Canada Goose Holdings (GOOS) Current Assets (2016 - 2026)
Canada Goose Holdings (GOOS) recorded Current Assets of $606.39 million in fiscal Q1 2027 (quarter ended Jun 28, 2026), up 7.2% from $565.49 million a year earlier but down 14.2% from the prior quarter.
Canada Goose Holdings (GOOS) Current Assets (2016 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 29, 2026), Canada Goose Holdings reported Current Assets of $700.78 million, up 9.4% from FY2025.
- Annual Current Assets has a five-year compound annual growth rate of 0.6% (FY2021 to FY2026).
- Across earlier fiscal years, Current Assets came in at $640.59 million in FY2025 (+16.6%) and $549.5 million in FY2024.
- Quarterly Current Assets has ranged from $508 million in fiscal Q1 2025 to $744.96 million in fiscal Q3 2023 over the past five years.
- On a year-over-year basis, Current Assets has increased for seven consecutive quarters, with growth averaging 9.6% over the last seven quarters.
- Peak year-over-year performance for Current Assets in the last five years was growth of 13.9% in fiscal Q4 2026, against a decline of 16.6% in fiscal Q3 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $706.54 million (Q4 2026), $741.88 million (Q3 2026) and $592.71 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 55.43 Bn | 21.63 Bn | 4.80 Bn | 23.67 Bn |
| 2 | Tapestry | 23.47 Bn | 19.42 Bn | 1.56 Bn | 2.88 Bn |
| 3 | Ralph Lauren | 22.71 Bn | 14.80 Bn | 1.44 Bn | 3.83 Bn |
| 4 | Deckers Outdoor | 12.14 Bn | 5.01 Bn | - | 2.85 Bn |
| 5 | Lululemon Athletica | 10.83 Bn | 5.08 Bn | 1.46 Bn | 3.95 Bn |
| 6 | Levi Strauss | 8.06 Bn | 4.64 Bn | 1.07 Bn | 3.24 Bn |
| 7 | V F | 6.67 Bn | 3.29 Bn | 917.04 Mn | 4.20 Bn |
| 8 | Gildan Activewear | 6.41 Bn | 5.33 Bn | 459.76 Mn | 4.53 Bn |
| 9 | Birkenstock Holding | 5.99 Bn | 4.31 Bn | 493.89 Mn | 2.15 Bn |
| 10 | Canada Goose Holdings | 786.61 Mn | 24.92 Mn | - | 590.26 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 590.26 Mn |
| Mar 29, 2026 | 699.11 Mn |
| Dec 28, 2025 | 757.39 Mn |
| Sep 28, 2025 | 584.89 Mn |
| Jun 29, 2025 | 574.43 Mn |
| Mar 30, 2025 | 622.33 Mn |
| Dec 29, 2024 | 656.68 Mn |
| Sep 29, 2024 | 578.37 Mn |
| Jun 30, 2024 | 507.18 Mn |
| Mar 31, 2024 | 547.28 Mn |
| Dec 31, 2023 | 639.70 Mn |
| Oct 1, 2023 | 595.58 Mn |
| Jul 2, 2023 | 531.70 Mn |
| Jan 1, 2023 | 746.09 Mn |
| Oct 2, 2022 | 608.80 Mn |
| Jul 3, 2022 | 537.45 Mn |
| Jan 2, 2022 | 723.69 Mn |
| Sep 26, 2021 | 541.15 Mn |
| Jun 27, 2021 | 641.60 Mn |
| Mar 28, 2021 | 711.72 Mn |
Canada Goose Holdings Current Assets 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=current-assets&ticker=GOOS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "current-assets", "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=current-assets&ticker=GOOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();