Oxford Industries (OXM) Total Liabilities (2010 - 2026)
Oxford Industries' Total Liabilities came in at $734.78 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 1.0% from $727.28 million a year earlier but down 9.8% from the prior quarter.
Powered by 
Analysis
Oxford Industries (OXM) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Oxford Industries' Total Liabilities was $794.12 million, up 19.0% from FY2025.
- Total Liabilities carries a five-year compound annual growth rate of 11.5% (FY2021 to FY2026).
- Going back by fiscal year, Total Liabilities was $667.25 million in FY2025 (+24.3%), $536.93 million in FY2024 (-15.1%), $632.4 million in FY2023 (+40.5%) and $449.98 million in FY2022 (-2.2%).
- The five-year range for quarterly Total Liabilities is $423.19 million (fiscal Q2 2023) to $814.46 million (fiscal Q1 2027).
- Year-over-year, Total Liabilities has increased for nine consecutive quarters, with growth averaging 19.5% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in fiscal Q4 2023 (growth of 40.5%), and the weakest in fiscal Q4 2024 (a decline of 15.1%).
- Business Quant data shows OXM's Total Liabilities at $814.46 million (Q1 2027), $794.12 million (Q4 2026) and $756.08 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.14 Bn | 19.13 Bn | 5.39 Bn | 23.55 Bn |
| 2 | Tapestry | 22.87 Bn | 18.83 Bn | 1.56 Bn | 6.00 Bn |
| 3 | Ralph Lauren | 21.39 Bn | 13.49 Bn | 1.44 Bn | 4.94 Bn |
| 4 | Deckers Outdoor | 11.06 Bn | 3.93 Bn | - | 1.19 Bn |
| 5 | Lululemon Athletica | 10.32 Bn | 4.58 Bn | 1.46 Bn | 3.69 Bn |
| 6 | Levi Strauss | 7.62 Bn | 4.28 Bn | 979.10 Mn | 4.36 Bn |
| 7 | Gildan Activewear | 6.55 Bn | 5.54 Bn | 459.76 Mn | 7.74 Bn |
| 8 | Birkenstock Holding | 6.07 Bn | 4.38 Bn | 493.89 Mn | 3.33 Bn |
| 9 | Crocs | 5.90 Bn | 5.31 Bn | 700.71 Mn | 2.97 Bn |
| 10 | Oxford Industries | 374.46 Mn | 339.97 Mn | 291.13 Mn | 734.78 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 734.78 Mn |
| May 2, 2026 | 814.46 Mn |
| Jan 31, 2026 | 794.12 Mn |
| Nov 1, 2025 | 756.08 Mn |
| Aug 2, 2025 | 727.28 Mn |
| May 3, 2025 | 747.28 Mn |
| Feb 1, 2025 | 667.25 Mn |
| Nov 2, 2024 | 610.97 Mn |
| Aug 3, 2024 | 550.97 Mn |
| May 4, 2024 | 564.10 Mn |
| Feb 3, 2024 | 536.93 Mn |
| Oct 28, 2023 | 535.04 Mn |
| Jul 29, 2023 | 525.23 Mn |
| Apr 29, 2023 | 586.81 Mn |
| Jan 28, 2023 | 632.40 Mn |
| Oct 29, 2022 | 607.28 Mn |
| Jul 30, 2022 | 423.19 Mn |
| Apr 30, 2022 | 433.60 Mn |
| Jan 29, 2022 | 449.98 Mn |
| Oct 30, 2021 | 437.33 Mn |
API Access
Oxford Industries Total Liabilities 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=total-liabilities&ticker=OXM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=OXM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();