Canada Goose Holdings (GOOS) Restructuring Costs (2016 - 2020)
Canada Goose Holdings' Restructuring Costs came in at $756,551 for FY2021 (year ended Mar 28, 2021), down 58.1% from $1.81 million in FY2020.
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Analysis
Canada Goose Holdings (GOOS) Restructuring Costs (2016 - 2020) Analysis & Trends
Going back to FY2016, Canada Goose Holdings' Restructuring Costs data covers 6 fiscal years.
- Restructuring Costs carries a five-year compound annual growth rate of 27.1% (FY2016 to FY2021).
- The FY2021 figure represents the lowest annual Restructuring Costs since FY2017.
- Per Business Quant, earlier fiscal years put Restructuring Costs at $1.81 million in FY2020 (-21.1%), $2.29 million in FY2019 (+95.6%), $1.17 million in FY2018 (+777.0%) and $133,361 in FY2017 (-41.6%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 53.94 Bn | 19.93 Bn | 5.39 Bn |
| 2 | Tapestry | 22.74 Bn | 18.69 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 21.47 Bn | 13.57 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 11.15 Bn | 4.02 Bn | - |
| 5 | Lululemon Athletica | 10.72 Bn | 4.97 Bn | 1.46 Bn |
| 6 | Levi Strauss | 7.64 Bn | 4.29 Bn | 979.10 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn |
| 8 | Birkenstock Holding | 6.06 Bn | 4.37 Bn | 493.89 Mn |
| 9 | Crocs | 5.89 Bn | 5.30 Bn | 700.71 Mn |
| 10 | Canada Goose Holdings | 746.05 Mn | -5.87 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 29, 2020 | 373,667.49 |
| Mar 31, 2019 | 676,745.39 |
| Mar 31, 2017 | 3.34 Mn |
| Mar 31, 2016 | 212,008.00 |
API Access
Canada Goose Holdings Restructuring Costs 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=restructuring-costs&ticker=GOOS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=GOOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();