Canada Goose Holdings (GOOS) Shares Outstanding (Diluted) (2015 - 2026)
Canada Goose Holdings (GOOS) recorded Shares Outstanding (Diluted) of 99 million in fiscal Q1 2027 (quarter ended Jun 28, 2026), up 1.0% from 98.07 million a year earlier and unchanged from the prior quarter.
Canada Goose Holdings (GOOS) Shares Outstanding (Diluted) (2015 - 2026) Analysis & Trends
Starting with fiscal Q4 2015, Canada Goose Holdings' Shares Outstanding (Diluted) history includes 43 quarters.
- Annual Shares Outstanding (Diluted) has a five-year compound annual growth rate of -2.3% (FY2021 to FY2026).
- Across earlier fiscal years, Shares Outstanding (Diluted) came in at 98.07 million in FY2025 (-3.7%), 101.82 million in FY2024 (-4.1%), 106.13 million in FY2023 (-4.7%) and 111.36 million in FY2022 (+0.2%).
- Quarterly Shares Outstanding (Diluted) has ranged from 98.07 million in fiscal Q4 2025 to 111.36 million in fiscal Q3 2022 over the past five years.
- On a year-over-year basis, Shares Outstanding (Diluted) rose in two of the last eight quarters, with an average decline of 2.4%.
- Peak year-over-year performance for Shares Outstanding (Diluted) in the last five years was growth of 1.0% in fiscal Q1 2027, against a decline of 4.7% in fiscal Q3 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 99 million (Q4 2026), 98.07 million (Q3 2026) and 98.07 million (Q2 2026).
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 | Canada Goose Holdings | 756.74 Mn | 4.82 Mn | - | 99.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 99.00 Mn |
| Mar 29, 2026 | 99.00 Mn |
| Dec 28, 2025 | 98.07 Mn |
| Sep 28, 2025 | 98.07 Mn |
| Jun 29, 2025 | 98.07 Mn |
| Mar 30, 2025 | 98.07 Mn |
| Dec 29, 2024 | 101.82 Mn |
| Sep 29, 2024 | 101.82 Mn |
| Jun 30, 2024 | 101.82 Mn |
| Mar 31, 2024 | 101.82 Mn |
| Dec 31, 2023 | 104.52 Mn |
| Sep 30, 2023 | 105.62 Mn |
| Jun 30, 2023 | 105.62 Mn |
| Mar 31, 2023 | 106.13 Mn |
| Jan 1, 2023 | 106.13 Mn |
| Sep 30, 2022 | 109.15 Mn |
| Jun 30, 2022 | 109.15 Mn |
| Mar 31, 2022 | 111.36 Mn |
| Dec 31, 2021 | 111.36 Mn |
| Sep 26, 2021 | 111.11 Mn |
Canada Goose Holdings 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=GOOS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "GOOS", "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=GOOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();