Canada Goose Holdings (GOOS) Return on Sales [ROS] (2016 - 2026)
Canada Goose Holdings (GOOS) posted Return on Sales [ROS] of 14.32% for fiscal Q4 2026 (quarter ended Mar 29, 2026), down 0.01 percentage points from 14.33% a year earlier but up 12.09 percentage points from the prior quarter.
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Analysis
Canada Goose Holdings (GOOS) Return on Sales [ROS] (2016 - 2026) Analysis & Trends
For FY2026 (ended Mar 29, 2026), Canada Goose Holdings' Return on Sales [ROS] came in at 5.81%, down 6.36 percentage points from FY2025.
- Annual Return on Sales [ROS] shows a five-year change of -7.14 percentage points (FY2021 to FY2026).
- In prior fiscal years, Canada Goose Holdings' Return on Sales [ROS] was 12.17% in FY2025 (+2.84 pp), 9.33% in FY2024 (+126.90 pp), -117.57% in FY2023 (+0.03 pp) and -117.60% in FY2022 (-130.54 pp).
- Quarterly Return on Sales [ROS] has run from a low of -109.99% in fiscal Q4 2024 to a high of 34.98% in fiscal Q2 2023 over five years.
- On a year-over-year basis, Return on Sales [ROS] has declined in each of the last three quarters, with an average year-over-year change of +5.28 percentage points over the last seven quarters.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was fiscal Q4 2025, with a gain of 124.32 percentage points; the weakest was fiscal Q4 2024, with a drop of 115.99 percentage points.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 50.34 Bn | 16.54 Bn | 4.80 Bn | 7.92% |
| 2 | Tapestry | 23.66 Bn | 19.62 Bn | 1.56 Bn | 23.57% |
| 3 | Ralph Lauren | 21.85 Bn | 13.95 Bn | 1.44 Bn | 17.47% |
| 4 | Deckers Outdoor | 11.26 Bn | 4.14 Bn | - | - |
| 5 | Lululemon Athletica | 10.07 Bn | 4.32 Bn | 1.46 Bn | 18.78% |
| 6 | Levi Strauss | 7.67 Bn | 4.32 Bn | 979.10 Mn | 7.82% |
| 7 | Gildan Activewear | 6.27 Bn | 5.26 Bn | 459.76 Mn | 11.12% |
| 8 | Birkenstock Holding | 6.13 Bn | 4.43 Bn | 493.89 Mn | 28.22% |
| 9 | Crocs | 5.68 Bn | 5.09 Bn | 700.71 Mn | 24.22% |
| 10 | Canada Goose Holdings | 744.11 Mn | -7.81 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 29, 2026 | 14.32% |
| Dec 28, 2025 | 2.22% |
| Sep 28, 2025 | -46.35% |
| Mar 30, 2025 | 14.33% |
| Dec 29, 2024 | 11.31% |
| Sep 29, 2024 | -26.78% |
| Jun 30, 2024 | 0.60% |
| Mar 31, 2024 | -109.99% |
| Dec 31, 2023 | 10.39% |
| Sep 30, 2023 | 32.60% |
| Jun 30, 2023 | 0.82% |
| Mar 31, 2023 | -117.57% |
| Jan 1, 2023 | 14.07% |
| Sep 30, 2022 | 34.98% |
| Jun 30, 2022 | 7.76% |
| Mar 31, 2022 | -117.60% |
| Sep 26, 2021 | -17.01% |
| Mar 28, 2021 | 3.45% |
| Dec 27, 2020 | 15.70% |
| Sep 27, 2020 | -20.01% |
API Access
Canada Goose Holdings Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=GOOS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=GOOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();