Tapestry (TPR) Return on Sales [ROS] (2009 - 2026)
Tapestry (TPR) posted Return on Sales [ROS] of 23.57% for fiscal Q4 2026 (quarter ended Jun 27, 2026), up 57.43 percentage points from -33.86% a year earlier and up 1.31 percentage points from the prior quarter.
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Analysis
Tapestry (TPR) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 27, 2026), Tapestry's Return on Sales [ROS] came in at 23.92%, up 18.00 percentage points from FY2025.
- Annual Return on Sales [ROS] shows a five-year change of +7.07 percentage points (FY2021 to FY2026).
- In prior fiscal years, Tapestry's Return on Sales [ROS] was 5.92% in FY2025 (-11.17 pp), 17.09% in FY2024 (-0.51 pp), 17.60% in FY2023 (+0.01 pp) and 17.59% in FY2022 (+0.74 pp).
- Quarterly Return on Sales [ROS] has run from a low of -33.86% in fiscal Q4 2025 to a high of 28.63% in fiscal Q2 2026 over five years.
- On a year-over-year basis, Return on Sales [ROS] has increased in each of the last four quarters, with an average year-over-year change of +3.37 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was fiscal Q4 2026, with a gain of 57.43 percentage points; the weakest was fiscal Q4 2025, with a drop of 48.63 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior fiscal quarters was 22.26% (Q3 2026), 28.63% (Q2 2026) and 19.25% (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.05 Bn | 18.05 Bn | 5.39 Bn | 11.95% |
| 2 | Tapestry | 23.90 Bn | 19.86 Bn | 1.56 Bn | 23.57% |
| 3 | Ralph Lauren | 21.81 Bn | 13.91 Bn | 1.44 Bn | 17.47% |
| 4 | Deckers Outdoor | 11.33 Bn | 4.20 Bn | - | - |
| 5 | Lululemon Athletica | 10.22 Bn | 4.47 Bn | 1.46 Bn | 18.78% |
| 6 | Levi Strauss | 7.69 Bn | 4.35 Bn | 979.10 Mn | 7.82% |
| 7 | Gildan Activewear | 6.41 Bn | 5.41 Bn | 459.76 Mn | 11.12% |
| 8 | Birkenstock Holding | 6.07 Bn | 4.37 Bn | 493.89 Mn | 28.22% |
| 9 | Crocs | 5.74 Bn | 5.15 Bn | 700.71 Mn | 24.22% |
| 10 | V F | 5.66 Bn | 2.28 Bn | 917.04 Mn | -4.98% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 23.57% |
| Mar 28, 2026 | 22.26% |
| Dec 27, 2025 | 28.63% |
| Sep 27, 2025 | 19.25% |
| Jun 28, 2025 | -33.86% |
| Mar 29, 2025 | 16.01% |
| Dec 28, 2024 | 22.45% |
| Sep 28, 2024 | 16.72% |
| Jun 29, 2024 | 14.77% |
| Mar 30, 2024 | 13.78% |
| Dec 30, 2023 | 21.47% |
| Sep 30, 2023 | 16.73% |
| Jul 1, 2023 | 16.89% |
| Apr 1, 2023 | 14.99% |
| Dec 31, 2022 | 20.65% |
| Oct 1, 2022 | 16.88% |
| Jul 2, 2022 | 15.29% |
| Apr 2, 2022 | 11.79% |
| Jan 1, 2022 | 21.61% |
| Oct 2, 2021 | 19.92% |
API Access
Tapestry 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=TPR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "TPR", "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=TPR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();