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.
Powered by 
Analysis
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 Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 55.70 Bn | 21.90 Bn | 4.80 Bn |
| 2 | Tapestry | 23.51 Bn | 19.47 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 22.86 Bn | 14.96 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 12.32 Bn | 5.19 Bn | - |
| 5 | Lululemon Athletica | 10.92 Bn | 5.17 Bn | 1.46 Bn |
| 6 | Levi Strauss | 8.09 Bn | 4.67 Bn | 1.07 Bn |
| 7 | V F | 6.73 Bn | 3.35 Bn | 917.04 Mn |
| 8 | Gildan Activewear | 6.45 Bn | 5.37 Bn | 459.76 Mn |
| 9 | Birkenstock Holding | 6.04 Bn | 4.36 Bn | 493.89 Mn |
| 10 | Canada Goose Holdings | 792.43 Mn | 30.74 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 213.23 Mn |
| Mar 29, 2026 | 203.44 Mn |
| Dec 28, 2025 | 179.93 Mn |
| Sep 28, 2025 | 174.88 Mn |
| Jun 29, 2025 | 173.35 Mn |
| Mar 30, 2025 | 172.57 Mn |
| Dec 29, 2024 | 184.10 Mn |
| Sep 29, 2024 | 189.08 Mn |
| Jun 30, 2024 | 191.40 Mn |
| Mar 31, 2024 | 185.14 Mn |
| Dec 31, 2023 | 185.12 Mn |
| Oct 1, 2023 | 187.68 Mn |
| Jul 2, 2023 | 190.64 Mn |
| Jan 1, 2023 | 184.70 Mn |
| Oct 2, 2022 | 182.90 Mn |
| Jul 3, 2022 | 179.12 Mn |
| Jan 2, 2022 | 163.60 Mn |
| Sep 26, 2021 | 176.91 Mn |
| Jun 27, 2021 | 174.24 Mn |
| Mar 28, 2021 | 166.33 Mn |
API Access
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_KEYimport 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();