Canada Goose Holdings (GOOS) EPS (Diluted) (2016 - 2026)
Canada Goose Holdings (GOOS) reported EPS (Diluted) of $0.21 for fiscal Q4 2026 (quarter ended Mar 29, 2026), up 7.5% from $0.19 a year earlier.
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Analysis
Canada Goose Holdings (GOOS) EPS (Diluted) (2016 - 2026) Analysis & Trends
For FY2026 (ended Mar 29, 2026), Canada Goose Holdings posted EPS (Diluted) of $0.16, down 76.4% from FY2025.
- EPS (Diluted) has a five-year compound annual growth rate of -19.2% (FY2021 to FY2026).
- By fiscal year, EPS (Diluted) came in at $0.70 in FY2025 (+63.5%), $0.43 in FY2024, -$0.59 in FY2023 and -$0.45 in FY2022.
- The fiscal Q4 2026 figure ranks as the highest quarterly EPS (Diluted) since fiscal Q3 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.94 Bn | 19.93 Bn | 5.39 Bn | 0.72 |
| 2 | Tapestry | 22.74 Bn | 18.69 Bn | 1.56 Bn | 1.65 |
| 3 | Ralph Lauren | 21.47 Bn | 13.57 Bn | 1.44 Bn | 4.28 |
| 4 | Deckers Outdoor | 11.15 Bn | 4.02 Bn | - | - |
| 5 | Lululemon Athletica | 10.72 Bn | 4.97 Bn | 1.46 Bn | 2.92 |
| 6 | Levi Strauss | 7.64 Bn | 4.29 Bn | 979.10 Mn | 0.22 |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | -0.31 |
| 8 | Birkenstock Holding | 6.06 Bn | 4.37 Bn | 493.89 Mn | 0.68 |
| 9 | Crocs | 5.89 Bn | 5.30 Bn | 700.71 Mn | 4.13 |
| 10 | Canada Goose Holdings | 746.05 Mn | -5.87 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 29, 2026 | 0.21 |
| Dec 28, 2025 | -0.04 |
| Sep 28, 2025 | -1.06 |
| Mar 30, 2025 | 0.19 |
| Dec 29, 2024 | 0.53 |
| Sep 29, 2024 | -0.49 |
| Jun 30, 2024 | 0.05 |
| Mar 31, 2024 | -0.54 |
| Dec 31, 2023 | 0.38 |
| Sep 30, 2023 | 0.92 |
| Jun 30, 2023 | 0.03 |
| Mar 31, 2023 | -0.59 |
| Jan 1, 2023 | 0.53 |
| Sep 30, 2022 | 1.06 |
| Jun 30, 2022 | 0.02 |
| Mar 31, 2022 | -0.45 |
| Dec 31, 2021 | -0.08 |
| Sep 26, 2021 | -0.34 |
| Mar 28, 2021 | 0.00 |
| Dec 27, 2020 | 0.59 |
API Access
Canada Goose Holdings EPS (Diluted) 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=eps-diluted&ticker=GOOS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=GOOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();