Canada Goose Holdings (GOOS) Operating Leases (2019 - 2026)
Canada Goose Holdings' Operating Leases was $219.06 million in fiscal Q1 2027 (quarter ended Jun 28, 2026), up 28.4% from $170.65 million a year earlier and up 6.5% from the prior quarter.
Canada Goose Holdings (GOOS) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 29, 2026), Operating Leases at Canada Goose Holdings came in at $203.92 million, up 14.8% from FY2025.
- Operating Leases shows a five-year compound annual growth rate of 5.2% (FY2021 to FY2026).
- In earlier fiscal years, Operating Leases was $177.63 million in FY2025 (-4.4%) and $185.89 million in FY2024.
- The fiscal Q1 2027 figure marks the highest quarterly Operating Leases in data going back to fiscal Q1 2020.
- Compared with a year earlier, Operating Leases was higher in three of the last seven quarters, with growth averaging 3.2%.
- The best year-over-year quarter for Operating Leases over five years was fiscal Q1 2027 (growth of 28.4%); the worst was fiscal Q1 2026 (a decline of 11.0%).
- Per Business Quant data, GOOS's Operating Leases in the three fiscal quarters before Q1 2027 was $205.6 million (Q4 2026), $176.25 million (Q3 2026) and $177.22 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 53.94 Bn | 19.93 Bn | 5.39 Bn |
| 2 | Tapestry | 22.74 Bn | 18.69 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 21.47 Bn | 13.57 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 11.15 Bn | 4.02 Bn | - |
| 5 | Lululemon Athletica | 10.72 Bn | 4.97 Bn | 1.46 Bn |
| 6 | Levi Strauss | 7.64 Bn | 4.29 Bn | 979.10 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn |
| 8 | Birkenstock Holding | 6.06 Bn | 4.37 Bn | 493.89 Mn |
| 9 | Crocs | 5.89 Bn | 5.30 Bn | 700.71 Mn |
| 10 | Canada Goose Holdings | 746.05 Mn | -5.87 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 219.06 Mn |
| Mar 29, 2026 | 205.60 Mn |
| Dec 28, 2025 | 176.25 Mn |
| Sep 28, 2025 | 177.22 Mn |
| Jun 29, 2025 | 170.65 Mn |
| Mar 30, 2025 | 172.05 Mn |
| Dec 29, 2024 | 190.08 Mn |
| Sep 29, 2024 | 186.75 Mn |
| Jun 30, 2024 | 191.71 Mn |
| Mar 31, 2024 | 185.97 Mn |
| Dec 31, 2023 | 179.89 Mn |
| Jan 1, 2023 | 184.42 Mn |
| Sep 26, 2021 | 178.15 Mn |
| Jun 27, 2021 | 174.63 Mn |
| Mar 28, 2021 | 165.46 Mn |
| Dec 27, 2020 | 165.84 Mn |
| Sep 27, 2020 | 167.46 Mn |
| Jun 28, 2020 | 137.62 Mn |
| Mar 29, 2020 | 143.49 Mn |
| Dec 29, 2019 | 25.60 Mn |
Canada Goose Holdings Operating Leases 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=operating-leases&ticker=GOOS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=GOOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();