Oxford Industries (OXM) Non-Current Debt (2010 - 2026)
Oxford Industries' Non-Current Debt was $73.25 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), down 10.0% from $81.38 million a year earlier and down 48.7% from the prior quarter.
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Analysis
Oxford Industries (OXM) Non-Current Debt (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Non-Current Debt at Oxford Industries came in at $116.44 million, up 274.4% from FY2025.
- Non-Current Debt shows a three-year compound annual growth rate of -0.7% (FY2023 to FY2026).
- In earlier fiscal years, Non-Current Debt was $31.11 million in FY2025 (+6.1%), $29.3 million in FY2024 (-75.4%) and $119.01 million in FY2023.
- The fiscal Q2 2027 figure marks the lowest quarterly Non-Current Debt since fiscal Q4 2025.
- Compared with a year earlier, Non-Current Debt was higher in five of the last seven quarters, with growth averaging 136.3%.
- The best year-over-year quarter for Non-Current Debt over five years was fiscal Q1 2026 (growth of 531.9%); the worst was fiscal Q1 2025 (a decline of 80.2%).
- Per Business Quant data, OXM's Non-Current Debt in the three fiscal quarters before Q2 2027 was $142.72 million (Q1 2027), $116.44 million (Q4 2026) and $140.44 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.14 Bn | 19.13 Bn | 5.39 Bn | 5.94 Bn |
| 2 | Tapestry | 22.87 Bn | 18.83 Bn | 1.56 Bn | - |
| 3 | Ralph Lauren | 21.39 Bn | 13.49 Bn | 1.44 Bn | 1.24 Bn |
| 4 | Deckers Outdoor | 11.06 Bn | 3.93 Bn | - | - |
| 5 | Lululemon Athletica | 10.32 Bn | 4.58 Bn | 1.46 Bn | - |
| 6 | Levi Strauss | 7.62 Bn | 4.28 Bn | 979.10 Mn | 1.04 Bn |
| 7 | Gildan Activewear | 6.55 Bn | 5.54 Bn | 459.76 Mn | 3.59 Bn |
| 8 | Birkenstock Holding | 6.07 Bn | 4.38 Bn | 493.89 Mn | 1.95 Bn |
| 9 | Crocs | 5.90 Bn | 5.31 Bn | 700.71 Mn | 1.31 Bn |
| 10 | Oxford Industries | 374.46 Mn | 339.97 Mn | 291.13 Mn | 73.25 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 73.25 Mn |
| May 2, 2026 | 142.72 Mn |
| Jan 31, 2026 | 116.44 Mn |
| Nov 1, 2025 | 140.44 Mn |
| Aug 2, 2025 | 81.38 Mn |
| May 3, 2025 | 117.71 Mn |
| Feb 1, 2025 | 31.11 Mn |
| Nov 2, 2024 | 57.82 Mn |
| May 4, 2024 | 18.63 Mn |
| Feb 3, 2024 | 29.30 Mn |
| Oct 28, 2023 | 66.22 Mn |
| Jul 29, 2023 | 48.47 Mn |
| Apr 29, 2023 | 94.31 Mn |
| Jan 28, 2023 | 119.01 Mn |
| Oct 29, 2022 | 130.45 Mn |
| Oct 31, 2020 | 34.80 Mn |
| Aug 1, 2020 | 65.00 Mn |
| May 2, 2020 | 207.62 Mn |
| May 4, 2019 | 33.18 Mn |
| Feb 2, 2019 | 12.99 Mn |
API Access
Oxford Industries Non-Current Debt 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=non-current-debt&ticker=OXM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=OXM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();