Oxford Industries (OXM) Income from Continuing Operations (2010 - 2026)
Oxford Industries' Income from Continuing Operations came in at $48.97 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 193.4% from $16.69 million a year earlier and up 226.7% from the prior quarter.
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Analysis
Oxford Industries (OXM) Income from Continuing Operations (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Aug 1, 2026, Oxford Industries reported Income from Continuing Operations of -$6.81 million; for FY2026 (ended Jan 31, 2026), it came in at -$27.89 million.
- Going back by fiscal year, Income from Continuing Operations was $92.97 million in FY2025 (+53.2%), $60.7 million in FY2024 (-63.4%), $165.74 million in FY2023 (+26.2%) and $131.32 million in FY2022.
- The fiscal Q2 2027 figure represents the highest quarterly Income from Continuing Operations since fiscal Q2 2024.
- Year-over-year, Income from Continuing Operations increased in 1 of the last four quarters, with growth averaging 15.0%.
- The fastest year-over-year change in Income from Continuing Operations over five years came in fiscal Q2 2027 (growth of 193.4%), and the weakest in fiscal Q2 2026 (a decline of 58.9%).
- Business Quant data shows OXM's Income from Continuing Operations at $14.99 million (Q1 2027), -$7.08 million (Q4 2026) and -$63.68 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Income (Continuing) (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn | 1.07 Bn |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn | 347.80 Mn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn | 262.20 Mn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - | - |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn | 329.22 Mn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn | 94.80 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 90.40 Mn |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn | 244.68 Mn |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn | 204.89 Mn |
| 10 | Oxford Industries | 365.77 Mn | 331.28 Mn | 291.13 Mn | 48.97 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 48.97 Mn |
| May 2, 2026 | 14.99 Mn |
| Jan 31, 2026 | -7.08 Mn |
| Nov 1, 2025 | -63.68 Mn |
| Aug 2, 2025 | 16.69 Mn |
| May 3, 2025 | 26.18 Mn |
| Feb 1, 2025 | 17.90 Mn |
| Nov 2, 2024 | -3.94 Mn |
| Aug 3, 2024 | 40.64 Mn |
| May 4, 2024 | 38.37 Mn |
| Feb 3, 2024 | -60.07 Mn |
| Oct 28, 2023 | 10.78 Mn |
| Jul 29, 2023 | 51.45 Mn |
| Apr 29, 2023 | 58.54 Mn |
| Jan 28, 2023 | 32.05 Mn |
| Oct 29, 2022 | 19.67 Mn |
| Jul 30, 2022 | 56.61 Mn |
| Apr 30, 2022 | 57.41 Mn |
| Jan 29, 2022 | 25.41 Mn |
| Oct 30, 2021 | 25.99 Mn |
API Access
Oxford Industries Income from Continuing Operations 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=income-from-continuing-operations&ticker=OXM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "income-from-continuing-operations", "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=income-from-continuing-operations&ticker=OXM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();