Oxford Industries (OXM) EBITDA Margin (2010 - 2026)
Oxford Industries (OXM) reported EBITDA Margin of 21.81% for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 11.39 percentage points from 10.42% a year earlier and up 11.91 percentage points from the prior quarter.
Oxford Industries (OXM) EBITDA Margin (2010 - 2026) Analysis & Trends
Over the twelve months ended Aug 1, 2026, Oxford Industries' EBITDA Margin came in at 4.37%, down 5.26 percentage points year-over-year; for FY2026 (ended Jan 31, 2026), it came in at 2.34%, down 9.98 percentage points from FY2025.
- EBITDA Margin has a five-year change of +10.73 percentage points (FY2021 to FY2026).
- By fiscal year, EBITDA Margin came in at 12.32% in FY2025 (+2.16 pp), 10.17% in FY2024 (-9.24 pp), 19.41% in FY2023 (+1.19 pp) and 18.21% in FY2022 (+26.60 pp).
- The fiscal Q2 2027 figure ranks as the highest quarterly EBITDA Margin since fiscal Q1 2024.
- Year over year, EBITDA Margin gained in two of the last eight quarters, with an average year-over-year change of -2.32 percentage points.
- The high point for year-over-year EBITDA Margin in five years was fiscal Q4 2025 (a gain of 24.57 percentage points); the low point was fiscal Q4 2024 (a drop of 30.42 percentage points).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at 9.90% (Q1 2027), 2.23% (Q4 2026) and -22.42% (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.14 Bn | 19.13 Bn | 5.39 Bn | 13.71% |
| 2 | Tapestry | 22.87 Bn | 18.83 Bn | 1.56 Bn | 26.69% |
| 3 | Ralph Lauren | 21.39 Bn | 13.49 Bn | 1.44 Bn | 20.48% |
| 4 | Deckers Outdoor | 11.06 Bn | 3.93 Bn | - | - |
| 5 | Lululemon Athletica | 10.32 Bn | 4.58 Bn | 1.46 Bn | 24.67% |
| 6 | Levi Strauss | 7.62 Bn | 4.28 Bn | 979.10 Mn | 11.49% |
| 7 | Gildan Activewear | 6.55 Bn | 5.54 Bn | 459.76 Mn | 15.43% |
| 8 | Birkenstock Holding | 6.07 Bn | 4.38 Bn | 493.89 Mn | 29.25% |
| 9 | Crocs | 5.90 Bn | 5.31 Bn | 700.71 Mn | 25.92% |
| 10 | Oxford Industries | 374.46 Mn | 339.97 Mn | 291.13 Mn | 21.81% |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 21.81% |
| May 2, 2026 | 9.90% |
| Jan 31, 2026 | 2.23% |
| Nov 1, 2025 | -22.42% |
| Aug 2, 2025 | 10.42% |
| May 3, 2025 | 13.53% |
| Feb 1, 2025 | 9.70% |
| Nov 2, 2024 | 3.56% |
| Aug 3, 2024 | 16.45% |
| May 4, 2024 | 18.07% |
| Feb 3, 2024 | -14.87% |
| Oct 28, 2023 | 10.46% |
| Jul 29, 2023 | 20.61% |
| Apr 29, 2023 | 23.60% |
| Jan 28, 2023 | 15.55% |
| Oct 29, 2022 | 13.36% |
| Jul 30, 2022 | 23.72% |
| Apr 30, 2022 | 24.50% |
| Jan 29, 2022 | 14.86% |
| Oct 30, 2021 | 16.43% |
Oxford Industries EBITDA Margin 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=ebitda-margin&ticker=OXM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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=ebitda-margin&ticker=OXM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();