Oxford Industries (OXM) EV to EBITDA (2011 - 2026)
Oxford Industries' EV to EBITDA was 8.71 in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 131.0% from 3.77 a year earlier but down 71.9% from the prior quarter.
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Analysis
Oxford Industries (OXM) EV to EBITDA (2011 - 2026) Analysis & Trends
On a trailing twelve-month basis, Oxford Industries' EV to EBITDA was 8.31 through Aug 1, 2026, up 131.0% year-over-year; for FY2026 (ended Jan 31, 2026), it was 15.73, up 120.7% from FY2025.
- In earlier fiscal years, EV to EBITDA was 7.13 in FY2025 (-25.6%), 9.58 in FY2024 (+40.6%), 6.82 in FY2023 (+21.5%) and 5.61 in FY2022.
- Quarterly EV to EBITDA has moved between 3.77 (fiscal Q2 2026) and 30.99 (fiscal Q1 2027) over five years.
- Compared with a year earlier, EV to EBITDA has increased for three straight quarters, with growth averaging 104.6% over the last eight quarters.
- The best year-over-year quarter for EV to EBITDA over five years was fiscal Q1 2027 (growth of 618.1%); the worst was fiscal Q1 2023 (a decline of 80.3%).
- Per Business Quant data, OXM's EV to EBITDA in the three fiscal quarters before Q2 2027 was 30.99 (Q1 2027), 15.73 (Q4 2026) and 8.42 (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 53.14 Bn | 19.13 Bn | 5.39 Bn |
| 2 | Tapestry | 22.87 Bn | 18.83 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 21.39 Bn | 13.49 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 11.06 Bn | 3.93 Bn | - |
| 5 | Lululemon Athletica | 10.32 Bn | 4.58 Bn | 1.46 Bn |
| 6 | Levi Strauss | 7.62 Bn | 4.28 Bn | 979.10 Mn |
| 7 | Gildan Activewear | 6.55 Bn | 5.54 Bn | 459.76 Mn |
| 8 | Birkenstock Holding | 6.07 Bn | 4.38 Bn | 493.89 Mn |
| 9 | Crocs | 5.90 Bn | 5.31 Bn | 700.71 Mn |
| 10 | Oxford Industries | 374.46 Mn | 339.97 Mn | 291.13 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 8.71 |
| May 2, 2026 | 30.99 |
| Jan 31, 2026 | 15.73 |
| Nov 1, 2025 | 8.42 |
| Aug 2, 2025 | 3.77 |
| May 3, 2025 | 4.32 |
| Feb 1, 2025 | 7.02 |
| Nov 2, 2024 | 12.38 |
| Aug 3, 2024 | 13.04 |
| May 4, 2024 | 12.81 |
| Feb 3, 2024 | 9.58 |
| Oct 28, 2023 | 4.78 |
| Jul 29, 2023 | 5.80 |
| Apr 29, 2023 | 5.63 |
| Jan 28, 2023 | 6.82 |
| Oct 29, 2022 | 6.06 |
| Jul 30, 2022 | 5.17 |
| Apr 30, 2022 | 5.05 |
| Jan 29, 2022 | 5.61 |
| Oct 30, 2021 | 7.98 |
API Access
Oxford Industries EV to EBITDA 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=ev-to-ebitda&ticker=OXM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=OXM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();