Canada Goose Holdings (GOOS) Long-Term Debt Repayments (2018 - 2025)
Canada Goose Holdings (GOOS) recorded Long-Term Debt Repayments of -$17.51 million in fiscal Q4 2026 (quarter ended Mar 29, 2026), compared with -$15.05 million a year earlier.
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Analysis
Canada Goose Holdings (GOOS) Long-Term Debt Repayments (2018 - 2025) Analysis & Trends
For FY2026 (ended Mar 29, 2026), Canada Goose Holdings reported Long-Term Debt Repayments of -$63.1 million.
- Across earlier fiscal years, Long-Term Debt Repayments came in at -$61.66 million in FY2025, -$51.33 million in FY2024, -$9.91 million in FY2023 and -$10.89 million in FY2022.
- Quarterly Long-Term Debt Repayments has ranged from -$45.93 million in fiscal Q3 2025 to -$13.09 million in fiscal Q4 2023 over the past five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 56.86 Bn | 23.06 Bn | 4.80 Bn | - |
| 2 | Tapestry | 23.19 Bn | 19.15 Bn | 1.56 Bn | - |
| 3 | Ralph Lauren | 22.76 Bn | 14.86 Bn | 1.44 Bn | 7.10 Mn |
| 4 | Deckers Outdoor | 12.26 Bn | 5.13 Bn | - | - |
| 5 | Lululemon Athletica | 11.45 Bn | 5.70 Bn | 1.46 Bn | - |
| 6 | Levi Strauss | 8.24 Bn | 4.82 Bn | 1.07 Bn | - |
| 7 | V F | 6.84 Bn | 3.46 Bn | 917.04 Mn | - |
| 8 | Gildan Activewear | 6.52 Bn | 5.44 Bn | 459.76 Mn | -25.30 Mn |
| 9 | Birkenstock Holding | 6.23 Bn | 4.55 Bn | 493.89 Mn | 534.46 Mn |
| 10 | Canada Goose Holdings | 807.96 Mn | 46.27 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 30, 2025 | -766,529.48 |
| Dec 29, 2024 | -1.43 Mn |
| Sep 29, 2024 | -1.47 Mn |
| Mar 31, 2024 | -742,113.21 |
| Dec 31, 2023 | -2.20 Mn |
| Oct 1, 2023 | -1.49 Mn |
| Mar 31, 2023 | -739,696.37 |
| Jan 1, 2023 | -2.21 Mn |
| Oct 2, 2022 | -1.53 Mn |
| Mar 31, 2022 | -789,475.40 |
| Sep 26, 2021 | -1.51 Mn |
| Dec 29, 2019 | -149.03 Mn |
| Dec 31, 2018 | 94.63 Mn |
API Access
Canada Goose Holdings Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=GOOS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=GOOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();