Oxford Industries (OXM) Payables (2010 - 2026)
Oxford Industries (OXM) posted Payables of $83.75 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), down 12.4% from $95.63 million a year earlier and down 18.4% from the prior quarter.
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Analysis
Oxford Industries (OXM) Payables (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Oxford Industries' Payables came in at $104.62 million, down 0.2% from FY2025.
- Annual Payables shows a five-year compound annual growth rate of 8.0% (FY2021 to FY2026).
- In prior fiscal years, Oxford Industries' Payables was $104.83 million in FY2025 (+22.5%), $85.55 million in FY2024 (-9.6%), $94.61 million in FY2023 (+17.2%) and $80.75 million in FY2022 (+13.5%).
- Quarterly Payables has run from a low of $64.71 million in fiscal Q3 2022 to a high of $104.83 million in fiscal Q4 2025 over five years.
- On a year-over-year basis, Payables increased in six of the last eight quarters, with growth averaging 11.5%.
- The strongest year-over-year quarter for Payables in the past five years was fiscal Q2 2026, with growth of 29.0%; the weakest was fiscal Q2 2027, with a decline of 12.4%.
- According to Business Quant data, Payables for the three prior fiscal quarters was $102.67 million (Q1 2027), $104.62 million (Q4 2026) and $80.69 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.14 Bn | 19.13 Bn | 5.39 Bn | 3.60 Bn |
| 2 | Tapestry | 22.87 Bn | 18.83 Bn | 1.56 Bn | 582.30 Mn |
| 3 | Ralph Lauren | 21.39 Bn | 13.49 Bn | 1.44 Bn | 556.70 Mn |
| 4 | Deckers Outdoor | 11.06 Bn | 3.93 Bn | - | 384.53 Mn |
| 5 | Lululemon Athletica | 10.32 Bn | 4.58 Bn | 1.46 Bn | 346.72 Mn |
| 6 | Levi Strauss | 7.62 Bn | 4.28 Bn | 979.10 Mn | 598.50 Mn |
| 7 | Gildan Activewear | 6.55 Bn | 5.54 Bn | 459.76 Mn | 1.03 Bn |
| 8 | Birkenstock Holding | 6.07 Bn | 4.38 Bn | 493.89 Mn | 204.02 Mn |
| 9 | Crocs | 5.90 Bn | 5.31 Bn | 700.71 Mn | 262.51 Mn |
| 10 | Oxford Industries | 374.46 Mn | 339.97 Mn | 291.13 Mn | 83.75 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 83.75 Mn |
| May 2, 2026 | 102.67 Mn |
| Jan 31, 2026 | 104.62 Mn |
| Nov 1, 2025 | 80.69 Mn |
| Aug 2, 2025 | 95.63 Mn |
| May 3, 2025 | 86.21 Mn |
| Feb 1, 2025 | 104.83 Mn |
| Nov 2, 2024 | 77.60 Mn |
| Aug 3, 2024 | 74.13 Mn |
| May 4, 2024 | 73.76 Mn |
| Feb 3, 2024 | 85.55 Mn |
| Oct 28, 2023 | 68.57 Mn |
| Jul 29, 2023 | 76.22 Mn |
| Apr 29, 2023 | 69.61 Mn |
| Jan 28, 2023 | 94.61 Mn |
| Oct 29, 2022 | 72.93 Mn |
| Jul 30, 2022 | 76.97 Mn |
| Apr 30, 2022 | 68.64 Mn |
| Jan 29, 2022 | 80.75 Mn |
| Oct 30, 2021 | 64.71 Mn |
API Access
Oxford Industries Payables 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=payables&ticker=OXM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "payables", "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=payables&ticker=OXM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();