Tapestry (TPR) Return on Capital Employed [ROCE] (2009 - 2026)
Tapestry's Return on Capital Employed [ROCE] was 38.80% in fiscal Q4 2026 (quarter ended Jun 27, 2026), up 31.09 percentage points from 7.70% a year earlier and up 21.11 percentage points from the prior quarter.
Tapestry (TPR) Return on Capital Employed [ROCE] (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 27, 2026), Return on Capital Employed [ROCE] at Tapestry came in at 38.36%, up 33.43 percentage points from FY2025.
- Return on Capital Employed [ROCE] shows a five-year change of +23.97 percentage points (FY2021 to FY2026).
- In earlier fiscal years, Return on Capital Employed [ROCE] was 4.92% in FY2025 (-8.42 pp), 13.34% in FY2024 (-6.51 pp), 19.86% in FY2023 (+1.35 pp) and 18.50% in FY2022 (+4.11 pp).
- The fiscal Q4 2026 figure marks the highest quarterly Return on Capital Employed [ROCE] since fiscal Q4 2014.
- Compared with a year earlier, Return on Capital Employed [ROCE] was higher in five of the last eight quarters, with an average year-over-year change of +3.72 percentage points.
- The best year-over-year quarter for Return on Capital Employed [ROCE] over five years was fiscal Q4 2026 (a gain of 31.09 percentage points); the worst was fiscal Q4 2024 (a drop of 10.72 percentage points).
- Per Business Quant data, TPR's Return on Capital Employed [ROCE] in the three fiscal quarters before Q4 2026 was 17.69% (Q3 2026), 15.11% (Q2 2026) and 10.33% (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.05 Bn | 18.05 Bn | 5.39 Bn | 15.07% |
| 2 | Tapestry | 23.90 Bn | 19.86 Bn | 1.56 Bn | 38.80% |
| 3 | Ralph Lauren | 21.81 Bn | 13.91 Bn | 1.44 Bn | 21.43% |
| 4 | Deckers Outdoor | 11.33 Bn | 4.20 Bn | - | - |
| 5 | Lululemon Athletica | 10.22 Bn | 4.47 Bn | 1.46 Bn | 29.51% |
| 6 | Levi Strauss | 7.69 Bn | 4.35 Bn | 979.10 Mn | 14.72% |
| 7 | Gildan Activewear | 6.41 Bn | 5.41 Bn | 459.76 Mn | 5.97% |
| 8 | Birkenstock Holding | 6.07 Bn | 4.37 Bn | 493.89 Mn | 10.20% |
| 9 | Crocs | 5.74 Bn | 5.15 Bn | 700.71 Mn | 23.21% |
| 10 | V F | 5.66 Bn | 2.28 Bn | 917.04 Mn | 9.02% |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 38.80% |
| Mar 28, 2026 | 17.69% |
| Dec 27, 2025 | 15.11% |
| Sep 27, 2025 | 10.33% |
| Jun 28, 2025 | 7.70% |
| Mar 29, 2025 | 21.83% |
| Dec 28, 2024 | 13.55% |
| Sep 28, 2024 | 9.73% |
| Jun 29, 2024 | 9.62% |
| Mar 30, 2024 | 9.50% |
| Dec 30, 2023 | 13.29% |
| Sep 30, 2023 | 19.73% |
| Jul 1, 2023 | 20.34% |
| Apr 1, 2023 | 19.20% |
| Dec 31, 2022 | 18.70% |
| Oct 1, 2022 | 19.36% |
| Jul 2, 2022 | 20.16% |
| Apr 2, 2022 | 20.12% |
| Jan 1, 2022 | 18.51% |
| Oct 2, 2021 | 16.19% |
Tapestry Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=TPR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=TPR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();