Oxford Industries (OXM) Price to Sales (2011 - 2026)
Oxford Industries' (OXM) Price to Sales came in at 0.39 for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 5.2% from 0.37 a year earlier but down 10.0% from the prior quarter.
Oxford Industries (OXM) Price to Sales (2011 - 2026) Analysis & Trends
For FY2026 (ended Jan 31, 2026), Oxford Industries' Price to Sales stood at 0.37, down 57.7% from FY2025.
- Annual Price to Sales has declined for three consecutive fiscal years.
- In prior fiscal years, Oxford Industries' Price to Sales was 0.88 in FY2025 (-9.6%), 0.98 in FY2024 (-26.3%), 1.33 in FY2023 (+10.3%) and 1.20 in FY2022 (-18.6%).
- Quarterly Price to Sales has run from a low of 0.37 in fiscal Q3 2026 to a high of 1.47 in fiscal Q3 2022 over five years.
- On a year-over-year basis, Price to Sales increased in 1 of the last eight quarters, with an average decline of 32.2%.
- The strongest year-over-year quarter for Price to Sales in the past five years was fiscal Q3 2022, with growth of 74.8%; the weakest was fiscal Q2 2026, with a decline of 62.5%.
- According to Business Quant data, Price to Sales for the three prior fiscal quarters was 0.43 (Q1 2027), 0.37 (Q4 2026) and 0.37 (Q3 2026).
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
| Date | Value |
|---|---|
| Aug 1, 2026 | 0.39 |
| May 2, 2026 | 0.43 |
| Jan 31, 2026 | 0.37 |
| Nov 1, 2025 | 0.37 |
| Aug 2, 2025 | 0.37 |
| May 3, 2025 | 0.49 |
| Feb 1, 2025 | 0.88 |
| Nov 2, 2024 | 0.75 |
| Aug 3, 2024 | 0.98 |
| May 4, 2024 | 1.10 |
| Feb 3, 2024 | 0.98 |
| Oct 28, 2023 | 0.87 |
| Jul 29, 2023 | 1.09 |
| Apr 29, 2023 | 1.10 |
| Jan 28, 2023 | 1.33 |
| Oct 29, 2022 | 1.19 |
| Jul 30, 2022 | 1.20 |
| Apr 30, 2022 | 1.16 |
| Jan 29, 2022 | 1.20 |
| Oct 30, 2021 | 1.47 |
Oxford Industries Price to Sales 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-sales&ticker=OXM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-sales", "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-sales&ticker=OXM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();