Canada Goose Holdings (GOOS) Cost of Revenue (2016 - 2026)
Canada Goose Holdings (GOOS) recorded Cost of Revenue of $100.61 million in fiscal Q4 2026 (quarter ended Mar 29, 2026), up 31.0% from $76.79 million a year earlier but down 56.8% from the prior quarter.
Canada Goose Holdings (GOOS) Cost of Revenue (2016 - 2026) Analysis & Trends
For FY2026 (ended Mar 29, 2026), Canada Goose Holdings reported Cost of Revenue of $334.83 million, up 14.8% from FY2025.
- Annual Cost of Revenue has a five-year compound annual growth rate of 4.8% (FY2021 to FY2026).
- Across earlier fiscal years, Cost of Revenue came in at $291.59 million in FY2025 (-5.6%), $308.87 million in FY2024, $21.9 million in FY2023 (+2.0%) and $21.47 million in FY2022 (-91.9%).
- Quarterly Cost of Revenue has ranged from $26.35 million in fiscal Q4 2024 to $232.7 million in fiscal Q3 2026 over the past five years.
- On a year-over-year basis, Cost of Revenue has increased for three consecutive quarters, with growth averaging 31.4% over the last seven quarters.
- Peak year-over-year performance for Cost of Revenue in the last five years was growth of 295.4% in fiscal Q3 2023, against a decline of 74.0% in fiscal Q3 2022 at the low end.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 50.34 Bn | 16.54 Bn | 4.80 Bn | 6.42 Bn |
| 2 | Tapestry | 23.66 Bn | 19.62 Bn | 1.56 Bn | 313.00 Mn |
| 3 | Ralph Lauren | 21.85 Bn | 13.95 Bn | 1.44 Bn | 515.60 Mn |
| 4 | Deckers Outdoor | 11.26 Bn | 4.14 Bn | - | - |
| 5 | Lululemon Athletica | 10.07 Bn | 4.32 Bn | 1.46 Bn | 953.75 Mn |
| 6 | Levi Strauss | 7.67 Bn | 4.32 Bn | 979.10 Mn | 582.90 Mn |
| 7 | Gildan Activewear | 6.27 Bn | 5.26 Bn | 459.76 Mn | 1.12 Bn |
| 8 | Birkenstock Holding | 6.13 Bn | 4.43 Bn | 493.89 Mn | 342.46 Mn |
| 9 | Crocs | 5.68 Bn | 5.09 Bn | 700.71 Mn | 478.76 Mn |
| 10 | Canada Goose Holdings | 744.11 Mn | -7.81 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Mar 29, 2026 | 100.61 Mn |
| Dec 28, 2025 | 232.70 Mn |
| Sep 28, 2025 | 104.75 Mn |
| Mar 30, 2025 | 76.79 Mn |
| Dec 29, 2024 | 211.43 Mn |
| Sep 29, 2024 | 102.03 Mn |
| Jun 30, 2024 | 75.82 Mn |
| Mar 31, 2024 | 26.35 Mn |
| Dec 31, 2023 | 214.04 Mn |
| Sep 30, 2023 | 119.50 Mn |
| Jun 30, 2023 | 75.64 Mn |
| Mar 31, 2023 | 21.90 Mn |
| Jan 1, 2023 | 220.23 Mn |
| Sep 30, 2022 | 132.11 Mn |
| Jun 30, 2022 | 87.38 Mn |
| Mar 31, 2022 | 21.47 Mn |
| Dec 31, 2021 | 55.69 Mn |
| Sep 26, 2021 | 98.22 Mn |
| Mar 28, 2021 | 55.42 Mn |
| Dec 27, 2020 | 214.00 Mn |
Canada Goose Holdings Cost of Revenue 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=cost-of-revenue&ticker=GOOS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=GOOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();