Oxford Industries (OXM) Cost of Revenue (2010 - 2026)
Oxford Industries (OXM) posted Cost of Revenue of $103.25 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), down 33.6% from $155.52 million a year earlier and down 30.0% from the prior quarter.
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Analysis
Oxford Industries (OXM) Cost of Revenue (2010 - 2026) Analysis & Trends
For the trailing twelve months through Aug 1, 2026, Cost of Revenue at Oxford Industries was $534.77 million, down 5.1% year-over-year; for FY2026 (ended Jan 31, 2026), it was $580.1 million, up 3.2% from FY2025.
- Annual Cost of Revenue shows a five-year compound annual growth rate of 11.7% (FY2021 to FY2026).
- In prior fiscal years, Oxford Industries' Cost of Revenue was $562.03 million in FY2025 (-2.4%), $575.89 million in FY2024 (+10.2%), $522.67 million in FY2023 (+19.9%) and $435.86 million in FY2022 (+30.6%).
- The fiscal Q2 2027 figure stands as the lowest quarterly Cost of Revenue since fiscal Q3 2022.
- On a year-over-year basis, Cost of Revenue increased in five of the last eight quarters, with an average decline of 3.0%.
- The strongest year-over-year quarter for Cost of Revenue in the past five years was fiscal Q1 2023, with growth of 27.3%; the weakest was fiscal Q2 2027, with a decline of 33.6%.
- According to Business Quant data, Cost of Revenue for the three prior fiscal quarters was $147.52 million (Q1 2027), $161.93 million (Q4 2026) and $122.07 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 50.34 Bn | 16.54 Bn | 4.80 Bn | 6.42 Bn |
| 2 | Tapestry | 23.66 Bn | 19.62 Bn | 1.56 Bn | 313.00 Mn |
| 3 | Ralph Lauren | 21.85 Bn | 13.95 Bn | 1.44 Bn | 515.60 Mn |
| 4 | Deckers Outdoor | 11.26 Bn | 4.14 Bn | - | - |
| 5 | Lululemon Athletica | 10.07 Bn | 4.32 Bn | 1.46 Bn | 953.75 Mn |
| 6 | Levi Strauss | 7.67 Bn | 4.32 Bn | 979.10 Mn | 582.90 Mn |
| 7 | Gildan Activewear | 6.27 Bn | 5.26 Bn | 459.76 Mn | 1.12 Bn |
| 8 | Birkenstock Holding | 6.13 Bn | 4.43 Bn | 493.89 Mn | 342.46 Mn |
| 9 | Crocs | 5.68 Bn | 5.09 Bn | 700.71 Mn | 478.76 Mn |
| 10 | Oxford Industries | 373.71 Mn | 339.22 Mn | 291.13 Mn | 103.25 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 103.25 Mn |
| May 2, 2026 | 147.52 Mn |
| Jan 31, 2026 | 161.93 Mn |
| Nov 1, 2025 | 122.07 Mn |
| Aug 2, 2025 | 155.52 Mn |
| May 3, 2025 | 140.58 Mn |
| Feb 1, 2025 | 153.82 Mn |
| Nov 2, 2024 | 113.51 Mn |
| Aug 3, 2024 | 154.88 Mn |
| May 4, 2024 | 139.82 Mn |
| Feb 3, 2024 | 158.12 Mn |
| Oct 28, 2023 | 121.21 Mn |
| Jul 29, 2023 | 151.59 Mn |
| Apr 29, 2023 | 144.97 Mn |
| Jan 28, 2023 | 149.85 Mn |
| Oct 29, 2022 | 115.34 Mn |
| Jul 30, 2022 | 131.28 Mn |
| Apr 30, 2022 | 126.20 Mn |
| Jan 29, 2022 | 122.45 Mn |
| Oct 30, 2021 | 95.19 Mn |
API Access
Oxford Industries Cost of 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=cost-of-revenue&ticker=OXM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-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=cost-of-revenue&ticker=OXM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();