Canada Goose Holdings (GOOS) Inventory (2016 - 2026)
Canada Goose Holdings (GOOS) reported Inventory of $354.42 million for fiscal Q1 2027 (quarter ended Jun 28, 2026), up 11.8% from $317.13 million a year earlier and up 25.7% from the prior quarter.
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Analysis
Canada Goose Holdings (GOOS) Inventory (2016 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 29, 2026), Canada Goose Holdings posted Inventory of $279.55 million, up 1.2% from FY2025.
- Inventory has a five-year compound annual growth rate of 1.5% (FY2021 to FY2026).
- By fiscal year, Inventory came in at $276.26 million in FY2025 (-16.3%) and $330.23 million in FY2024.
- The fiscal Q1 2027 figure ranks as the highest quarterly Inventory since fiscal Q3 2023.
- Year over year, Inventory has now increased in each of the last three quarters, with an average decline of 4.6% over the last seven quarters.
- The high point for year-over-year Inventory in five years was fiscal Q4 2022 (growth of 14.9%); the low point was fiscal Q4 2025 (a decline of 19.0%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $281.84 million (Q4 2026), $292.81 million (Q3 2026) and $334.88 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.94 Bn | 19.93 Bn | 5.39 Bn | - |
| 2 | Tapestry | 22.74 Bn | 18.69 Bn | 1.56 Bn | 826.20 Mn |
| 3 | Ralph Lauren | 21.47 Bn | 13.57 Bn | 1.44 Bn | 1.16 Bn |
| 4 | Deckers Outdoor | 11.15 Bn | 4.02 Bn | - | 487.02 Mn |
| 5 | Lululemon Athletica | 10.72 Bn | 4.97 Bn | 1.46 Bn | 1.71 Bn |
| 6 | Levi Strauss | 7.64 Bn | 4.29 Bn | 979.10 Mn | 1.16 Bn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 2.17 Bn |
| 8 | Birkenstock Holding | 6.06 Bn | 4.37 Bn | 493.89 Mn | 980.27 Mn |
| 9 | Crocs | 5.89 Bn | 5.30 Bn | 700.71 Mn | 389.21 Mn |
| 10 | Canada Goose Holdings | 746.05 Mn | -5.87 Mn | - | 354.42 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 354.42 Mn |
| Mar 29, 2026 | 281.84 Mn |
| Dec 28, 2025 | 292.81 Mn |
| Sep 28, 2025 | 334.88 Mn |
| Jun 29, 2025 | 317.13 Mn |
| Mar 30, 2025 | 267.59 Mn |
| Dec 29, 2024 | 291.89 Mn |
| Sep 29, 2024 | 346.98 Mn |
| Jun 30, 2024 | 354.09 Mn |
| Mar 31, 2024 | 330.39 Mn |
| Dec 31, 2023 | 351.40 Mn |
| Jan 1, 2023 | 355.13 Mn |
| Sep 26, 2021 | 331.16 Mn |
| Jun 27, 2021 | 329.01 Mn |
| Mar 28, 2021 | 270.22 Mn |
| Dec 27, 2020 | 259.55 Mn |
| Sep 27, 2020 | 313.00 Mn |
| Jun 28, 2020 | 308.97 Mn |
| Mar 29, 2020 | 308.13 Mn |
| Dec 29, 2019 | 263.60 Mn |
API Access
Canada Goose Holdings Inventory 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=inventory&ticker=GOOS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=GOOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();