Canada Goose Holdings (GOOS) EV to CFO (2017 - 2026)
Canada Goose Holdings' EV to CFO was 3.20 in fiscal Q4 2026 (quarter ended Mar 29, 2026), down 45.8% from 5.90 a year earlier but up 26.9% from the prior quarter.
Canada Goose Holdings (GOOS) EV to CFO (2017 - 2026) Analysis & Trends
For FY2026 (ended Mar 29, 2026), EV to CFO at Canada Goose Holdings came in at 5.36, up 98.4% from FY2025.
- In earlier fiscal years, EV to CFO was 2.70 in FY2025 (-68.9%) and 8.69 in FY2024.
- Quarterly EV to CFO has moved between 2.52 (fiscal Q3 2026) and 132.40 (fiscal Q2 2022) over five years.
- Compared with a year earlier, EV to CFO has declined for three straight quarters, with growth averaging 11.0% over the last five quarters.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 53.14 Bn | 19.13 Bn | 5.39 Bn |
| 2 | Tapestry | 22.87 Bn | 18.83 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 21.39 Bn | 13.49 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 11.06 Bn | 3.93 Bn | - |
| 5 | Lululemon Athletica | 10.32 Bn | 4.58 Bn | 1.46 Bn |
| 6 | Levi Strauss | 7.62 Bn | 4.28 Bn | 979.10 Mn |
| 7 | Gildan Activewear | 6.55 Bn | 5.54 Bn | 459.76 Mn |
| 8 | Birkenstock Holding | 6.07 Bn | 4.38 Bn | 493.89 Mn |
| 9 | Crocs | 5.90 Bn | 5.31 Bn | 700.71 Mn |
| 10 | Canada Goose Holdings | 748.97 Mn | -2.95 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Mar 29, 2026 | 3.20 |
| Dec 28, 2025 | 2.52 |
| Sep 28, 2025 | 78.07 |
| Mar 30, 2025 | 5.90 |
| Dec 29, 2024 | 2.99 |
| Mar 31, 2024 | 4.19 |
| Dec 31, 2023 | 5.53 |
| Jan 1, 2023 | 8.15 |
| Sep 26, 2021 | 132.40 |
| Dec 27, 2020 | 8.05 |
| Dec 29, 2019 | 65.18 |
| Sep 29, 2019 | 94.21 |
| Jun 30, 2019 | 13.29 |
| Mar 31, 2019 | 15.61 |
| Dec 31, 2018 | 20.15 |
| Sep 30, 2018 | 37.75 |
| Jun 30, 2018 | 100.59 |
| Mar 31, 2018 | 14.62 |
| Dec 31, 2017 | 11.19 |
| Sep 30, 2017 | 19.96 |
Canada Goose Holdings EV to CFO 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=ev-to-cfo&ticker=GOOS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-cfo", "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=ev-to-cfo&ticker=GOOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();