Canada Goose Holdings (GOOS) Non-cash Items (2018 - 2023)
Canada Goose Holdings' Non-cash Items came in at $184.67 million for FY2026 (year ended Mar 29, 2026), down 15.5% from $218.57 million in FY2025.
Analysis
Canada Goose Holdings (GOOS) Non-cash Items (2018 - 2023) Analysis & Trends
Going back to FY2017, Canada Goose Holdings' Non-cash Items data covers 9 fiscal years.
- Non-cash Items carries a five-year compound annual growth rate of 2.9% (FY2021 to FY2026).
- The FY2026 figure represents the lowest annual Non-cash Items since FY2022.
- Per Business Quant, earlier fiscal years put Non-cash Items at $218.57 million in FY2025 (+12.1%), $194.94 million in FY2024 and -$59.68 million in FY2022.
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jan 1, 2023 | 108.68 Mn |
| Sep 30, 2022 | 157.18 Mn |
| Jun 30, 2022 | 23.22 Mn |
| Mar 31, 2022 | -59.68 Mn |
| Dec 31, 2021 | 6.11 Mn |
| Sep 26, 2021 | -34.91 Mn |
| Mar 28, 2021 | 3.79 Mn |
| Dec 27, 2020 | 97.31 Mn |
| Sep 27, 2020 | -23.11 Mn |
| Mar 29, 2020 | -7.25 Mn |
| Dec 29, 2019 | 193.18 Mn |
| Sep 29, 2019 | 69.33 Mn |
| Jun 30, 2019 | 59.19 Mn |
| Mar 31, 2019 | -19.48 Mn |
| Dec 31, 2018 | 155.77 Mn |
| Sep 30, 2018 | 110.69 Mn |
| Jun 30, 2018 | 51.55 Mn |
| Mar 31, 2018 | -13.69 Mn |
API Access
Canada Goose Holdings Non-cash Items 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=non-cash-items&ticker=GOOS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-cash-items", "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=non-cash-items&ticker=GOOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();