Oxford Industries (OXM) Revenue (2010 - 2026)
Oxford Industries (OXM) recorded Revenue of $394.38 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), down 2.2% from $403.14 million a year earlier but up 0.8% from the prior quarter.
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Analysis
Oxford Industries (OXM) Revenue (2010 - 2026) Analysis & Trends
On a TTM basis, Oxford Industries' Revenue came in at $1.47 billion as of Aug 1, 2026, down 1.8% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $1.48 billion, down 2.6% from FY2025.
- Annual Revenue has a five-year compound annual growth rate of 14.6% (FY2021 to FY2026).
- Across earlier fiscal years, Revenue came in at $1.52 billion in FY2025 (-3.5%), $1.57 billion in FY2024 (+11.3%), $1.41 billion in FY2023 (+23.6%) and $1.14 billion in FY2022 (+52.5%).
- Quarterly Revenue has ranged from $247.73 million in fiscal Q3 2022 to $420.32 million in fiscal Q2 2024 over the past five years.
- On a year-over-year basis, Revenue has declined for ten consecutive quarters, with an average decline of 2.7% over the last eight quarters.
- Peak year-over-year performance for Revenue in the last five years was growth of 41.5% in fiscal Q3 2022, against a decline of 5.7% in fiscal Q3 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $391.4 million (Q1 2027), $374.49 million (Q4 2026) and $307.34 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.14 Bn | 19.13 Bn | 5.39 Bn | 10.97 Bn |
| 2 | Tapestry | 22.87 Bn | 18.83 Bn | 1.56 Bn | 1.88 Bn |
| 3 | Ralph Lauren | 21.39 Bn | 13.49 Bn | 1.44 Bn | 1.96 Bn |
| 4 | Deckers Outdoor | 11.06 Bn | 3.93 Bn | - | - |
| 5 | Lululemon Athletica | 10.32 Bn | 4.58 Bn | 1.46 Bn | 2.42 Bn |
| 6 | Levi Strauss | 7.62 Bn | 4.28 Bn | 979.10 Mn | 1.56 Bn |
| 7 | Gildan Activewear | 6.55 Bn | 5.54 Bn | 459.76 Mn | 1.58 Bn |
| 8 | Birkenstock Holding | 6.07 Bn | 4.38 Bn | 493.89 Mn | 836.35 Mn |
| 9 | Crocs | 5.90 Bn | 5.31 Bn | 700.71 Mn | 1.18 Bn |
| 10 | Oxford Industries | 374.46 Mn | 339.97 Mn | 291.13 Mn | 394.38 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 394.38 Mn |
| May 2, 2026 | 391.40 Mn |
| Jan 31, 2026 | 374.49 Mn |
| Nov 1, 2025 | 307.34 Mn |
| Aug 2, 2025 | 403.14 Mn |
| May 3, 2025 | 392.86 Mn |
| Feb 1, 2025 | 390.51 Mn |
| Nov 2, 2024 | 308.03 Mn |
| Aug 3, 2024 | 419.89 Mn |
| May 4, 2024 | 398.18 Mn |
| Feb 3, 2024 | 404.43 Mn |
| Oct 28, 2023 | 326.63 Mn |
| Jul 29, 2023 | 420.32 Mn |
| Apr 29, 2023 | 420.10 Mn |
| Jan 28, 2023 | 382.48 Mn |
| Oct 29, 2022 | 313.03 Mn |
| Jul 30, 2022 | 363.43 Mn |
| Apr 30, 2022 | 352.58 Mn |
| Jan 29, 2022 | 299.92 Mn |
| Oct 30, 2021 | 247.73 Mn |
API Access
Oxford Industries Revenue 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=revenue&ticker=OXM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=OXM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();