Gildan Activewear (GIL) Return on Capital Employed [ROCE] (2009 - 2026)
Gildan Activewear's Return on Capital Employed [ROCE] was 5.97% in the quarter ended Jun 28, 2026, up 0.91 percentage points from the prior quarter.
Gildan Activewear (GIL) Return on Capital Employed [ROCE] (2009 - 2026) Analysis & Trends
For the year ended Dec 28, 2025, Return on Capital Employed [ROCE] at Gildan Activewear came in at 12.40%.
- Return on Capital Employed [ROCE] shows a five-year change of +21.89 percentage points (years ended Dec 2020 to Dec 2025).
- Quarterly Return on Capital Employed [ROCE] has moved between 5.07% (the quarter ended Mar 29, 2026) and 22.06% (the quarter ended Mar 31, 2024) over five years.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 55.69 Bn | 21.89 Bn | 4.80 Bn | 14.08% |
| 2 | Tapestry | 22.67 Bn | 18.63 Bn | 1.56 Bn | 38.80% |
| 3 | Ralph Lauren | 22.66 Bn | 14.76 Bn | 1.44 Bn | 21.43% |
| 4 | Deckers Outdoor | 11.57 Bn | 4.45 Bn | - | - |
| 5 | Lululemon Athletica | 11.27 Bn | 5.52 Bn | 1.46 Bn | 29.51% |
| 6 | Levi Strauss | 8.11 Bn | 4.70 Bn | 1.07 Bn | 15.75% |
| 7 | V F | 6.67 Bn | 3.29 Bn | 917.04 Mn | 9.02% |
| 8 | Gildan Activewear | 6.43 Bn | 5.35 Bn | 459.76 Mn | 4.81% |
| 9 | Birkenstock Holding | 6.15 Bn | 4.47 Bn | 493.89 Mn | 11.39% |
| 10 | Crocs | 5.83 Bn | 5.25 Bn | 700.71 Mn | 23.21% |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 4.81% |
| Mar 29, 2026 | 4.80% |
| Dec 28, 2025 | 10.42% |
| Sep 27, 2025 | 19.22% |
| Jun 29, 2025 | 15.93% |
| Mar 30, 2025 | 14.47% |
| Dec 28, 2024 | 13.52% |
| Sep 28, 2024 | 17.14% |
| Jun 30, 2024 | 19.90% |
| Mar 31, 2024 | 21.98% |
| Dec 31, 2023 | 22.83% |
| Oct 1, 2023 | 19.26% |
| Jul 2, 2023 | 18.92% |
| Apr 2, 2023 | 19.49% |
| Jan 1, 2023 | 21.56% |
| Oct 2, 2022 | 25.22% |
| Jul 3, 2022 | 25.27% |
| Apr 3, 2022 | 25.50% |
| Jan 2, 2022 | 24.67% |
| Oct 3, 2021 | 22.11% |
Gildan Activewear 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=GIL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "GIL", "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=GIL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();