Oxford Industries (OXM) Price to Earnings (2011 - 2025)
Oxford Industries' (OXM) Price to Earnings stood at 9.67 in fiscal Q2 2026 (quarter ended Aug 2, 2025), down 81.1% from 51.08 a year earlier but up 4.7% from the prior quarter.
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Analysis
Oxford Industries (OXM) Price to Earnings (2011 - 2025) Analysis & Trends
For FY2025 (ended Feb 1, 2025), Oxford Industries' Price to Earnings came in at 14.43, down 43.1% from FY2024.
- Across earlier fiscal years, Price to Earnings came in at 25.35 in FY2024 (+124.0%), 11.32 in FY2023 (+8.0%) and 10.48 in FY2022.
- Quarterly Price to Earnings has ranged from 8.78 in fiscal Q3 2024 to 76.25 in fiscal Q3 2025 over the past five years.
- On a year-over-year basis, Price to Earnings has declined for three consecutive quarters, with growth averaging 175.6% over the last eight quarters.
- Peak year-over-year performance for Price to Earnings in the last five years was growth of 768.1% in fiscal Q3 2025, against a decline of 81.1% in fiscal Q2 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 9.24 (Q1 2026), 14.43 (Q4 2025) and 76.25 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 50.34 Bn | 16.54 Bn | 4.80 Bn |
| 2 | Tapestry | 23.66 Bn | 19.62 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 21.85 Bn | 13.95 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 11.26 Bn | 4.14 Bn | - |
| 5 | Lululemon Athletica | 10.07 Bn | 4.32 Bn | 1.46 Bn |
| 6 | Levi Strauss | 7.67 Bn | 4.32 Bn | 979.10 Mn |
| 7 | Gildan Activewear | 6.27 Bn | 5.26 Bn | 459.76 Mn |
| 8 | Birkenstock Holding | 6.13 Bn | 4.43 Bn | 493.89 Mn |
| 9 | Crocs | 5.68 Bn | 5.09 Bn | 700.71 Mn |
| 10 | Oxford Industries | 373.71 Mn | 339.22 Mn | 291.13 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2025 | 9.67 |
| May 3, 2025 | 9.24 |
| Feb 1, 2025 | 14.43 |
| Nov 2, 2024 | 76.25 |
| Aug 3, 2024 | 51.08 |
| May 4, 2024 | 42.08 |
| Feb 3, 2024 | 25.35 |
| Oct 28, 2023 | 8.78 |
| Jul 29, 2023 | 10.35 |
| Apr 29, 2023 | 9.72 |
| Jan 28, 2023 | 11.32 |
| Oct 29, 2022 | 9.96 |
| Jul 30, 2022 | 9.18 |
| Apr 30, 2022 | 8.91 |
| Jan 29, 2022 | 10.48 |
| Oct 30, 2021 | 16.72 |
| Jul 31, 2021 | 25.72 |
| Feb 1, 2020 | 17.23 |
| Nov 2, 2019 | 17.15 |
| Aug 3, 2019 | 16.96 |
API Access
Oxford Industries Price to Earnings 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=price-to-earnings&ticker=OXM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=OXM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();