Oxford Industries (OXM) Shares Outstanding (Diluted) (2010 - 2026)
Oxford Industries (OXM) recorded Shares Outstanding (Diluted) of 15.08 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 0.9% from 14.94 million a year earlier and up 0.5% from the prior quarter.
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Analysis
Oxford Industries (OXM) Shares Outstanding (Diluted) (2010 - 2026) Analysis & Trends
For FY2026 (ended Jan 31, 2026), Oxford Industries reported Shares Outstanding (Diluted) of 14.96 million, down 5.5% from FY2025.
- Annual Shares Outstanding (Diluted) has declined for four straight fiscal years, with a five-year compound annual growth rate of -2.0% (FY2021 to FY2026).
- Across earlier fiscal years, Shares Outstanding (Diluted) came in at 15.83 million in FY2025 (-0.5%), 15.91 million in FY2024 (-2.2%), 16.26 million in FY2023 (-3.6%) and 16.87 million in FY2022 (+1.8%).
- The fiscal Q2 2027 figure is the highest quarterly Shares Outstanding (Diluted) since fiscal Q1 2026.
- On a year-over-year basis, Shares Outstanding (Diluted) rose in 1 of the last eight quarters, with an average decline of 2.7%.
- Peak year-over-year performance for Shares Outstanding (Diluted) in the last five years was growth of 1.8% in fiscal Q3 2022, against a decline of 5.6% in fiscal Q2 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 15.01 million (Q1 2027), 14.96 million (Q4 2026) and 14.87 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn | 1.48 Bn |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn | 210.20 Mn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn | 61.30 Mn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - | 144.29 Mn |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn | 112.92 Mn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn | 389.63 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 160.20 Mn |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn | 186.51 Mn |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn | 49.63 Mn |
| 10 | Oxford Industries | 365.77 Mn | 331.28 Mn | 291.13 Mn | 15.08 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 15.08 Mn |
| May 2, 2026 | 15.01 Mn |
| Jan 31, 2026 | 14.96 Mn |
| Nov 1, 2025 | 14.87 Mn |
| Aug 2, 2025 | 14.94 Mn |
| May 3, 2025 | 15.40 Mn |
| Feb 1, 2025 | 15.83 Mn |
| Nov 2, 2024 | 15.70 Mn |
| Aug 3, 2024 | 15.83 Mn |
| May 4, 2024 | 15.84 Mn |
| Feb 3, 2024 | 15.91 Mn |
| Oct 28, 2023 | 15.79 Mn |
| Jul 29, 2023 | 15.98 Mn |
| Apr 29, 2023 | 16.07 Mn |
| Jan 28, 2023 | 16.26 Mn |
| Oct 29, 2022 | 16.14 Mn |
| Jul 30, 2022 | 16.24 Mn |
| Apr 30, 2022 | 16.62 Mn |
| Jan 29, 2022 | 16.87 Mn |
| Oct 30, 2021 | 16.87 Mn |
API Access
Oxford Industries Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=OXM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=OXM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();