Canada Goose Holdings (GOOS) Cash & Equivalents (2015 - 2026)
Canada Goose Holdings (GOOS) recorded Cash & Equivalents of $149.68 million in fiscal Q1 2027 (quarter ended Jun 28, 2026), up 14.9% from $130.24 million a year earlier but down 49.7% from the prior quarter.
Canada Goose Holdings (GOOS) Cash & Equivalents (2015 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 29, 2026), Canada Goose Holdings reported Cash & Equivalents of $295.39 million, up 22.8% from FY2025.
- Annual Cash & Equivalents has a five-year compound annual growth rate of -4.0% (FY2021 to FY2026).
- Across earlier fiscal years, Cash & Equivalents came in at $240.58 million in FY2025 (+123.8%) and $107.48 million in FY2024.
- Quarterly Cash & Equivalents has ranged from $45.26 million in fiscal Q1 2025 to $297.82 million in fiscal Q4 2026 over the past five years.
- On a year-over-year basis, Cash & Equivalents has increased for seven consecutive quarters, with growth averaging 69.3% over the last seven quarters.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 187.8% in fiscal Q1 2026, against a decline of 55.3% in fiscal Q3 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $297.82 million (Q4 2026), $248.54 million (Q3 2026) and $68.47 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 50.34 Bn | 16.54 Bn | 4.80 Bn | 6.90 Bn |
| 2 | Tapestry | 23.66 Bn | 19.62 Bn | 1.56 Bn | 974.70 Mn |
| 3 | Ralph Lauren | 21.85 Bn | 13.95 Bn | 1.44 Bn | 1.72 Bn |
| 4 | Deckers Outdoor | 11.26 Bn | 4.14 Bn | - | 1.91 Bn |
| 5 | Lululemon Athletica | 10.07 Bn | 4.32 Bn | 1.46 Bn | 1.39 Bn |
| 6 | Levi Strauss | 7.67 Bn | 4.32 Bn | 979.10 Mn | 849.30 Mn |
| 7 | Gildan Activewear | 6.27 Bn | 5.26 Bn | 459.76 Mn | 268.30 Mn |
| 8 | Birkenstock Holding | 6.13 Bn | 4.43 Bn | 493.89 Mn | 806.25 Mn |
| 9 | Crocs | 5.68 Bn | 5.09 Bn | 700.71 Mn | 170.28 Mn |
| 10 | Canada Goose Holdings | 744.11 Mn | -7.81 Mn | - | 149.68 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 149.68 Mn |
| Mar 29, 2026 | 297.82 Mn |
| Dec 28, 2025 | 248.54 Mn |
| Sep 28, 2025 | 68.47 Mn |
| Jun 29, 2025 | 130.24 Mn |
| Mar 30, 2025 | 233.02 Mn |
| Dec 29, 2024 | 204.34 Mn |
| Sep 29, 2024 | 50.43 Mn |
| Jun 30, 2024 | 45.26 Mn |
| Mar 31, 2024 | 107.53 Mn |
| Dec 31, 2023 | 113.34 Mn |
| Jan 1, 2023 | 253.60 Mn |
| Sep 26, 2021 | 78.65 Mn |
| Jun 27, 2021 | 248.81 Mn |
| Mar 28, 2021 | 377.27 Mn |
| Dec 27, 2020 | 359.09 Mn |
| Sep 27, 2020 | 117.26 Mn |
| Jun 28, 2020 | 115.41 Mn |
| Mar 29, 2020 | 23.69 Mn |
| Dec 29, 2019 | 54.52 Mn |
Canada Goose Holdings Cash & Equivalents 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=cash-and-equivalents&ticker=GOOS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=GOOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();