Oxford Industries (OXM) Dividend Yield (2011 - 2026)
Oxford Industries' Dividend Yield came in at 7.47% for fiscal Q2 2027 (quarter ended Aug 1, 2026), down 0.27 percentage points from 7.74% a year earlier but up 0.80 percentage points from the prior quarter.
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Analysis
Oxford Industries (OXM) Dividend Yield (2011 - 2026) Analysis & Trends
For FY2026 (ended Jan 31, 2026), Oxford Industries' Dividend Yield was 7.62%, up 4.40 percentage points from FY2025.
- Dividend Yield has increased in each of the last three fiscal years, with a five-year change of +6.09 percentage points (FY2021 to FY2026).
- Going back by fiscal year, Dividend Yield was 3.22% in FY2025 (+0.49 pp), 2.73% in FY2024 (+0.85 pp), 1.88% in FY2023 (-0.15 pp) and 2.03% in FY2022 (+0.50 pp).
- The five-year range for quarterly Dividend Yield is 1.58% (fiscal Q3 2022) to 7.74% (fiscal Q2 2026).
- Year-over-year, Dividend Yield increased in seven of the last eight quarters, with an average year-over-year change of +2.30 percentage points.
- The fastest year-over-year change in Dividend Yield over five years came in fiscal Q2 2026 (a gain of 4.90 percentage points), and the weakest in fiscal Q3 2022 (a drop of 1.16 percentage points).
- Business Quant data shows OXM's Dividend Yield at 6.67% (Q1 2027), 7.62% (Q4 2026) and 7.72% (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 7.47% |
| May 2, 2026 | 6.67% |
| Jan 31, 2026 | 7.62% |
| Nov 1, 2025 | 7.72% |
| Aug 2, 2025 | 7.74% |
| May 3, 2025 | 5.77% |
| Feb 1, 2025 | 3.22% |
| Nov 2, 2024 | 3.76% |
| Aug 3, 2024 | 2.84% |
| May 4, 2024 | 2.47% |
| Feb 3, 2024 | 2.73% |
| Oct 28, 2023 | 3.00% |
| Jul 29, 2023 | 2.29% |
| Apr 29, 2023 | 2.26% |
| Jan 28, 2023 | 1.88% |
| Oct 29, 2022 | 2.15% |
| Jul 30, 2022 | 2.14% |
| Apr 30, 2022 | 2.16% |
| Jan 29, 2022 | 2.03% |
| Oct 30, 2021 | 1.58% |
API Access
Oxford Industries Dividend Yield 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=dividend-yield&ticker=OXM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "dividend-yield", "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=dividend-yield&ticker=OXM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();