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 | 59.22 Bn | 25.42 Bn | 4.80 Bn | 1.48 Bn |
| 2 | Tapestry | 27.73 Bn | 23.69 Bn | 1.56 Bn | 204.00 Mn |
| 3 | Ralph Lauren | 24.01 Bn | 15.93 Bn | 1.63 Bn | 60.00 Mn |
| 4 | Lululemon Athletica | 12.77 Bn | 7.02 Bn | 1.46 Bn | 112.90 Mn |
| 5 | Deckers Outdoor | 12.28 Bn | 5.48 Bn | 895.11 Mn | 135.04 Mn |
| 6 | Levi Strauss | 9.33 Bn | 5.91 Bn | 1.07 Bn | 386.08 Mn |
| 7 | V F | 8.24 Bn | 4.84 Bn | 1.49 Bn | 393.37 Mn |
| 8 | Crocs | 7.62 Bn | 7.03 Bn | 689.73 Mn | 47.41 Mn |
| 9 | Birkenstock Holding | 7.23 Bn | 5.55 Bn | 493.89 Mn | 186.51 Mn |
| 10 | Canada Goose Holdings | 883.66 Mn | 127.95 Mn | 183.36 Mn | 97.05 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2026 | 97.05 Mn |
| 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 |
| Oct 1, 2023 | 105.06 Mn |
| Jul 2, 2023 | 105.06 Mn |
| Mar 31, 2023 | 106.13 Mn |
| Jan 1, 2023 | 106.13 Mn |
| Oct 2, 2022 | 108.30 Mn |
| Jul 3, 2022 | 108.30 Mn |
| Mar 31, 2022 | 110.37 Mn |
| Jan 2, 2022 | 110.37 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();