Canada Goose Holdings (GOOS) Depreciation & Amortization (CF) (2016 - 2026)
Canada Goose Holdings (GOOS) recorded Depreciation & Amortization (CF) of $25.83 million in fiscal Q4 2026 (quarter ended Mar 29, 2026), up 11.6% from $23.14 million a year earlier but down 62.5% from the prior quarter.
Canada Goose Holdings (GOOS) Depreciation & Amortization (CF) (2016 - 2026) Analysis & Trends
For FY2026 (ended Mar 29, 2026), Canada Goose Holdings reported Depreciation & Amortization (CF) of $95.16 million, up 1.2% from FY2025.
- Annual Depreciation & Amortization (CF) has increased for four straight fiscal years, with a five-year compound annual growth rate of 10.2% (FY2021 to FY2026).
- Across earlier fiscal years, Depreciation & Amortization (CF) came in at $94.03 million in FY2025 (+0.6%), $93.46 million in FY2024 (+332.7%), $21.6 million in FY2023 (+6.0%) and $20.37 million in FY2022 (-65.2%).
- Quarterly Depreciation & Amortization (CF) has ranged from $22.12 million in fiscal Q4 2023 to $69.86 million in fiscal Q3 2025 over the past five years.
- On a year-over-year basis, Depreciation & Amortization (CF) rose in two of the last five quarters, with growth averaging 1.0%.
- Peak year-over-year performance for Depreciation & Amortization (CF) in the last five years was growth of 40.1% in fiscal Q2 2022, against a decline of 4.7% in fiscal Q4 2025 at the low end.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn | 193.00 Mn |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn | 45.20 Mn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn | 58.90 Mn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - | - |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn | 142.33 Mn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn | 57.20 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 68.32 Mn |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn | 8.57 Mn |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn | 20.05 Mn |
| 10 | Canada Goose Holdings | 756.74 Mn | 4.82 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Mar 29, 2026 | 25.83 Mn |
| Dec 28, 2025 | 68.85 Mn |
| Sep 28, 2025 | 45.72 Mn |
| Mar 30, 2025 | 23.14 Mn |
| Dec 29, 2024 | 69.86 Mn |
| Sep 29, 2024 | 47.57 Mn |
| Mar 31, 2024 | 24.27 Mn |
| Dec 31, 2023 | 67.58 Mn |
| Mar 31, 2023 | 21.60 Mn |
| Jan 1, 2023 | 58.35 Mn |
| Mar 31, 2022 | 20.37 Mn |
| Sep 26, 2021 | 39.21 Mn |
| Dec 27, 2020 | 47.32 Mn |
| Sep 27, 2020 | 27.98 Mn |
| Mar 29, 2020 | 14.35 Mn |
| Dec 29, 2019 | 33.24 Mn |
| Sep 29, 2019 | 20.76 Mn |
| Jun 30, 2019 | 9.94 Mn |
| Mar 31, 2019 | 10.00 Mn |
| Dec 31, 2018 | 11.59 Mn |
Canada Goose Holdings Depreciation & Amortization (CF) 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=depreciation-and-amortization-cf&ticker=GOOS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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=depreciation-and-amortization-cf&ticker=GOOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();