Oxford Industries (OXM) Return on Assets [ROA] (2011 - 2026)
Oxford Industries (OXM) reported Return on Assets [ROA] of -0.52% for fiscal Q2 2027 (quarter ended Aug 1, 2026), down 4.78 percentage points from 4.27% a year earlier but up 2.44 percentage points from the prior quarter.
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Analysis
Oxford Industries (OXM) Return on Assets [ROA] (2011 - 2026) Analysis & Trends
For FY2026 (ended Jan 31, 2026), Oxford Industries posted Return on Assets [ROA] of -2.15%, down 9.93 percentage points from FY2025.
- Return on Assets [ROA] has a five-year change of +7.93 percentage points (FY2021 to FY2026).
- By fiscal year, Return on Assets [ROA] came in at 7.79% in FY2025 (+2.48 pp), 5.31% in FY2024 (-10.13 pp), 15.44% in FY2023 (+1.04 pp) and 14.40% in FY2022 (+24.48 pp).
- Five-year quarterly Return on Assets [ROA] spans a low of -2.95% in fiscal Q1 2027 and a high of 17.37% in fiscal Q2 2023.
- Year over year, Return on Assets [ROA] has now declined in each of the last four quarters, with an average year-over-year change of -3.82 percentage points over the last eight quarters.
- The high point for year-over-year Return on Assets [ROA] in five years was fiscal Q4 2022 (a gain of 24.72 percentage points); the low point was fiscal Q3 2025 (a drop of 11.97 percentage points).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at -2.95% (Q1 2027), -2.15% (Q4 2026) and -0.22% (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 50.34 Bn | 16.54 Bn | 4.80 Bn | 8.12% |
| 2 | Tapestry | 23.66 Bn | 19.62 Bn | 1.56 Bn | 23.22% |
| 3 | Ralph Lauren | 21.85 Bn | 13.95 Bn | 1.44 Bn | 12.77% |
| 4 | Deckers Outdoor | 11.26 Bn | 4.14 Bn | - | - |
| 5 | Lululemon Athletica | 10.07 Bn | 4.32 Bn | 1.46 Bn | 16.67% |
| 6 | Levi Strauss | 7.67 Bn | 4.32 Bn | 979.10 Mn | 9.68% |
| 7 | Gildan Activewear | 6.27 Bn | 5.26 Bn | 459.76 Mn | 0.77% |
| 8 | Birkenstock Holding | 6.13 Bn | 4.43 Bn | 493.89 Mn | 6.20% |
| 9 | Crocs | 5.68 Bn | 5.09 Bn | 700.71 Mn | 13.64% |
| 10 | Oxford Industries | 373.71 Mn | 339.22 Mn | 291.13 Mn | -0.52% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | -0.52% |
| May 2, 2026 | -2.95% |
| Jan 31, 2026 | -2.15% |
| Nov 1, 2025 | -0.22% |
| Aug 2, 2025 | 4.27% |
| May 3, 2025 | 6.14% |
| Feb 1, 2025 | 7.40% |
| Nov 2, 2024 | 1.25% |
| Aug 3, 2024 | 2.55% |
| May 4, 2024 | 3.60% |
| Feb 3, 2024 | 5.37% |
| Oct 28, 2023 | 13.22% |
| Jul 29, 2023 | 13.80% |
| Apr 29, 2023 | 14.01% |
| Jan 28, 2023 | 14.23% |
| Oct 29, 2022 | 15.17% |
| Jul 30, 2022 | 17.37% |
| Apr 30, 2022 | 16.83% |
| Jan 29, 2022 | 13.89% |
| Oct 30, 2021 | 10.05% |
API Access
Oxford Industries Return on Assets [ROA] 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-assets-%5Broa%5D&ticker=OXM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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-assets-%5Broa%5D&ticker=OXM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();