Canada Goose Holdings (GOOS) Shares Outstanding (2015 - 2026)
Canada Goose Holdings (GOOS) recorded Shares Outstanding of 97.05 million in fiscal Q1 2027 (quarter ended Jun 28, 2026), up 0.3% from 96.74 million a year earlier and unchanged from the prior quarter.
Canada Goose Holdings (GOOS) Shares Outstanding (2015 - 2026) Analysis & Trends
Starting with fiscal Q4 2015, Canada Goose Holdings' Shares Outstanding history includes 43 quarters.
- Annual Shares Outstanding has a five-year compound annual growth rate of -2.5% (FY2021 to FY2026).
- Across earlier fiscal years, Shares Outstanding came in at 96.74 million in FY2025 (-4.0%), 100.82 million in FY2024 (-5.0%), 106.13 million in FY2023 (-3.8%) and 110.37 million in FY2022 (+0.1%).
- Quarterly Shares Outstanding has ranged from 96.74 million in fiscal Q4 2025 to 110.37 million in fiscal Q3 2022 over the past five years.
- On a year-over-year basis, Shares Outstanding rose in two of the last eight quarters, with an average decline of 2.9%.
- Peak year-over-year performance for Shares Outstanding in the last five years was growth of 0.4% in fiscal Q3 2022, against a decline of 4.0% in fiscal Q4 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 97.05 million (Q4 2026), 96.74 million (Q3 2026) and 96.74 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (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 | 204.00 Mn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn | 60.10 Mn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - | 144.08 Mn |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn | 112.90 Mn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn | 385.98 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 160.16 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 | 49.12 Mn |
| 10 | Canada Goose Holdings | 756.74 Mn | 4.82 Mn | - | 97.05 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 97.05 Mn |
| Mar 29, 2026 | 97.05 Mn |
| Dec 28, 2025 | 96.74 Mn |
| Sep 28, 2025 | 96.74 Mn |
| Jun 29, 2025 | 96.74 Mn |
| Mar 30, 2025 | 96.74 Mn |
| Dec 29, 2024 | 100.82 Mn |
| Sep 29, 2024 | 100.82 Mn |
| Jun 30, 2024 | 100.82 Mn |
| Mar 31, 2024 | 100.82 Mn |
| Dec 31, 2023 | 104.52 Mn |
| Sep 30, 2023 | 105.06 Mn |
| Jun 30, 2023 | 105.06 Mn |
| Mar 31, 2023 | 106.13 Mn |
| Jan 1, 2023 | 106.13 Mn |
| Sep 30, 2022 | 108.30 Mn |
| Jun 30, 2022 | 108.30 Mn |
| Mar 31, 2022 | 110.37 Mn |
| Dec 31, 2021 | 110.37 Mn |
| Sep 26, 2021 | 110.26 Mn |
Canada Goose Holdings 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=GOOS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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&ticker=GOOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();