Canada Goose Holdings (GOOS) Total Current Liabilities (2016 - 2026)
Canada Goose Holdings (GOOS) recorded Total Current Liabilities of $14.47 million in fiscal Q1 2027 (quarter ended Jun 28, 2026), up 23.0% from $11.76 million a year earlier and up 4.4% from the prior quarter.
Canada Goose Holdings (GOOS) Total Current Liabilities (2016 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 29, 2026), Canada Goose Holdings reported Total Current Liabilities of $13.75 million, up 19.4% from FY2025.
- Annual Total Current Liabilities has a five-year compound annual growth rate of -6.6% (FY2021 to FY2026).
- Across earlier fiscal years, Total Current Liabilities came in at $11.51 million in FY2025 (+8.5%) and $10.61 million in FY2024.
- The fiscal Q1 2027 figure is the highest quarterly Total Current Liabilities since fiscal Q4 2023.
- On a year-over-year basis, Total Current Liabilities has increased for seven consecutive quarters, with growth averaging 12.8% over the last seven quarters.
- Peak year-over-year performance for Total Current Liabilities in the last five years was growth of 46.0% in fiscal Q2 2022, against a decline of 62.2% in fiscal Q3 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $13.86 million (Q4 2026), $12.11 million (Q3 2026) and $11.92 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.94 Bn | 19.93 Bn | 5.39 Bn | 12.55 Bn |
| 2 | Tapestry | 22.74 Bn | 18.69 Bn | 1.56 Bn | 1.65 Bn |
| 3 | Ralph Lauren | 21.47 Bn | 13.57 Bn | 1.44 Bn | 1.88 Bn |
| 4 | Deckers Outdoor | 11.15 Bn | 4.02 Bn | - | 804.07 Mn |
| 5 | Lululemon Athletica | 10.72 Bn | 4.97 Bn | 1.46 Bn | 1.80 Bn |
| 6 | Levi Strauss | 7.64 Bn | 4.29 Bn | 979.10 Mn | 1.85 Bn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 2.35 Bn |
| 8 | Birkenstock Holding | 6.06 Bn | 4.37 Bn | 493.89 Mn | 37.55 Mn |
| 9 | Crocs | 5.89 Bn | 5.30 Bn | 700.71 Mn | 728.03 Mn |
| 10 | Canada Goose Holdings | 746.05 Mn | -5.87 Mn | - | 14.47 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 14.47 Mn |
| Mar 29, 2026 | 13.86 Mn |
| Dec 28, 2025 | 12.11 Mn |
| Sep 28, 2025 | 11.92 Mn |
| Jun 29, 2025 | 11.76 Mn |
| Mar 30, 2025 | 11.15 Mn |
| Dec 29, 2024 | 11.46 Mn |
| Sep 29, 2024 | 10.92 Mn |
| Jun 30, 2024 | 10.67 Mn |
| Mar 31, 2024 | 10.61 Mn |
| Dec 31, 2023 | 10.21 Mn |
| Jan 1, 2023 | 27.04 Mn |
| Sep 26, 2021 | 21.47 Mn |
| Jun 27, 2021 | 20.66 Mn |
| Mar 28, 2021 | 20.21 Mn |
| Dec 27, 2020 | 14.93 Mn |
| Sep 27, 2020 | 14.70 Mn |
| Jun 28, 2020 | 15.72 Mn |
| Mar 29, 2020 | 15.99 Mn |
| Dec 29, 2019 | 11.66 Mn |
Canada Goose Holdings Total Current 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-current-liabilities&ticker=GOOS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=GOOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();