Oxford Industries (OXM) Gross Profit (2010 - 2026)
Oxford Industries' Gross Profit came in at $291.13 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 17.6% from $247.63 million a year earlier and up 19.4% from the prior quarter.
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Analysis
Oxford Industries (OXM) Gross Profit (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Aug 1, 2026, Oxford Industries reported Gross Profit of $932.84 million, up 0.2% year-over-year; for FY2026 (ended Jan 31, 2026), it was $897.74 million, down 6.0% from FY2025.
- Gross Profit carries a five-year compound annual growth rate of 16.7% (FY2021 to FY2026).
- Going back by fiscal year, Gross Profit was $954.57 million in FY2025 (-4.1%), $995.59 million in FY2024 (+12.0%), $888.86 million in FY2023 (+25.9%) and $706.22 million in FY2022 (+70.1%).
- The fiscal Q2 2027 figure represents the highest quarterly Gross Profit in data going back to fiscal Q2 2011.
- Year-over-year, Gross Profit increased in 1 of the last eight quarters, with an average decline of 2.4%.
- The fastest year-over-year change in Gross Profit over five years came in fiscal Q3 2022 (growth of 58.4%), and the weakest in fiscal Q4 2026 (a decline of 10.2%).
- Business Quant data shows OXM's Gross Profit at $243.88 million (Q1 2027), $212.56 million (Q4 2026) and $185.27 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn |
| 10 | Oxford Industries | 365.77 Mn | 331.28 Mn | 291.13 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 291.13 Mn |
| May 2, 2026 | 243.88 Mn |
| Jan 31, 2026 | 212.56 Mn |
| Nov 1, 2025 | 185.27 Mn |
| Aug 2, 2025 | 247.63 Mn |
| May 3, 2025 | 252.29 Mn |
| Feb 1, 2025 | 236.69 Mn |
| Nov 2, 2024 | 194.51 Mn |
| Aug 3, 2024 | 265.01 Mn |
| May 4, 2024 | 258.36 Mn |
| Feb 3, 2024 | 246.31 Mn |
| Oct 28, 2023 | 205.42 Mn |
| Jul 29, 2023 | 268.73 Mn |
| Apr 29, 2023 | 275.13 Mn |
| Jan 28, 2023 | 232.64 Mn |
| Oct 29, 2022 | 197.69 Mn |
| Jul 30, 2022 | 232.15 Mn |
| Apr 30, 2022 | 226.38 Mn |
| Jan 29, 2022 | 177.47 Mn |
| Oct 30, 2021 | 152.54 Mn |
API Access
Oxford Industries Gross Profit 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=gross-profit&ticker=OXM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-profit", "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=gross-profit&ticker=OXM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();