Oxford Industries (OXM) Net Long-Term Debt Issued (Repaid) (2012)
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.
Oxford Industries (OXM) Net Long-Term Debt Issued (Repaid) (2012) 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 Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net LT Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 57.28 Bn | 23.48 Bn | 4.80 Bn | - |
| 2 | Tapestry | 27.14 Bn | 23.10 Bn | 1.56 Bn | - |
| 3 | Ralph Lauren | 22.63 Bn | 14.55 Bn | 1.63 Bn | -5.00 Mn |
| 4 | Lululemon Athletica | 12.51 Bn | 6.76 Bn | 1.46 Bn | - |
| 5 | Deckers Outdoor | 11.73 Bn | 4.92 Bn | 895.11 Mn | - |
| 6 | Levi Strauss | 8.84 Bn | 5.42 Bn | 1.07 Bn | - |
| 7 | V F | 8.00 Bn | 4.60 Bn | 1.49 Bn | - |
| 8 | Crocs | 7.20 Bn | 6.60 Bn | 689.73 Mn | -21.00 Mn |
| 9 | Birkenstock Holding | 6.95 Bn | 5.27 Bn | 493.89 Mn | -534.46 Mn |
| 10 | Oxford Industries | 438.01 Mn | 403.52 Mn | 291.13 Mn | - |
Oxford Industries Net Long-Term Debt Issued (Repaid) 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_KEY
import 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();