Canada Goose Holdings (GOOS) Accumulated Expenses (2016 - 2026)
Canada Goose Holdings (GOOS) recorded Accumulated Expenses of $148.31 million in fiscal Q1 2027 (quarter ended Jun 28, 2026), down 13.2% from $170.94 million a year earlier and down 5.0% from the prior quarter.
Canada Goose Holdings (GOOS) Accumulated Expenses (2016 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 29, 2026), Canada Goose Holdings reported Accumulated Expenses of $154.86 million, up 15.3% from FY2025.
- Annual Accumulated Expenses has a five-year compound annual growth rate of 2.9% (FY2021 to FY2026).
- Across earlier fiscal years, Accumulated Expenses came in at $134.32 million in FY2025 (+1.9%) and $131.81 million in FY2024.
- The fiscal Q1 2027 figure is the lowest quarterly Accumulated Expenses since fiscal Q4 2025.
- On a year-over-year basis, Accumulated Expenses rose in four of the last seven quarters, with growth averaging 14.3%.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 51.7% in fiscal Q1 2026, against a decline of 18.9% in fiscal Q3 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $156.13 million (Q4 2026), $197.67 million (Q3 2026) and $165.88 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn |
| 10 | Canada Goose Holdings | 756.74 Mn | 4.82 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 148.31 Mn |
| Mar 29, 2026 | 156.13 Mn |
| Dec 28, 2025 | 197.67 Mn |
| Sep 28, 2025 | 165.88 Mn |
| Jun 29, 2025 | 170.94 Mn |
| Mar 30, 2025 | 130.10 Mn |
| Dec 29, 2024 | 160.13 Mn |
| Sep 29, 2024 | 119.91 Mn |
| Jun 30, 2024 | 112.67 Mn |
| Mar 31, 2024 | 131.87 Mn |
| Dec 31, 2023 | 197.44 Mn |
| Jan 1, 2023 | 193.04 Mn |
| Sep 26, 2021 | 155.24 Mn |
| Jun 27, 2021 | 121.68 Mn |
| Mar 28, 2021 | 140.36 Mn |
| Dec 27, 2020 | 159.02 Mn |
| Sep 27, 2020 | 122.74 Mn |
| Jun 28, 2020 | 97.17 Mn |
| Mar 29, 2020 | 107.92 Mn |
| Dec 29, 2019 | 132.44 Mn |
Canada Goose Holdings Accumulated Expenses 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=accumulated-expenses&ticker=GOOS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=GOOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();