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.
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 Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 57.28 Bn | 23.48 Bn | 4.80 Bn |
| 2 | Tapestry | 27.14 Bn | 23.10 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 22.63 Bn | 14.55 Bn | 1.63 Bn |
| 4 | Lululemon Athletica | 12.51 Bn | 6.76 Bn | 1.46 Bn |
| 5 | Deckers Outdoor | 11.73 Bn | 4.92 Bn | 895.11 Mn |
| 6 | Levi Strauss | 8.84 Bn | 5.42 Bn | 1.07 Bn |
| 7 | V F | 8.00 Bn | 4.60 Bn | 1.49 Bn |
| 8 | Crocs | 7.20 Bn | 6.60 Bn | 689.73 Mn |
| 9 | Birkenstock Holding | 6.95 Bn | 5.27 Bn | 493.89 Mn |
| 10 | Oxford Industries | 438.01 Mn | 403.52 Mn | 291.13 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 8.65 |
| May 2, 2026 | 30.41 |
| Jan 31, 2026 | 15.56 |
| Nov 1, 2025 | 8.37 |
| Aug 2, 2025 | 3.76 |
| May 3, 2025 | 4.31 |
| Feb 1, 2025 | 7.00 |
| Nov 2, 2024 | 12.33 |
| Aug 3, 2024 | 12.99 |
| May 4, 2024 | 12.77 |
| Feb 3, 2024 | 9.55 |
| Oct 28, 2023 | 4.77 |
| Jul 29, 2023 | 5.79 |
| Apr 29, 2023 | 5.61 |
| Jan 28, 2023 | 6.81 |
| Oct 29, 2022 | 6.05 |
| Jul 30, 2022 | 5.16 |
| Apr 30, 2022 | 5.05 |
| Jan 29, 2022 | 5.60 |
| Oct 30, 2021 | 7.96 |
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_KEY
import 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();