Canada Goose Holdings (GOOS) Other Non-Current Assets (2017 - 2026)
Canada Goose Holdings' Other Non-Current Assets came in at $26.55 million for fiscal Q1 2027 (quarter ended Jun 28, 2026), compared with $865,880 a year earlier and up 137.8% from the prior quarter.
Canada Goose Holdings (GOOS) Other Non-Current Assets (2017 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 29, 2026), Canada Goose Holdings' Other Non-Current Assets was $11.07 million.
- Other Non-Current Assets carries a five-year compound annual growth rate of 23.5% (FY2021 to FY2026).
- Going back by fiscal year, Other Non-Current Assets was $71,944 in FY2025 (-98.6%) and $5.19 million in FY2024.
- The fiscal Q1 2027 figure represents the highest quarterly Other Non-Current Assets in data going back to fiscal Q3 2018.
- Year-over-year, Other Non-Current Assets increased in 1 of the last five quarters, with an average decline of 36.4%.
- The fastest year-over-year change in Other Non-Current Assets over five years came in fiscal Q2 2022 (growth of 401.1%), and the weakest in fiscal Q4 2025 (a decline of 98.7%).
- Business Quant data shows GOOS's Other Non-Current Assets at $11.16 million (Q4 2026), $931,383 (Q3 2026) and $872,280 (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 55.70 Bn | 21.90 Bn | 4.80 Bn | - |
| 2 | Tapestry | 23.51 Bn | 19.47 Bn | 1.56 Bn | 180.20 Mn |
| 3 | Ralph Lauren | 22.86 Bn | 14.96 Bn | 1.44 Bn | 146.90 Mn |
| 4 | Deckers Outdoor | 12.32 Bn | 5.19 Bn | - | 66.33 Mn |
| 5 | Lululemon Athletica | 10.92 Bn | 5.17 Bn | 1.46 Bn | 332.64 Mn |
| 6 | Levi Strauss | 8.09 Bn | 4.67 Bn | 1.07 Bn | 545.60 Mn |
| 7 | V F | 6.73 Bn | 3.35 Bn | 917.04 Mn | 2.88 Bn |
| 8 | Gildan Activewear | 6.45 Bn | 5.37 Bn | 459.76 Mn | 98.97 Mn |
| 9 | Birkenstock Holding | 6.04 Bn | 4.36 Bn | 493.89 Mn | 14.17 Mn |
| 10 | Canada Goose Holdings | 792.43 Mn | 30.74 Mn | - | 25.84 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 25.84 Mn |
| Mar 29, 2026 | 11.05 Mn |
| Dec 28, 2025 | 950,848.45 |
| Sep 28, 2025 | 860,770.44 |
| Jun 29, 2025 | 879,565.50 |
| Mar 30, 2025 | 69,893.41 |
| Dec 29, 2024 | 10.83 Mn |
| Sep 29, 2024 | 1.41 Mn |
| Jun 30, 2024 | 3.94 Mn |
| Mar 31, 2024 | 5.17 Mn |
| Dec 31, 2023 | 5.14 Mn |
| Oct 1, 2023 | 9.04 Mn |
| Jul 2, 2023 | 9.28 Mn |
| Jan 1, 2023 | 16.38 Mn |
| Oct 2, 2022 | 19.67 Mn |
| Jul 3, 2022 | 13.83 Mn |
| Jan 2, 2022 | 6.43 Mn |
| Sep 26, 2021 | 4.11 Mn |
| Jun 27, 2021 | 3.57 Mn |
| Mar 28, 2021 | 4.05 Mn |
Canada Goose Holdings Other Non-Current Assets 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=other-non-current-assets&ticker=GOOS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-assets", "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=other-non-current-assets&ticker=GOOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();