Oxford Industries (OXM) Consolidated Net Income (2010 - 2026)
Oxford Industries (OXM) recorded Consolidated Net Income of $48.97 million in 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) Consolidated Net Income (2010 - 2026) Analysis & Trends
On a TTM basis, Oxford Industries' Consolidated Net Income came in at -$6.81 million as of Aug 1, 2026; for FY2026 (ended Jan 31, 2026), it came in at -$27.89 million.
- Across earlier fiscal years, Consolidated Net Income came in at $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 is the highest quarterly Consolidated Net Income since fiscal Q2 2024.
- On a year-over-year basis, Consolidated Net Income rose in 1 of the last four quarters, with growth averaging 15.0%.
- Peak year-over-year performance for Consolidated Net Income in the last five years was growth of 193.4% in fiscal Q2 2027, against a decline of 58.9% in fiscal Q2 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $14.99 million (Q1 2027), -$7.08 million (Q4 2026) and -$63.68 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Consol Net Inc. (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 50.34 Bn | 16.54 Bn | 4.80 Bn | 712.00 Mn |
| 2 | Tapestry | 23.66 Bn | 19.62 Bn | 1.56 Bn | 347.80 Mn |
| 3 | Ralph Lauren | 21.85 Bn | 13.95 Bn | 1.44 Bn | 262.20 Mn |
| 4 | Deckers Outdoor | 11.26 Bn | 4.14 Bn | - | - |
| 5 | Lululemon Athletica | 10.07 Bn | 4.32 Bn | 1.46 Bn | 329.22 Mn |
| 6 | Levi Strauss | 7.67 Bn | 4.32 Bn | 979.10 Mn | 87.30 Mn |
| 7 | Gildan Activewear | 6.27 Bn | 5.26 Bn | 459.76 Mn | -49.95 Mn |
| 8 | Birkenstock Holding | 6.13 Bn | 4.43 Bn | 493.89 Mn | 127.38 Mn |
| 9 | Crocs | 5.68 Bn | 5.09 Bn | 700.71 Mn | 204.89 Mn |
| 10 | Oxford Industries | 373.71 Mn | 339.22 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 Consolidated Net Income 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=consolidated-net-income&ticker=OXM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "consolidated-net-income", "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=consolidated-net-income&ticker=OXM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();