Oxford Industries (OXM) Market Capitalization (2010 - 2026)
Oxford Industries (OXM) posted Market Capitalization of $567.98 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 3.3% from $549.64 million a year earlier but down 10.6% from the prior quarter.
Oxford Industries (OXM) Market Capitalization (2010 - 2026) Analysis & Trends
For FY2026 (ended Jan 31, 2026), Oxford Industries' Market Capitalization came in at $552.75 million, down 58.8% from FY2025.
- Annual Market Capitalization has declined for three consecutive fiscal years, with a five-year compound annual growth rate of -13.0% (FY2021 to FY2026).
- In prior fiscal years, Oxford Industries' Market Capitalization was $1.34 billion in FY2025 (-12.8%), $1.54 billion in FY2024 (-18.0%), $1.88 billion in FY2023 (+36.3%) and $1.38 billion in FY2022 (+24.1%).
- Quarterly Market Capitalization has run from a low of $548.23 million in fiscal Q3 2026 to a high of $1.88 billion in fiscal Q4 2023 over five years.
- On a year-over-year basis, Market Capitalization increased in 1 of the last eight quarters, with an average decline of 33.8%.
- The strongest year-over-year quarter for Market Capitalization in the past five years was fiscal Q3 2022, with growth of 125.3%; the weakest was fiscal Q2 2026, with a decline of 63.8%.
- According to Business Quant data, Market Capitalization for the three prior fiscal quarters was $635.01 million (Q1 2027), $552.75 million (Q4 2026) and $548.23 million (Q3 2026).
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
| Date | Value |
|---|---|
| Aug 1, 2026 | 567.98 Mn |
| May 2, 2026 | 635.01 Mn |
| Jan 31, 2026 | 552.75 Mn |
| Nov 1, 2025 | 548.23 Mn |
| Aug 2, 2025 | 549.64 Mn |
| May 3, 2025 | 746.47 Mn |
| Feb 1, 2025 | 1.34 Bn |
| Nov 2, 2024 | 1.14 Bn |
| Aug 3, 2024 | 1.52 Bn |
| May 4, 2024 | 1.71 Bn |
| Feb 3, 2024 | 1.54 Bn |
| Oct 28, 2023 | 1.34 Bn |
| Jul 29, 2023 | 1.67 Bn |
| Apr 29, 2023 | 1.62 Bn |
| Jan 28, 2023 | 1.88 Bn |
| Oct 29, 2022 | 1.58 Bn |
| Jul 30, 2022 | 1.52 Bn |
| Apr 30, 2022 | 1.43 Bn |
| Jan 29, 2022 | 1.38 Bn |
| Oct 30, 2021 | 1.57 Bn |
Oxford Industries Market Capitalization 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=market-capitalization&ticker=OXM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "market-capitalization", "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=market-capitalization&ticker=OXM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();