Canada Goose Holdings (GOOS) Other Non-Current Liabilities (2016 - 2026)
Canada Goose Holdings' Other Non-Current Liabilities was $30.38 million in fiscal Q1 2027 (quarter ended Jun 28, 2026), unchanged from $30.38 million a year earlier and up 7.6% from the prior quarter.
Canada Goose Holdings (GOOS) Other Non-Current Liabilities (2016 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 29, 2026), Other Non-Current Liabilities at Canada Goose Holdings came in at $28.01 million, down 3.4% from FY2025.
- Other Non-Current Liabilities shows a five-year compound annual growth rate of 12.7% (FY2021 to FY2026).
- In earlier fiscal years, Other Non-Current Liabilities was $28.99 million in FY2025 (-28.4%), $40.5 million in FY2024 and -$739,696 in FY2023.
- Quarterly Other Non-Current Liabilities has moved between -$2.15 million (fiscal Q4 2023) and $52.08 million (fiscal Q3 2024) over five years.
- Compared with a year earlier, Other Non-Current Liabilities was higher in two of the last six quarters, with an average decline of 4.3%.
- The best year-over-year quarter for Other Non-Current Liabilities over five years was fiscal Q2 2022 (growth of 259.4%); the worst was fiscal Q3 2025 (a decline of 40.7%).
- Per Business Quant data, GOOS's Other Non-Current Liabilities in the three fiscal quarters before Q1 2027 was $28.24 million (Q4 2026), $37.83 million (Q3 2026) and $36.78 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn |
| 10 | Canada Goose Holdings | 756.74 Mn | 4.82 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 30.38 Mn |
| Mar 29, 2026 | 28.24 Mn |
| Dec 28, 2025 | 37.83 Mn |
| Sep 28, 2025 | 36.78 Mn |
| Jun 29, 2025 | 30.38 Mn |
| Mar 30, 2025 | 28.08 Mn |
| Dec 29, 2024 | 30.88 Mn |
| Sep 29, 2024 | 38.19 Mn |
| Jun 30, 2024 | 31.73 Mn |
| Mar 31, 2024 | 2.08 Mn |
| Dec 31, 2023 | 52.08 Mn |
| Mar 31, 2023 | -739,696.37 |
| Jan 1, 2023 | 31.61 Mn |
| Sep 26, 2021 | 17.26 Mn |
| Jun 27, 2021 | 22.45 Mn |
| Dec 27, 2020 | 12.56 Mn |
| Sep 27, 2020 | 4.80 Mn |
| Jun 28, 2020 | 3.03 Mn |
| Mar 29, 2020 | 3.44 Mn |
| Dec 29, 2019 | 3.63 Mn |
Canada Goose Holdings Other Non-Current Liabilities 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-liabilities&ticker=GOOS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-liabilities", "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-liabilities&ticker=GOOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();