Oxford Industries (OXM) Common Equity (2010 - 2026)
Oxford Industries' Common Equity came in at $564.48 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), down 5.5% from $597.11 million a year earlier but up 7.8% from the prior quarter.
Oxford Industries (OXM) Common Equity (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Oxford Industries' Common Equity was $514.84 million, down 17.3% from FY2025.
- Common Equity carries a five-year compound annual growth rate of 4.9% (FY2021 to FY2026).
- Going back by fiscal year, Common Equity was $622.56 million in FY2025 (+11.0%), $560.91 million in FY2024 (+0.8%), $556.27 million in FY2023 (+9.6%) and $507.66 million in FY2022 (+25.1%).
- The five-year range for quarterly Common Equity is $495.47 million (fiscal Q3 2022) to $627.11 million (fiscal Q3 2024).
- Year-over-year, Common Equity has declined for six consecutive quarters, with an average decline of 5.4% over the last eight quarters.
- The fastest year-over-year change in Common Equity over five years came in fiscal Q4 2022 (growth of 25.1%), and the weakest in fiscal Q4 2026 (a decline of 17.3%).
- Business Quant data shows OXM's Common Equity at $523.39 million (Q1 2027), $514.84 million (Q4 2026) and $528.02 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Common Equity (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.14 Bn | 19.13 Bn | 5.39 Bn | 14.87 Bn |
| 2 | Tapestry | 22.87 Bn | 18.83 Bn | 1.56 Bn | 692.10 Mn |
| 3 | Ralph Lauren | 21.39 Bn | 13.49 Bn | 1.44 Bn | 2.72 Bn |
| 4 | Deckers Outdoor | 11.06 Bn | 3.93 Bn | - | 2.50 Bn |
| 5 | Lululemon Athletica | 10.32 Bn | 4.58 Bn | 1.46 Bn | 4.79 Bn |
| 6 | Levi Strauss | 7.62 Bn | 4.28 Bn | 979.10 Mn | 2.27 Bn |
| 7 | Gildan Activewear | 6.55 Bn | 5.54 Bn | 459.76 Mn | 2.31 Bn |
| 8 | Birkenstock Holding | 6.07 Bn | 4.38 Bn | 493.89 Mn | 3.26 Bn |
| 9 | Crocs | 5.90 Bn | 5.31 Bn | 700.71 Mn | 1.38 Bn |
| 10 | Oxford Industries | 374.46 Mn | 339.97 Mn | 291.13 Mn | 564.48 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 564.48 Mn |
| May 2, 2026 | 523.39 Mn |
| Jan 31, 2026 | 514.84 Mn |
| Nov 1, 2025 | 528.02 Mn |
| Aug 2, 2025 | 597.11 Mn |
| May 3, 2025 | 592.42 Mn |
| Feb 1, 2025 | 622.56 Mn |
| Nov 2, 2024 | 612.17 Mn |
| Aug 3, 2024 | 621.56 Mn |
| May 4, 2024 | 592.88 Mn |
| Feb 3, 2024 | 560.91 Mn |
| Oct 28, 2023 | 627.11 Mn |
| Jul 29, 2023 | 624.63 Mn |
| Apr 29, 2023 | 607.43 Mn |
| Jan 28, 2023 | 556.27 Mn |
| Oct 29, 2022 | 533.04 Mn |
| Jul 30, 2022 | 534.02 Mn |
| Apr 30, 2022 | 513.42 Mn |
| Jan 29, 2022 | 507.66 Mn |
| Oct 30, 2021 | 495.47 Mn |
Oxford Industries Common Equity 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=common-equity&ticker=OXM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "common-equity", "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=common-equity&ticker=OXM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();