Oxford Industries (OXM) EBT (2010 - 2026)
Oxford Industries (OXM) reported EBT of $67.33 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 182.1% from $23.86 million a year earlier and up 235.3% from the prior quarter.
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Analysis
Oxford Industries (OXM) EBT (2010 - 2026) Analysis & Trends
Over the twelve months ended Aug 1, 2026, Oxford Industries' EBT came in at -$9.09 million; for FY2026 (ended Jan 31, 2026), it came in at -$38.15 million.
- By fiscal year, EBT came in at $116.57 million in FY2025 (+55.5%), $74.95 million in FY2024 (-65.3%), $215.73 million in FY2023 (+31.1%) and $164.56 million in FY2022.
- The fiscal Q2 2027 figure ranks as the highest quarterly EBT since fiscal Q1 2024.
- Year over year, EBT gained in 1 of the last four quarters, with growth averaging 13.2%.
- The high point for year-over-year EBT in five years was fiscal Q2 2027 (growth of 182.1%); the low point was fiscal Q2 2026 (a decline of 54.5%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $20.08 million (Q1 2027), -$9.76 million (Q4 2026) and -$86.74 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBT (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.14 Bn | 19.13 Bn | 5.39 Bn | 1.33 Bn |
| 2 | Tapestry | 22.87 Bn | 18.83 Bn | 1.56 Bn | 428.80 Mn |
| 3 | Ralph Lauren | 21.39 Bn | 13.49 Bn | 1.44 Bn | 342.20 Mn |
| 4 | Deckers Outdoor | 11.06 Bn | 3.93 Bn | - | - |
| 5 | Lululemon Athletica | 10.32 Bn | 4.58 Bn | 1.46 Bn | 467.35 Mn |
| 6 | Levi Strauss | 7.62 Bn | 4.28 Bn | 979.10 Mn | 122.20 Mn |
| 7 | Gildan Activewear | 6.55 Bn | 5.54 Bn | 459.76 Mn | 106.61 Mn |
| 8 | Birkenstock Holding | 6.07 Bn | 4.38 Bn | 493.89 Mn | 186.03 Mn |
| 9 | Crocs | 5.90 Bn | 5.31 Bn | 700.71 Mn | 263.92 Mn |
| 10 | Oxford Industries | 374.46 Mn | 339.97 Mn | 291.13 Mn | 67.33 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 67.33 Mn |
| May 2, 2026 | 20.08 Mn |
| Jan 31, 2026 | -9.76 Mn |
| Nov 1, 2025 | -86.74 Mn |
| Aug 2, 2025 | 23.86 Mn |
| May 3, 2025 | 34.48 Mn |
| Feb 1, 2025 | 19.42 Mn |
| Nov 2, 2024 | -6.85 Mn |
| Aug 3, 2024 | 52.42 Mn |
| May 4, 2024 | 51.58 Mn |
| Feb 3, 2024 | -82.63 Mn |
| Oct 28, 2023 | 13.24 Mn |
| Jul 29, 2023 | 66.38 Mn |
| Apr 29, 2023 | 77.96 Mn |
| Jan 28, 2023 | 38.28 Mn |
| Oct 29, 2022 | 26.62 Mn |
| Jul 30, 2022 | 75.10 Mn |
| Apr 30, 2022 | 75.74 Mn |
| Jan 29, 2022 | 31.75 Mn |
| Oct 30, 2021 | 30.39 Mn |
API Access
Oxford Industries EBT 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=ebt&ticker=OXM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt", "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=ebt&ticker=OXM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();