Canada Goose Holdings (GOOS) Change in Property, Plant and Equipment (2016 - 2026)
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Analysis
Canada Goose Holdings (GOOS) Change in Property, Plant and Equipment (2016 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in PP&E (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 55.42 Bn | 21.62 Bn | 4.80 Bn | -199.00 Mn |
| 2 | Ralph Lauren | 22.70 Bn | 14.79 Bn | 1.44 Bn | -53.40 Mn |
| 3 | Tapestry | 22.12 Bn | 18.08 Bn | 1.56 Bn | -53.20 Mn |
| 4 | Deckers Outdoor | 11.53 Bn | 4.41 Bn | - | - |
| 5 | Lululemon Athletica | 10.55 Bn | 4.80 Bn | 1.46 Bn | -149.68 Mn |
| 6 | Levi Strauss | 8.17 Bn | 4.75 Bn | 1.07 Bn | -58.60 Mn |
| 7 | Gildan Activewear | 7.49 Bn | 6.41 Bn | 459.76 Mn | 19.85 Mn |
| 8 | V F | 6.78 Bn | 3.40 Bn | 917.04 Mn | -17.07 Mn |
| 9 | Birkenstock Holding | 5.99 Bn | 4.31 Bn | 493.89 Mn | -30.39 Mn |
| 10 | Canada Goose Holdings | 782.97 Mn | 33.53 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 29, 2026 | 11.53 Mn |
| Dec 28, 2025 | 19.20 Mn |
| Sep 28, 2025 | 8.07 Mn |
| Mar 30, 2025 | 1.95 Mn |
| Dec 29, 2024 | 10.68 Mn |
| Sep 29, 2024 | 3.96 Mn |
| Mar 31, 2024 | 1.63 Mn |
| Dec 31, 2023 | 34.01 Mn |
| Oct 1, 2023 | 23.27 Mn |
| Mar 31, 2023 | 3.85 Mn |
| Jan 1, 2023 | 16.87 Mn |
| Oct 2, 2022 | 7.89 Mn |
| Mar 31, 2022 | 1.97 Mn |
| Jan 2, 2022 | 17.85 Mn |
| Sep 26, 2021 | 10.98 Mn |
| Dec 27, 2020 | 13.86 Mn |
| Sep 27, 2020 | 5.25 Mn |
| Mar 29, 2020 | 9.42 Mn |
| Dec 29, 2019 | 24.76 Mn |
| Sep 29, 2019 | 13.41 Mn |
API Access
Canada Goose Holdings Change in Property, Plant and Equipment 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=change-in-property-plant-and-equipment&ticker=GOOS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-property-plant-and-equipment", "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=change-in-property-plant-and-equipment&ticker=GOOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();