Canada Goose Holdings (GOOS) Long-Term Debt Issuances (2016 - 2020)
Canada Goose Holdings (GOOS) posted Long-Term Debt Issuances of $12.01 million for FY2026 (year ended Mar 29, 2026), compared with -$2.23 million in FY2025.
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Analysis
Canada Goose Holdings (GOOS) Long-Term Debt Issuances (2016 - 2020) Analysis & Trends
Since FY2021, Canada Goose Holdings has reported Long-Term Debt Issuances for 4 fiscal years.
- Annual Long-Term Debt Issuances shows a five-year compound annual growth rate of -42.3% (FY2021 to FY2026).
- The FY2026 figure stands as the highest annual Long-Term Debt Issuances since FY2021.
- Business Quant data shows GOOS's Long-Term Debt Issuances at -$2.23 million in FY2025 and -$2.97 million in FY2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Issuance (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 56.59 Bn | 22.79 Bn | 4.80 Bn | - |
| 2 | Tapestry | 23.22 Bn | 19.18 Bn | 1.56 Bn | - |
| 3 | Ralph Lauren | 22.91 Bn | 15.01 Bn | 1.44 Bn | - |
| 4 | Deckers Outdoor | 12.28 Bn | 5.16 Bn | - | - |
| 5 | Lululemon Athletica | 11.66 Bn | 5.91 Bn | 1.46 Bn | - |
| 6 | Levi Strauss | 8.28 Bn | 4.86 Bn | 1.07 Bn | - |
| 7 | V F | 6.86 Bn | 3.48 Bn | 917.04 Mn | - |
| 8 | Gildan Activewear | 6.60 Bn | 5.52 Bn | 459.76 Mn | - |
| 9 | Birkenstock Holding | 6.28 Bn | 4.60 Bn | 493.89 Mn | - |
| 10 | Canada Goose Holdings | 807.96 Mn | 46.27 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 27, 2020 | 189.50 Mn |
| Sep 29, 2019 | 149.11 Mn |
| Jun 30, 2019 | 121.30 Mn |
| Mar 31, 2019 | -211.97 Mn |
| Dec 31, 2018 | 59.47 Mn |
| Sep 30, 2018 | 95.54 Mn |
| Jun 30, 2018 | 60.85 Mn |
| Sep 30, 2017 | 15.55 Mn |
| Jun 30, 2017 | 67.31 Mn |
| Mar 31, 2017 | 48.02 Mn |
| Dec 31, 2016 | -157.71 Mn |
| Sep 30, 2016 | 19.98 Mn |
| Jun 30, 2016 | 93.69 Mn |
API Access
Canada Goose Holdings Long-Term Debt Issuances 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-issuances&ticker=GOOS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-issuances", "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-issuances&ticker=GOOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();