Gildan Activewear (GIL) Shares Outstanding (Diluted) (2009 - 2026)
Gildan Activewear (GIL) reported Shares Outstanding (Diluted) of 160.2 million for the quarter ended Jun 28, 2026, unchanged from the prior quarter.
Gildan Activewear (GIL) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For the year ended Dec 28, 2025, Gildan Activewear posted Shares Outstanding (Diluted) of 153.07 million, down 6.2% from the prior year.
- Shares Outstanding (Diluted) has declined for ten consecutive years, with a five-year compound annual growth rate of -5.1% (years ended Dec 2020 to Dec 2025).
- By year, Shares Outstanding (Diluted) came in at 163.18 million in the year ended Dec 28, 2024 (-6.9%), 175.35 million in the year ended Dec 30, 2023 (-5.0%), 184.53 million in the year ended Dec 31, 2022 (-6.6%) and 197.6 million in the year ended Dec 31, 2021 (-0.4%).
- Five-year quarterly Shares Outstanding (Diluted) spans a low of 153.07 million in the quarter ended Dec 28, 2025 and a high of 198.06 million in the quarter ended Sep 30, 2021.
- Year over year, Shares Outstanding (Diluted) gained in 1 of the last four quarters, with an average decline of 4.6%.
- The high point for year-over-year Shares Outstanding (Diluted) in five years was the quarter ended Mar 29, 2026 (growth of 3.8%); the low point was the quarter ended Mar 30, 2025 (a decline of 8.6%).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn | 1.48 Bn |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn | 210.20 Mn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn | 61.30 Mn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - | 144.29 Mn |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn | 112.92 Mn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn | 389.63 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 160.20 Mn |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn | 186.51 Mn |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn | 49.63 Mn |
| 10 | V F | 5.53 Bn | 2.15 Bn | 917.04 Mn | 392.11 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 160.20 Mn |
| Mar 29, 2026 | 160.20 Mn |
| Dec 28, 2025 | 153.07 Mn |
| Sep 27, 2025 | 150.82 Mn |
| Jun 29, 2025 | 151.99 Mn |
| Mar 30, 2025 | 154.37 Mn |
| Dec 28, 2024 | 163.18 Mn |
| Sep 28, 2024 | 168.14 Mn |
| Jun 30, 2024 | 168.14 Mn |
| Mar 31, 2024 | 168.98 Mn |
| Dec 31, 2023 | 176.22 Mn |
| Sep 30, 2023 | 175.35 Mn |
| Jun 30, 2023 | 177.90 Mn |
| Mar 31, 2023 | 179.84 Mn |
| Dec 31, 2022 | 184.53 Mn |
| Sep 30, 2022 | 182.24 Mn |
| Jun 30, 2022 | 185.87 Mn |
| Mar 31, 2022 | 190.21 Mn |
| Jan 2, 2022 | 197.60 Mn |
| Sep 30, 2021 | 198.06 Mn |
Gildan Activewear 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=GIL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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-diluted&ticker=GIL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();