Oxford Industries (OXM) Total Current Liabilities (2010 - 2026)
Oxford Industries (OXM) posted Total Current Liabilities of $239.73 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), down 3.4% from $248.24 million a year earlier and down 7.2% from the prior quarter.
Oxford Industries (OXM) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Oxford Industries' Total Current Liabilities came in at $265.3 million, up 6.9% from FY2025.
- Annual Total Current Liabilities shows a five-year compound annual growth rate of 6.2% (FY2021 to FY2026).
- In prior fiscal years, Oxford Industries' Total Current Liabilities was $248.28 million in FY2025 (+3.2%), $240.64 million in FY2024 (-10.8%), $269.64 million in FY2023 (+19.2%) and $226.17 million in FY2022 (+15.2%).
- Quarterly Total Current Liabilities has run from a low of $207.17 million in fiscal Q3 2022 to a high of $269.64 million in fiscal Q4 2023 over five years.
- On a year-over-year basis, Total Current Liabilities increased in seven of the last eight quarters, with growth averaging 4.0%.
- The strongest year-over-year quarter for Total Current Liabilities in the past five years was fiscal Q4 2023, with growth of 19.2%; the weakest was fiscal Q4 2024, with a decline of 10.8%.
- According to Business Quant data, Total Current Liabilities for the three prior fiscal quarters was $258.39 million (Q1 2027), $265.3 million (Q4 2026) and $217.46 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.14 Bn | 19.13 Bn | 5.39 Bn | 12.55 Bn |
| 2 | Tapestry | 22.87 Bn | 18.83 Bn | 1.56 Bn | 1.65 Bn |
| 3 | Ralph Lauren | 21.39 Bn | 13.49 Bn | 1.44 Bn | 1.88 Bn |
| 4 | Deckers Outdoor | 11.06 Bn | 3.93 Bn | - | 804.07 Mn |
| 5 | Lululemon Athletica | 10.32 Bn | 4.58 Bn | 1.46 Bn | 1.80 Bn |
| 6 | Levi Strauss | 7.62 Bn | 4.28 Bn | 979.10 Mn | 1.85 Bn |
| 7 | Gildan Activewear | 6.55 Bn | 5.54 Bn | 459.76 Mn | 2.35 Bn |
| 8 | Birkenstock Holding | 6.07 Bn | 4.38 Bn | 493.89 Mn | 37.55 Mn |
| 9 | Crocs | 5.90 Bn | 5.31 Bn | 700.71 Mn | 728.03 Mn |
| 10 | Oxford Industries | 374.46 Mn | 339.97 Mn | 291.13 Mn | 239.73 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 239.73 Mn |
| May 2, 2026 | 258.39 Mn |
| Jan 31, 2026 | 265.30 Mn |
| Nov 1, 2025 | 217.46 Mn |
| Aug 2, 2025 | 248.24 Mn |
| May 3, 2025 | 240.76 Mn |
| Feb 1, 2025 | 248.28 Mn |
| Nov 2, 2024 | 216.59 Mn |
| Aug 3, 2024 | 226.92 Mn |
| May 4, 2024 | 225.59 Mn |
| Feb 3, 2024 | 240.64 Mn |
| Oct 28, 2023 | 212.51 Mn |
| Jul 29, 2023 | 232.56 Mn |
| Apr 29, 2023 | 242.05 Mn |
| Jan 28, 2023 | 269.64 Mn |
| Oct 29, 2022 | 230.40 Mn |
| Jul 30, 2022 | 222.64 Mn |
| Apr 30, 2022 | 226.42 Mn |
| Jan 29, 2022 | 226.17 Mn |
| Oct 30, 2021 | 207.17 Mn |
Oxford Industries Total Current 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-current-liabilities&ticker=OXM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=OXM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();