Canada Goose Holdings (GOOS) Short-Term Debt issuances (2017 - 2025)
Canada Goose Holdings' Short-Term Debt issuances came in at $20.72 million for fiscal Q2 2026 (quarter ended Sep 28, 2025), up 8.7% from $19.06 million a year earlier.
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Analysis
Canada Goose Holdings (GOOS) Short-Term Debt issuances (2017 - 2025) Analysis & Trends
Over the trailing twelve months to Sep 28, 2025, Canada Goose Holdings reported Short-Term Debt issuances of $57.44 million, up 56.1% year-over-year; for FY2024 (ended Mar 31, 2024), it was $8.01 million, up 30.5% from FY2023.
- Going back by fiscal year, Short-Term Debt issuances was $6.14 million in FY2023 (+99.4%) and $3.08 million in FY2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ST Debt Issuance (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 56.89 Bn | 23.09 Bn | 4.80 Bn | - |
| 2 | Ralph Lauren | 22.95 Bn | 15.05 Bn | 1.44 Bn | - |
| 3 | Tapestry | 22.81 Bn | 18.77 Bn | 1.56 Bn | - |
| 4 | Deckers Outdoor | 12.13 Bn | 5.00 Bn | - | - |
| 5 | Lululemon Athletica | 11.09 Bn | 5.34 Bn | 1.46 Bn | - |
| 6 | Levi Strauss | 8.25 Bn | 4.84 Bn | 1.07 Bn | - |
| 7 | Gildan Activewear | 7.59 Bn | 6.51 Bn | 459.76 Mn | - |
| 8 | V F | 6.87 Bn | 3.49 Bn | 917.04 Mn | - |
| 9 | Birkenstock Holding | 6.20 Bn | 4.52 Bn | 493.89 Mn | - |
| 10 | Canada Goose Holdings | 808.23 Mn | 58.79 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 28, 2025 | 20.72 Mn |
| Sep 29, 2024 | 19.06 Mn |
| Mar 31, 2024 | 8.01 Mn |
| Oct 1, 2023 | 11.49 Mn |
| Mar 31, 2023 | 6.14 Mn |
| Jan 1, 2023 | 9.65 Mn |
| Oct 2, 2022 | 7.43 Mn |
| Mar 31, 2022 | 3.08 Mn |
| Dec 27, 2020 | -174.49 Mn |
| Sep 27, 2020 | 166.03 Mn |
| Dec 29, 2019 | -149.03 Mn |
| Mar 31, 2018 | 79,120.41 |
| Mar 31, 2017 | -43.47 Mn |
API Access
Canada Goose Holdings Short-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=short-term-debt-issuances&ticker=GOOS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-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=short-term-debt-issuances&ticker=GOOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();