Canada Goose Holdings (GOOS) Total Liabilities (2016 - 2026)
Canada Goose Holdings (GOOS) reported Total Liabilities of $843.82 million for fiscal Q1 2027 (quarter ended Jun 28, 2026), up 6.4% from $792.86 million a year earlier and up 1.0% from the prior quarter.
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Analysis
Canada Goose Holdings (GOOS) Total Liabilities (2016 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 29, 2026), Canada Goose Holdings posted Total Liabilities of $828.43 million, up 5.6% from FY2025.
- Total Liabilities has a five-year compound annual growth rate of 4.0% (FY2021 to FY2026).
- By fiscal year, Total Liabilities came in at $784.69 million in FY2025 (-0.6%) and $789.68 million in FY2024.
- Five-year quarterly Total Liabilities spans a low of $720.77 million in fiscal Q4 2022 and a high of $898.07 million in fiscal Q3 2023.
- Year over year, Total Liabilities gained in three of the last seven quarters, with growth averaging 0.8%.
- The high point for year-over-year Total Liabilities in five years was fiscal Q2 2022 (growth of 16.1%); the low point was fiscal Q4 2024 (a decline of 4.7%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $835.24 million (Q4 2026), $882.09 million (Q3 2026) and $859.92 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.94 Bn | 19.93 Bn | 5.39 Bn | 23.55 Bn |
| 2 | Tapestry | 22.74 Bn | 18.69 Bn | 1.56 Bn | 6.00 Bn |
| 3 | Ralph Lauren | 21.47 Bn | 13.57 Bn | 1.44 Bn | 4.94 Bn |
| 4 | Deckers Outdoor | 11.15 Bn | 4.02 Bn | - | 1.19 Bn |
| 5 | Lululemon Athletica | 10.72 Bn | 4.97 Bn | 1.46 Bn | 3.69 Bn |
| 6 | Levi Strauss | 7.64 Bn | 4.29 Bn | 979.10 Mn | 4.36 Bn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 7.74 Bn |
| 8 | Birkenstock Holding | 6.06 Bn | 4.37 Bn | 493.89 Mn | 3.33 Bn |
| 9 | Crocs | 5.89 Bn | 5.30 Bn | 700.71 Mn | 2.97 Bn |
| 10 | Canada Goose Holdings | 746.05 Mn | -5.87 Mn | - | 843.82 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 843.82 Mn |
| Mar 29, 2026 | 835.24 Mn |
| Dec 28, 2025 | 882.09 Mn |
| Sep 28, 2025 | 859.92 Mn |
| Jun 29, 2025 | 792.86 Mn |
| Mar 30, 2025 | 760.05 Mn |
| Dec 29, 2024 | 886.56 Mn |
| Sep 29, 2024 | 891.99 Mn |
| Jun 30, 2024 | 815.22 Mn |
| Mar 31, 2024 | 790.05 Mn |
| Dec 31, 2023 | 885.41 Mn |
| Jan 1, 2023 | 898.07 Mn |
| Sep 26, 2021 | 773.43 Mn |
| Jun 27, 2021 | 709.68 Mn |
| Mar 28, 2021 | 711.19 Mn |
| Dec 27, 2020 | 747.04 Mn |
| Sep 27, 2020 | 666.15 Mn |
| Jun 28, 2020 | 569.64 Mn |
| Mar 29, 2020 | 443.47 Mn |
| Dec 29, 2019 | 474.95 Mn |
API Access
Canada Goose Holdings Total 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-liabilities&ticker=GOOS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=GOOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();