Canada Goose Holdings (GOOS) Total Non-Current Liabilities (2016 - 2026)
Canada Goose Holdings (GOOS) recorded Total Non-Current Liabilities of $571.01 million in fiscal Q1 2027 (quarter ended Jun 28, 2026), up 13.8% from $501.71 million a year earlier and up 3.4% from the prior quarter.
Canada Goose Holdings (GOOS) Total Non-Current Liabilities (2016 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 29, 2026), Canada Goose Holdings reported Total Non-Current Liabilities of $547.73 million, down 27.5% from FY2025.
- Annual Total Non-Current Liabilities has a five-year compound annual growth rate of -3.8% (FY2021 to FY2026).
- Across earlier fiscal years, Total Non-Current Liabilities came in at $755.7 million in FY2025 (+0.9%) and $749.18 million in FY2024.
- Quarterly Total Non-Current Liabilities has ranged from $501.71 million in fiscal Q1 2026 to $866.46 million in fiscal Q3 2023 over the past five years.
- On a year-over-year basis, Total Non-Current Liabilities rose in two of the last seven quarters, with an average decline of 8.0%.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 15.3% in fiscal Q4 2023, against a decline of 36.0% in fiscal Q1 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $552.23 million (Q4 2026), $844.26 million (Q3 2026) and $823.14 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.14 Bn | 19.13 Bn | 5.39 Bn | - |
| 2 | Tapestry | 22.87 Bn | 18.83 Bn | 1.56 Bn | 5.46 Bn |
| 3 | Ralph Lauren | 21.39 Bn | 13.49 Bn | 1.44 Bn | 4.76 Bn |
| 4 | Deckers Outdoor | 11.06 Bn | 3.93 Bn | - | 384.05 Mn |
| 5 | Lululemon Athletica | 10.32 Bn | 4.58 Bn | 1.46 Bn | 3.63 Bn |
| 6 | Levi Strauss | 7.62 Bn | 4.28 Bn | 979.10 Mn | 4.12 Bn |
| 7 | Gildan Activewear | 6.55 Bn | 5.54 Bn | 459.76 Mn | 4.37 Bn |
| 8 | Birkenstock Holding | 6.07 Bn | 4.38 Bn | 493.89 Mn | 2.75 Bn |
| 9 | Crocs | 5.90 Bn | 5.31 Bn | 700.71 Mn | 2.33 Bn |
| 10 | Canada Goose Holdings | 748.97 Mn | -2.95 Mn | - | 571.01 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 571.01 Mn |
| Mar 29, 2026 | 552.23 Mn |
| Dec 28, 2025 | 844.26 Mn |
| Sep 28, 2025 | 823.14 Mn |
| Jun 29, 2025 | 501.71 Mn |
| Mar 30, 2025 | 731.97 Mn |
| Dec 29, 2024 | 855.68 Mn |
| Sep 29, 2024 | 853.80 Mn |
| Jun 30, 2024 | 783.49 Mn |
| Mar 31, 2024 | 787.98 Mn |
| Dec 31, 2023 | 833.33 Mn |
| Jan 1, 2023 | 866.46 Mn |
| Sep 26, 2021 | 756.17 Mn |
| Jun 27, 2021 | 687.23 Mn |
| Mar 28, 2021 | 711.19 Mn |
| Dec 27, 2020 | 734.48 Mn |
| Sep 27, 2020 | 661.34 Mn |
| Jun 28, 2020 | 566.61 Mn |
| Mar 29, 2020 | 440.03 Mn |
| Dec 29, 2019 | 471.32 Mn |
Canada Goose Holdings Total 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=total-non-current-liabilities&ticker=GOOS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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=total-non-current-liabilities&ticker=GOOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();