1, 2023 | 279.92 Mn |
| Apr 1, 2023 | 287.88 Mn |
| Dec 31, 2022 | 287.59 Mn |
| Oct 1, 2022 | 285.17 Mn |
| Jul 2, 2022 | 286.04 Mn |
| Apr 2, 2022 | 296.24 Mn |
| Jan 1, 2022 | 297.29 Mn |
| Oct 2, 2021 | 299.68 Mn |
Gates Industrial Shares Outstanding (Diluted) 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-diluted&ticker=GTES&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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-diluted&ticker=GTES&period=max&api_key=YOUR_API_KEY");
const data = await res.json();