Canada Goose Holdings (GOOS) Non-Current Debt (2016 - 2026)
Canada Goose Holdings (GOOS) posted Non-Current Debt of $303.27 million for fiscal Q1 2027 (quarter ended Jun 28, 2026), up 8.2% from $280.4 million a year earlier and up 2.3% from the prior quarter.
Canada Goose Holdings (GOOS) Non-Current Debt (2016 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 29, 2026), Canada Goose Holdings' Non-Current Debt came in at $294.09 million, up 0.3% from FY2025.
- Annual Non-Current Debt shows a five-year compound annual growth rate of 1.1% (FY2021 to FY2026).
- In prior fiscal years, Canada Goose Holdings' Non-Current Debt was $293.31 million in FY2025 (+1.8%) and $288.17 million in FY2024.
- The fiscal Q1 2027 figure stands as the highest quarterly Non-Current Debt in data going back to fiscal Q4 2016.
- On a year-over-year basis, Non-Current Debt increased in four of the last seven quarters, with growth averaging 2.4%.
- The strongest year-over-year quarter for Non-Current Debt in the past five years was fiscal Q2 2022, with growth of 161.4%; the weakest was fiscal Q3 2024, with a decline of 3.4%.
- According to Business Quant data, Non-Current Debt for the three prior fiscal quarters was $296.51 million (Q4 2026), $286.29 million (Q3 2026) and $297.01 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.94 Bn | 19.93 Bn | 5.39 Bn | 5.94 Bn |
| 2 | Tapestry | 22.74 Bn | 18.69 Bn | 1.56 Bn | - |
| 3 | Ralph Lauren | 21.47 Bn | 13.57 Bn | 1.44 Bn | 1.24 Bn |
| 4 | Deckers Outdoor | 11.15 Bn | 4.02 Bn | - | - |
| 5 | Lululemon Athletica | 10.72 Bn | 4.97 Bn | 1.46 Bn | - |
| 6 | Levi Strauss | 7.64 Bn | 4.29 Bn | 979.10 Mn | 1.04 Bn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 3.59 Bn |
| 8 | Birkenstock Holding | 6.06 Bn | 4.37 Bn | 493.89 Mn | 1.95 Bn |
| 9 | Crocs | 5.89 Bn | 5.30 Bn | 700.71 Mn | 1.31 Bn |
| 10 | Canada Goose Holdings | 746.05 Mn | -5.87 Mn | - | 303.27 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 303.27 Mn |
| Mar 29, 2026 | 296.51 Mn |
| Dec 28, 2025 | 286.29 Mn |
| Sep 28, 2025 | 297.01 Mn |
| Jun 29, 2025 | 280.40 Mn |
| Mar 30, 2025 | 284.10 Mn |
| Dec 29, 2024 | 294.11 Mn |
| Sep 29, 2024 | 282.70 Mn |
| Jun 30, 2024 | 286.24 Mn |
| Mar 31, 2024 | 288.31 Mn |
| Dec 31, 2023 | 279.86 Mn |
| Jan 1, 2023 | 289.85 Mn |
| Sep 26, 2021 | 296.57 Mn |
| Jun 27, 2021 | 295.42 Mn |
| Mar 28, 2021 | 290.35 Mn |
| Dec 27, 2020 | 287.96 Mn |
| Sep 27, 2020 | 113.44 Mn |
| Jun 28, 2020 | 111.45 Mn |
| Mar 29, 2020 | 118.15 Mn |
| Dec 29, 2019 | 111.77 Mn |
Canada Goose Holdings Non-Current Debt 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=non-current-debt&ticker=GOOS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=GOOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();