Oxford Industries (OXM) Return on Capital Employed [ROCE] (2011 - 2026)
Oxford Industries (OXM) posted Return on Capital Employed [ROCE] of -0.16% for fiscal Q2 2027 (quarter ended Aug 1, 2026), down 7.14 percentage points from 6.98% a year earlier but up 4.08 percentage points from the prior quarter.
Oxford Industries (OXM) Return on Capital Employed [ROCE] (2011 - 2026) Analysis & Trends
For FY2026 (ended Jan 31, 2026), Oxford Industries' Return on Capital Employed [ROCE] came in at -3.03%, down 15.61 percentage points from FY2025.
- Annual Return on Capital Employed [ROCE] shows a five-year change of +13.42 percentage points (FY2021 to FY2026).
- In prior fiscal years, Oxford Industries' Return on Capital Employed [ROCE] was 12.59% in FY2025 (+3.62 pp), 8.97% in FY2024 (-18.26 pp), 27.23% in FY2023 (+3.08 pp) and 24.14% in FY2022 (+40.59 pp).
- Quarterly Return on Capital Employed [ROCE] has run from a low of -4.24% in fiscal Q1 2027 to a high of 29.33% in fiscal Q2 2023 over five years.
- On a year-over-year basis, Return on Capital Employed [ROCE] has declined in each of the last four quarters, with an average year-over-year change of -6.03 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Capital Employed [ROCE] in the past five years was fiscal Q4 2022, with a gain of 41.03 percentage points; the weakest was fiscal Q3 2025, with a drop of 19.71 percentage points.
- According to Business Quant data, Return on Capital Employed [ROCE] for the three prior fiscal quarters was -4.24% (Q1 2027), -3.03% (Q4 2026) and -0.29% (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 50.34 Bn | 16.54 Bn | 4.80 Bn | 14.08% |
| 2 | Tapestry | 23.66 Bn | 19.62 Bn | 1.56 Bn | 38.80% |
| 3 | Ralph Lauren | 21.85 Bn | 13.95 Bn | 1.44 Bn | 21.43% |
| 4 | Deckers Outdoor | 11.26 Bn | 4.14 Bn | - | - |
| 5 | Lululemon Athletica | 10.07 Bn | 4.32 Bn | 1.46 Bn | 29.51% |
| 6 | Levi Strauss | 7.67 Bn | 4.32 Bn | 979.10 Mn | 14.72% |
| 7 | Gildan Activewear | 6.27 Bn | 5.26 Bn | 459.76 Mn | 5.97% |
| 8 | Birkenstock Holding | 6.13 Bn | 4.43 Bn | 493.89 Mn | 10.20% |
| 9 | Crocs | 5.68 Bn | 5.09 Bn | 700.71 Mn | 23.21% |
| 10 | Oxford Industries | 373.71 Mn | 339.22 Mn | 291.13 Mn | -0.16% |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | -0.16% |
| May 2, 2026 | -4.24% |
| Jan 31, 2026 | -3.03% |
| Nov 1, 2025 | -0.29% |
| Aug 2, 2025 | 6.98% |
| May 3, 2025 | 9.57% |
| Feb 1, 2025 | 11.81% |
| Nov 2, 2024 | 1.76% |
| Aug 3, 2024 | 4.05% |
| May 4, 2024 | 5.89% |
| Feb 3, 2024 | 9.11% |
| Oct 28, 2023 | 21.47% |
| Jul 29, 2023 | 22.93% |
| Apr 29, 2023 | 23.50% |
| Jan 28, 2023 | 24.45% |
| Oct 29, 2022 | 25.74% |
| Jul 30, 2022 | 29.33% |
| Apr 30, 2022 | 28.46% |
| Jan 29, 2022 | 23.02% |
| Oct 30, 2021 | 16.12% |
Oxford Industries 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=OXM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "OXM", "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=OXM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();