Canada Goose Holdings (GOOS) Non-Current Assets (2016 - 2026)
Canada Goose Holdings (GOOS) reported Non-Current Assets of $617.89 million for fiscal Q1 2027 (quarter ended Jun 28, 2026), up 14.7% from $538.87 million a year earlier and up 7.9% from the prior quarter.
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Analysis
Canada Goose Holdings (GOOS) Non-Current Assets (2016 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 29, 2026), Canada Goose Holdings posted Non-Current Assets of $567.92 million, up 6.5% from FY2025.
- Non-Current Assets has a five-year compound annual growth rate of 5.2% (FY2021 to FY2026).
- By fiscal year, Non-Current Assets came in at $533.46 million in FY2025 (-2.9%) and $549.5 million in FY2024.
- The fiscal Q1 2027 figure ranks as the highest quarterly Non-Current Assets in data going back to fiscal Q4 2016.
- Year over year, Non-Current Assets gained in three of the last seven quarters, with growth averaging 1.8%.
- The high point for year-over-year Non-Current Assets in five years was fiscal Q4 2023 (growth of 17.7%); the low point was fiscal Q4 2025 (a decline of 6.0%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $572.58 million (Q4 2026), $545.29 million (Q3 2026) and $575.27 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 55.70 Bn | 21.90 Bn | 4.80 Bn | 14.12 Bn |
| 2 | Tapestry | 23.51 Bn | 19.47 Bn | 1.56 Bn | 3.81 Bn |
| 3 | Ralph Lauren | 22.86 Bn | 14.96 Bn | 1.44 Bn | 3.82 Bn |
| 4 | Deckers Outdoor | 12.32 Bn | 5.19 Bn | - | 837.35 Mn |
| 5 | Lululemon Athletica | 10.92 Bn | 5.17 Bn | 1.46 Bn | 4.54 Bn |
| 6 | Levi Strauss | 8.09 Bn | 4.67 Bn | 1.07 Bn | 3.69 Bn |
| 7 | V F | 6.73 Bn | 3.35 Bn | 917.04 Mn | 5.26 Bn |
| 8 | Gildan Activewear | 6.45 Bn | 5.37 Bn | 459.76 Mn | 5.52 Bn |
| 9 | Birkenstock Holding | 6.04 Bn | 4.36 Bn | 493.89 Mn | 4.31 Bn |
| 10 | Canada Goose Holdings | 792.43 Mn | 30.74 Mn | - | 601.45 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 601.45 Mn |
| Mar 29, 2026 | 566.56 Mn |
| Dec 28, 2025 | 556.69 Mn |
| Sep 28, 2025 | 567.68 Mn |
| Jun 29, 2025 | 547.38 Mn |
| Mar 30, 2025 | 518.26 Mn |
| Dec 29, 2024 | 545.30 Mn |
| Sep 29, 2024 | 590.32 Mn |
| Jun 30, 2024 | 558.93 Mn |
| Mar 31, 2024 | 547.28 Mn |
| Dec 31, 2023 | 571.14 Mn |
| Oct 1, 2023 | 582.46 Mn |
| Jul 2, 2023 | 569.06 Mn |
| Jan 1, 2023 | 510.55 Mn |
| Oct 2, 2022 | 519.95 Mn |
| Jul 3, 2022 | 508.63 Mn |
| Jan 2, 2022 | 482.72 Mn |
| Sep 26, 2021 | 506.16 Mn |
| Jun 27, 2021 | 490.25 Mn |
| Mar 28, 2021 | 461.52 Mn |
API Access
Canada Goose Holdings Non-Current Assets 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-current-assets&ticker=GOOS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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-current-assets&ticker=GOOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();