Canada Goose Holdings (GOOS) Price to Earnings (2017 - 2025)
Canada Goose Holdings' Price to Earnings was 63.00 in FY2026 (year ended Mar 29, 2026), up 438.5% from 11.70 in FY2025.
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Analysis
Canada Goose Holdings (GOOS) Price to Earnings (2017 - 2025) Analysis & Trends
From FY2020 onward, Canada Goose Holdings has reported Price to Earnings for 5 fiscal years.
- The FY2026 figure marks the highest annual Price to Earnings since FY2021.
- Per Business Quant data, Price to Earnings in earlier fiscal years was 11.70 in FY2025 (-56.5%) and 26.87 in FY2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 59.22 Bn | 25.42 Bn | 4.80 Bn |
| 2 | Tapestry | 27.73 Bn | 23.69 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 24.01 Bn | 15.93 Bn | 1.63 Bn |
| 4 | Lululemon Athletica | 12.77 Bn | 7.02 Bn | 1.46 Bn |
| 5 | Deckers Outdoor | 12.28 Bn | 5.48 Bn | 895.11 Mn |
| 6 | Levi Strauss | 9.33 Bn | 5.91 Bn | 1.07 Bn |
| 7 | V F | 8.24 Bn | 4.84 Bn | 1.49 Bn |
| 8 | Crocs | 7.62 Bn | 7.03 Bn | 689.73 Mn |
| 9 | Birkenstock Holding | 7.23 Bn | 5.55 Bn | 493.89 Mn |
| 10 | Canada Goose Holdings | 883.66 Mn | 127.95 Mn | 183.36 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 30, 2025 | 36.74 |
| Jan 1, 2023 | 45.73 |
| Jan 2, 2022 | 37.18 |
| Mar 28, 2021 | 174.26 |
| Dec 27, 2020 | 23.09 |
| Sep 27, 2020 | 30.64 |
| Mar 29, 2020 | 19.62 |
| Dec 29, 2019 | 40.88 |
| Jun 30, 2019 | 179.51 |
| Mar 31, 2019 | 169.28 |
| Dec 31, 2018 | 121.64 |
| Sep 30, 2018 | 69.31 |
| Jun 30, 2018 | 141.48 |
| Mar 31, 2018 | 72.90 |
| Dec 31, 2017 | 67.63 |
| Sep 30, 2017 | 79.14 |
| Jun 30, 2017 | 127.28 |
| Mar 31, 2017 | 109.48 |
API Access
Canada Goose Holdings Price to Earnings 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=price-to-earnings&ticker=GOOS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=GOOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();