Oxford Industries (OXM) Short-Term Debt issuances (2010 - 2026)
Oxford Industries (OXM) recorded Short-Term Debt issuances of $86.26 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), down 15.2% from $101.75 million a year earlier and down 39.4% from the prior quarter.
Oxford Industries (OXM) Short-Term Debt issuances (2010 - 2026) Analysis & Trends
On a TTM basis, Oxford Industries' Short-Term Debt issuances came in at $482.26 million as of Aug 1, 2026, down 7.6% year-over-year; for FY2026 (ended Jan 31, 2026), it was $536.23 million, up 32.9% from FY2025.
- Annual Short-Term Debt issuances has increased for three straight fiscal years, with a five-year compound annual growth rate of 13.8% (FY2021 to FY2026).
- Across earlier fiscal years, Short-Term Debt issuances came in at $403.38 million in FY2025 (+4.1%), $387.64 million in FY2024 (+46.3%) and $264.91 million in FY2023.
- The fiscal Q2 2027 figure is the lowest quarterly Short-Term Debt issuances since fiscal Q2 2025.
- On a year-over-year basis, Short-Term Debt issuances has declined for three consecutive quarters, with growth averaging 47.9% over the last eight quarters.
- Peak year-over-year performance for Short-Term Debt issuances in the last five years was growth of 166.0% in fiscal Q2 2026, against a decline of 74.6% in fiscal Q2 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $142.25 million (Q1 2027), $101.39 million (Q4 2026) and $152.36 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ST Debt Issuance (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 | 86.26 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 86.26 Mn |
| May 2, 2026 | 142.25 Mn |
| Jan 31, 2026 | 101.39 Mn |
| Nov 1, 2025 | 152.36 Mn |
| Aug 2, 2025 | 101.75 Mn |
| May 3, 2025 | 180.73 Mn |
| Feb 1, 2025 | 110.30 Mn |
| Nov 2, 2024 | 129.29 Mn |
| Aug 3, 2024 | 38.25 Mn |
| May 4, 2024 | 125.54 Mn |
| Feb 3, 2024 | 71.28 Mn |
| Oct 28, 2023 | 52.68 Mn |
| Jul 29, 2023 | 150.64 Mn |
| Apr 29, 2023 | 113.05 Mn |
| Jan 28, 2023 | 89.19 Mn |
| Jan 30, 2021 | 23.27 Mn |
| Oct 31, 2020 | 22.39 Mn |
| Aug 1, 2020 | 4.93 Mn |
| May 2, 2020 | 230.39 Mn |
| Aug 3, 2019 | 11.74 Mn |
Oxford Industries Short-Term Debt issuances 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-issuances&ticker=OXM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-debt-issuances", "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-issuances&ticker=OXM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();