Oxford Industries (OXM) Other Non-Current Liabilities (2010 - 2026)
Oxford Industries' Other Non-Current Liabilities was $30.66 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 5.1% from $29.19 million a year earlier and up 2.5% from the prior quarter.
Oxford Industries (OXM) Other Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Other Non-Current Liabilities at Oxford Industries came in at $29.88 million, up 4.9% from FY2025.
- Other Non-Current Liabilities has now increased for three consecutive fiscal years, with a five-year compound annual growth rate of 4.8% (FY2021 to FY2026).
- In earlier fiscal years, Other Non-Current Liabilities was $28.5 million in FY2025 (+22.4%), $23.28 million in FY2024 (+16.1%), $20.06 million in FY2023 (-6.3%) and $21.41 million in FY2022 (-9.6%).
- The fiscal Q2 2027 figure marks the highest quarterly Other Non-Current Liabilities since fiscal Q4 2019.
- Compared with a year earlier, Other Non-Current Liabilities has increased for 13 straight quarters, with growth averaging 13.9% over the last eight quarters.
- The best year-over-year quarter for Other Non-Current Liabilities over five years was fiscal Q3 2025 (growth of 26.6%); the worst was fiscal Q3 2023 (a decline of 17.1%).
- Per Business Quant data, OXM's Other Non-Current Liabilities in the three fiscal quarters before Q2 2027 was $29.92 million (Q1 2027), $29.88 million (Q4 2026) and $29.49 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn |
| 10 | Oxford Industries | 365.77 Mn | 331.28 Mn | 291.13 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 30.66 Mn |
| May 2, 2026 | 29.92 Mn |
| Jan 31, 2026 | 29.88 Mn |
| Nov 1, 2025 | 29.49 Mn |
| Aug 2, 2025 | 29.19 Mn |
| May 3, 2025 | 27.88 Mn |
| Feb 1, 2025 | 28.50 Mn |
| Nov 2, 2024 | 26.17 Mn |
| Aug 3, 2024 | 25.34 Mn |
| May 4, 2024 | 23.81 Mn |
| Feb 3, 2024 | 23.28 Mn |
| Oct 28, 2023 | 20.68 Mn |
| Jul 29, 2023 | 20.40 Mn |
| Apr 29, 2023 | 19.56 Mn |
| Jan 28, 2023 | 20.06 Mn |
| Oct 29, 2022 | 18.06 Mn |
| Jul 30, 2022 | 19.20 Mn |
| Apr 30, 2022 | 19.60 Mn |
| Jan 29, 2022 | 21.41 Mn |
| Oct 30, 2021 | 21.78 Mn |
Oxford Industries Other Non-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=other-non-current-liabilities&ticker=OXM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-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=other-non-current-liabilities&ticker=OXM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();