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 | 55.87 Bn | 22.08 Bn | 4.80 Bn | - |
| 2 | Tapestry | 23.40 Bn | 19.36 Bn | 1.56 Bn | 5.46 Bn |
| 3 | Ralph Lauren | 22.93 Bn | 15.02 Bn | 1.44 Bn | 4.63 Bn |
| 4 | Deckers Outdoor | 12.38 Bn | 5.25 Bn | - | 384.05 Mn |
| 5 | Lululemon Athletica | 11.12 Bn | 5.37 Bn | 1.46 Bn | 3.63 Bn |
| 6 | Levi Strauss | 8.22 Bn | 4.81 Bn | 1.07 Bn | 4.29 Bn |
| 7 | V F | 6.82 Bn | 3.44 Bn | 917.04 Mn | 7.07 Bn |
| 8 | Gildan Activewear | 6.50 Bn | 5.42 Bn | 459.76 Mn | 4.37 Bn |
| 9 | Birkenstock Holding | 6.09 Bn | 4.42 Bn | 493.89 Mn | 2.70 Bn |
| 10 | Canada Goose Holdings | 813.78 Mn | 52.10 Mn | - | 555.82 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 555.82 Mn |
| Mar 29, 2026 | 546.42 Mn |
| Dec 28, 2025 | 861.91 Mn |
| Sep 28, 2025 | 812.28 Mn |
| Jun 29, 2025 | 509.63 Mn |
| Mar 30, 2025 | 734.16 Mn |
| Dec 29, 2024 | 828.78 Mn |
| Sep 29, 2024 | 864.44 Mn |
| Jun 30, 2024 | 782.23 Mn |
| Mar 31, 2024 | 746.16 Mn |
| Dec 31, 2023 | 857.55 Mn |
| Oct 1, 2023 | 875.10 Mn |
| Jul 2, 2023 | 765.28 Mn |
| Jan 1, 2023 | 867.77 Mn |
| Oct 2, 2022 | 840.69 Mn |
| Jul 3, 2022 | 739.03 Mn |
| Jan 2, 2022 | 794.94 Mn |
| Sep 26, 2021 | 750.91 Mn |
| Jun 27, 2021 | 685.67 Mn |
| Mar 28, 2021 | 698.71 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();