Oxford Industries (OXM) Accounts Payables (2010 - 2026)
Oxford Industries' Accounts Payables was $83.75 million in 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.
Oxford Industries (OXM) Accounts Payables (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Accounts Payables at Oxford Industries came in at $104.62 million, down 0.2% from FY2025.
- Accounts Payables shows a five-year compound annual growth rate of 8.0% (FY2021 to FY2026).
- In earlier fiscal years, Accounts 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 Accounts Payables has moved between $64.71 million (fiscal Q3 2022) and $104.83 million (fiscal Q4 2025) over five years.
- Compared with a year earlier, Accounts Payables was higher in six of the last eight quarters, with growth averaging 11.5%.
- The best year-over-year quarter for Accounts Payables over five years was fiscal Q2 2026 (growth of 29.0%); the worst was fiscal Q2 2027 (a decline of 12.4%).
- Per Business Quant data, OXM's Accounts Payables in the three fiscal quarters before Q2 2027 was $102.67 million (Q1 2027), $104.62 million (Q4 2026) and $80.69 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Accounts Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn | 3.60 Bn |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn | 582.30 Mn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn | 556.70 Mn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - | 384.53 Mn |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn | 346.72 Mn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn | 598.50 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 1.03 Bn |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn | 204.02 Mn |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn | 262.51 Mn |
| 10 | Oxford Industries | 365.77 Mn | 331.28 Mn | 291.13 Mn | 83.75 Mn |
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 |
Oxford Industries Accounts 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=accounts-payables&ticker=OXM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accounts-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=accounts-payables&ticker=OXM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();