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 | 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
| Date | Value |
|---|---|
| Jun 28, 2026 | 29.58 Mn |
| Mar 29, 2026 | 27.94 Mn |
| Dec 28, 2025 | 38.62 Mn |
| Sep 28, 2025 | 36.30 Mn |
| Jun 29, 2025 | 30.86 Mn |
| Mar 30, 2025 | 28.17 Mn |
| Dec 29, 2024 | 29.91 Mn |
| Sep 29, 2024 | 38.66 Mn |
| Jun 30, 2024 | 31.68 Mn |
| Mar 31, 2024 | 40.34 Mn |
| Dec 31, 2023 | 53.59 Mn |
| Oct 1, 2023 | 41.88 Mn |
| Jul 2, 2023 | 47.25 Mn |
| Jan 1, 2023 | 31.66 Mn |
| Oct 2, 2022 | 28.15 Mn |
| Jul 3, 2022 | 41.09 Mn |
| Jan 2, 2022 | 17.65 Mn |
| Sep 26, 2021 | 17.14 Mn |
| Jun 27, 2021 | 22.40 Mn |
| Mar 28, 2021 | 16.19 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();