Oxford Industries (OXM) Short-Term Debt repayments (2010 - 2026)
Oxford Industries' Short-Term Debt repayments was $155.73 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 12.8% from $138.08 million a year earlier and up 34.3% from the prior quarter.
Oxford Industries (OXM) Short-Term Debt repayments (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Oxford Industries' Short-Term Debt repayments was $490.39 million through Aug 1, 2026, up 11.3% year-over-year; for FY2026 (ended Jan 31, 2026), it was $450.89 million, up 12.3% from FY2025.
- Short-Term Debt repayments shows a five-year compound annual growth rate of 9.9% (FY2021 to FY2026).
- In earlier fiscal years, Short-Term Debt repayments was $401.58 million in FY2025 (-15.9%), $477.35 million in FY2024 (+227.2%) and $145.89 million in FY2023.
- The fiscal Q2 2027 figure marks the highest quarterly Short-Term Debt repayments since fiscal Q2 2024.
- Compared with a year earlier, Short-Term Debt repayments was higher in six of the last eight quarters, with growth averaging 37.6%.
- The best year-over-year quarter for Short-Term Debt repayments over five years was fiscal Q2 2026 (growth of 142.8%); the worst was fiscal Q2 2025 (a decline of 71.0%).
- Per Business Quant data, OXM's Short-Term Debt repayments in the three fiscal quarters before Q2 2027 was $115.98 million (Q1 2027), $125.38 million (Q4 2026) and $93.3 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ST Debt Repayment (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 | - |
| 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 | - |
| 9 | Birkenstock Holding | 6.95 Bn | 5.27 Bn | 493.89 Mn | - |
| 10 | Oxford Industries | 438.01 Mn | 403.52 Mn | 291.13 Mn | 155.73 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 155.73 Mn |
| May 2, 2026 | 115.98 Mn |
| Jan 31, 2026 | 125.38 Mn |
| Nov 1, 2025 | 93.30 Mn |
| Aug 2, 2025 | 138.08 Mn |
| May 3, 2025 | 94.13 Mn |
| Feb 1, 2025 | 137.01 Mn |
| Nov 2, 2024 | 71.47 Mn |
| Aug 3, 2024 | 56.88 Mn |
| May 4, 2024 | 136.22 Mn |
| Feb 3, 2024 | 108.19 Mn |
| Oct 28, 2023 | 34.93 Mn |
| Jul 29, 2023 | 196.47 Mn |
| Apr 29, 2023 | 137.76 Mn |
| Jan 28, 2023 | 100.63 Mn |
| Jan 30, 2021 | 58.07 Mn |
| Oct 31, 2020 | 52.58 Mn |
| Aug 1, 2020 | 147.55 Mn |
| May 2, 2020 | 22.77 Mn |
| Aug 3, 2019 | 44.92 Mn |
Oxford Industries Short-Term Debt repayments 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=short-term-debt-repayments&ticker=OXM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-debt-repayments", "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=short-term-debt-repayments&ticker=OXM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();