Oxford Industries (OXM) Other Accumulated Expenses (2013 - 2026)
Oxford Industries (OXM) reported Other Accumulated Expenses of $68.92 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 15.3% from $59.75 million a year earlier and up 3.8% from the prior quarter.
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Analysis
Oxford Industries (OXM) Other Accumulated Expenses (2013 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Oxford Industries posted Other Accumulated Expenses of $67.37 million, up 7.9% from FY2025.
- Other Accumulated Expenses has a five-year compound annual growth rate of 8.3% (FY2021 to FY2026).
- By fiscal year, Other Accumulated Expenses came in at $62.43 million in FY2025 (-6.6%), $66.86 million in FY2024 (+1.1%), $66.14 million in FY2023 (+22.9%) and $53.8 million in FY2022 (+18.7%).
- The fiscal Q2 2027 figure ranks as the highest quarterly Other Accumulated Expenses since fiscal Q1 2026.
- Year over year, Other Accumulated Expenses gained in three of the last eight quarters, with growth averaging 0.4%.
- The high point for year-over-year Other Accumulated Expenses in five years was fiscal Q1 2023 (growth of 25.7%); the low point was fiscal Q1 2025 (a decline of 17.0%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $66.37 million (Q1 2027), $67.37 million (Q4 2026) and $53.79 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 50.34 Bn | 16.54 Bn | 4.80 Bn |
| 2 | Tapestry | 23.66 Bn | 19.62 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 21.85 Bn | 13.95 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 11.26 Bn | 4.14 Bn | - |
| 5 | Lululemon Athletica | 10.07 Bn | 4.32 Bn | 1.46 Bn |
| 6 | Levi Strauss | 7.67 Bn | 4.32 Bn | 979.10 Mn |
| 7 | Gildan Activewear | 6.27 Bn | 5.26 Bn | 459.76 Mn |
| 8 | Birkenstock Holding | 6.13 Bn | 4.43 Bn | 493.89 Mn |
| 9 | Crocs | 5.68 Bn | 5.09 Bn | 700.71 Mn |
| 10 | Oxford Industries | 373.71 Mn | 339.22 Mn | 291.13 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 68.92 Mn |
| May 2, 2026 | 66.37 Mn |
| Jan 31, 2026 | 67.37 Mn |
| Nov 1, 2025 | 53.79 Mn |
| Aug 2, 2025 | 59.75 Mn |
| May 3, 2025 | 69.01 Mn |
| Feb 1, 2025 | 62.43 Mn |
| Nov 2, 2024 | 55.22 Mn |
| Aug 3, 2024 | 62.16 Mn |
| May 4, 2024 | 67.12 Mn |
| Feb 3, 2024 | 66.86 Mn |
| Oct 28, 2023 | 58.50 Mn |
| Jul 29, 2023 | 68.19 Mn |
| Apr 29, 2023 | 80.85 Mn |
| Jan 28, 2023 | 66.14 Mn |
| Oct 29, 2022 | 58.96 Mn |
| Jul 30, 2022 | 63.77 Mn |
| Apr 30, 2022 | 76.66 Mn |
| Jan 29, 2022 | 53.80 Mn |
| Oct 30, 2021 | 51.43 Mn |
API Access
Oxford Industries Other Accumulated Expenses 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=other-accumulated-expenses&ticker=OXM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=OXM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();