Oxford Industries (OXM) Return on Equity [ROE] (2011 - 2026)
Oxford Industries (OXM) posted Return on Equity [ROE] of -1.25% for fiscal Q2 2027 (quarter ended Aug 1, 2026), down 10.81 percentage points from 9.56% a year earlier but up 6.28 percentage points from the prior quarter.
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Analysis
Oxford Industries (OXM) Return on Equity [ROE] (2011 - 2026) Analysis & Trends
For FY2026 (ended Jan 31, 2026), Oxford Industries' Return on Equity [ROE] came in at -4.90%, down 20.62 percentage points from FY2025.
- Annual Return on Equity [ROE] shows a five-year change of +15.58 percentage points (FY2021 to FY2026).
- In prior fiscal years, Oxford Industries' Return on Equity [ROE] was 15.71% in FY2025 (+4.84 pp), 10.87% in FY2024 (-20.29 pp), 31.16% in FY2023 (+2.40 pp) and 28.75% in FY2022 (+49.24 pp).
- Quarterly Return on Equity [ROE] has run from a low of -7.53% in fiscal Q1 2027 to a high of 31.58% in fiscal Q2 2023 over five years.
- On a year-over-year basis, Return on Equity [ROE] has declined in each of the last four quarters, with an average year-over-year change of -7.65 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Equity [ROE] in the past five years was fiscal Q4 2022, with a gain of 49.39 percentage points; the weakest was fiscal Q3 2025, with a drop of 21.98 percentage points.
- According to Business Quant data, Return on Equity [ROE] for the three prior fiscal quarters was -7.53% (Q1 2027), -5.35% (Q4 2026) and -0.52% (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROE (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn | 21.47% |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn | 222.29% |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn | 35.34% |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - | - |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn | 29.49% |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn | 28.54% |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 3.42% |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn | 11.79% |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn | 42.21% |
| 10 | Oxford Industries | 365.77 Mn | 331.28 Mn | 291.13 Mn | -1.25% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | -1.25% |
| May 2, 2026 | -7.53% |
| Jan 31, 2026 | -5.35% |
| Nov 1, 2025 | -0.52% |
| Aug 2, 2025 | 9.56% |
| May 3, 2025 | 13.30% |
| Feb 1, 2025 | 15.06% |
| Nov 2, 2024 | 2.43% |
| Aug 3, 2024 | 4.90% |
| May 4, 2024 | 7.03% |
| Feb 3, 2024 | 10.22% |
| Oct 28, 2023 | 24.42% |
| Jul 29, 2023 | 26.25% |
| Apr 29, 2023 | 28.68% |
| Jan 28, 2023 | 30.43% |
| Oct 29, 2022 | 29.82% |
| Jul 30, 2022 | 31.58% |
| Apr 30, 2022 | 31.39% |
| Jan 29, 2022 | 26.18% |
| Oct 30, 2021 | 19.34% |
API Access
Oxford Industries Return on Equity [ROE] 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-equity-%5Broe%5D&ticker=OXM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-equity-[roe]", "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-equity-%5Broe%5D&ticker=OXM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();