Gildan Activewear (GIL) Shares Outstanding (2009 - 2026)
Gildan Activewear's Shares Outstanding was 160.16 million in the quarter ended Jun 28, 2026, unchanged from the prior quarter.
Gildan Activewear (GIL) Shares Outstanding (2009 - 2026) Analysis & Trends
For the year ended Dec 28, 2025, Shares Outstanding at Gildan Activewear came in at 153.01 million, down 6.1% from the prior year.
- Shares Outstanding has now declined for ten consecutive years, with a five-year compound annual growth rate of -5.1% (years ended Dec 2020 to Dec 2025).
- In earlier years, Shares Outstanding was 162.93 million in the year ended Dec 28, 2024 (-6.9%), 175.09 million in the year ended Dec 30, 2023 (-2.6%), 179.68 million in the year ended Dec 31, 2022 (-7.3%) and 193.84 million in the year ended Dec 31, 2021 (-2.3%).
- Quarterly Shares Outstanding has moved between 153.01 million (the quarter ended Dec 28, 2025) and 197.33 million (the quarter ended Sep 30, 2021) over five years.
- Compared with a year earlier, Shares Outstanding was higher in 1 of the last four quarters, with an average decline of 4.6%.
- The best year-over-year quarter for Shares Outstanding over five years was the quarter ended Mar 29, 2026 (growth of 4.0%); the worst was the quarter ended Mar 30, 2025 (a decline of 8.8%).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 55.70 Bn | 21.90 Bn | 4.80 Bn | 1.48 Bn |
| 2 | Tapestry | 23.51 Bn | 19.47 Bn | 1.56 Bn | 204.00 Mn |
| 3 | Ralph Lauren | 22.86 Bn | 14.96 Bn | 1.44 Bn | 60.10 Mn |
| 4 | Deckers Outdoor | 12.32 Bn | 5.19 Bn | - | 144.08 Mn |
| 5 | Lululemon Athletica | 10.92 Bn | 5.17 Bn | 1.46 Bn | 112.90 Mn |
| 6 | Levi Strauss | 8.09 Bn | 4.67 Bn | 1.07 Bn | 386.08 Mn |
| 7 | V F | 6.73 Bn | 3.35 Bn | 917.04 Mn | 392.11 Mn |
| 8 | Gildan Activewear | 6.45 Bn | 5.37 Bn | 459.76 Mn | 160.16 Mn |
| 9 | Birkenstock Holding | 6.04 Bn | 4.36 Bn | 493.89 Mn | 186.51 Mn |
| 10 | Crocs | 5.83 Bn | 5.24 Bn | 700.71 Mn | 49.12 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 160.16 Mn |
| Mar 29, 2026 | 160.16 Mn |
| Dec 28, 2025 | 153.01 Mn |
| Sep 27, 2025 | 150.76 Mn |
| Jun 29, 2025 | 151.88 Mn |
| Mar 30, 2025 | 162.93 Mn |
| Dec 28, 2024 | 162.93 Mn |
| Sep 28, 2024 | 168.01 Mn |
| Jun 30, 2024 | 168.01 Mn |
| Mar 31, 2024 | 168.87 Mn |
| Dec 31, 2023 | 175.94 Mn |
| Oct 1, 2023 | 175.09 Mn |
| Jul 2, 2023 | 177.62 Mn |
| Apr 2, 2023 | 179.54 Mn |
| Jan 1, 2023 | 184.13 Mn |
| Oct 2, 2022 | 181.98 Mn |
| Jul 3, 2022 | 185.51 Mn |
| Apr 3, 2022 | 189.34 Mn |
| Jan 2, 2022 | 197.01 Mn |
| Oct 3, 2021 | 197.33 Mn |
Gildan Activewear 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=GIL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "GIL", "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=GIL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();