Canada Goose Holdings (GOOS) Enterprise Value (2017 - 2026)
Canada Goose Holdings (GOOS) posted Enterprise Value of $802.27 million for fiscal Q1 2027 (quarter ended Jun 28, 2026), down 18.4% from $983.45 million a year earlier but up 8.1% from the prior quarter.
Canada Goose Holdings (GOOS) Enterprise Value (2017 - 2026) Analysis & Trends
For the trailing twelve months through Jun 28, 2026, Enterprise Value at Canada Goose Holdings was $187.44 million, down 62.2% year-over-year; for FY2026 (ended Mar 29, 2026), it came in at $744.47 million, up 31.0% from FY2025.
- Annual Enterprise Value shows a five-year compound annual growth rate of -29.1% (FY2021 to FY2026).
- In prior fiscal years, Canada Goose Holdings' Enterprise Value was $568.42 million in FY2025 (-46.5%), $1.06 billion in FY2024 (-50.1%), $2.13 billion in FY2023 (-26.9%) and $2.91 billion in FY2022 (-30.0%).
- Quarterly Enterprise Value has run from a low of $575.62 million in fiscal Q4 2025 to a high of $4.14 billion in fiscal Q2 2022 over five years.
- On a year-over-year basis, Enterprise Value increased in three of the last eight quarters, with an average decline of 9.0%.
- The strongest year-over-year quarter for Enterprise Value in the past five years was fiscal Q3 2022, with growth of 34.8%; the weakest was fiscal Q2 2023, with a decline of 61.2%.
- According to Business Quant data, Enterprise Value for the three prior fiscal quarters was $742.16 million (Q4 2026), $1 billion (Q3 2026) and $1.25 billion (Q2 2026).
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
| Date | Value |
|---|---|
| Jun 28, 2026 | 802.27 Mn |
| Mar 29, 2026 | 742.16 Mn |
| Dec 28, 2025 | 1.00 Bn |
| Sep 28, 2025 | 1.25 Bn |
| Jun 29, 2025 | 983.45 Mn |
| Mar 30, 2025 | 575.62 Mn |
| Dec 29, 2024 | 769.59 Mn |
| Sep 29, 2024 | 1.18 Bn |
| Jun 30, 2024 | 1.21 Bn |
| Mar 31, 2024 | 1.06 Bn |
| Dec 31, 2023 | 1.13 Bn |
| Sep 30, 2023 | 1.62 Bn |
| Jun 30, 2023 | 1.96 Bn |
| Mar 31, 2023 | 2.12 Bn |
| Jan 1, 2023 | 1.72 Bn |
| Sep 30, 2022 | 1.68 Bn |
| Jun 30, 2022 | 1.99 Bn |
| Mar 31, 2022 | 2.91 Bn |
| Dec 31, 2021 | 4.09 Bn |
| Sep 26, 2021 | 4.14 Bn |
Canada Goose Holdings Enterprise Value 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=enterprise-value&ticker=GOOS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=GOOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();