Oxford Industries (OXM) Prepaid Assets (2010 - 2026)
Oxford Industries (OXM) recorded Prepaid Assets of $50.73 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), down 3.8% from $52.74 million a year earlier and down 3.0% from the prior quarter.
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Analysis
Oxford Industries (OXM) Prepaid Assets (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Oxford Industries reported Prepaid Assets of $46.08 million, up 20.4% from FY2025.
- Annual Prepaid Assets has a five-year compound annual growth rate of 17.7% (FY2021 to FY2026).
- Across earlier fiscal years, Prepaid Assets came in at $38.27 million in FY2025 (-11.1%), $43.04 million in FY2024 (+13.0%), $38.07 million in FY2023 (+76.6%) and $21.56 million in FY2022 (+5.9%).
- Quarterly Prepaid Assets has ranged from $21.56 million in fiscal Q4 2022 to $52.74 million in fiscal Q2 2026 over the past five years.
- On a year-over-year basis, Prepaid Assets rose in five of the last eight quarters, with growth averaging 7.4%.
- Peak year-over-year performance for Prepaid Assets in the last five years was growth of 76.6% in fiscal Q4 2023, against a decline of 11.1% in fiscal Q4 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $52.31 million (Q1 2027), $46.08 million (Q4 2026) and $49.59 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn |
| 10 | Oxford Industries | 365.77 Mn | 331.28 Mn | 291.13 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 50.73 Mn |
| May 2, 2026 | 52.31 Mn |
| Jan 31, 2026 | 46.08 Mn |
| Nov 1, 2025 | 49.59 Mn |
| Aug 2, 2025 | 52.74 Mn |
| May 3, 2025 | 41.25 Mn |
| Feb 1, 2025 | 38.27 Mn |
| Nov 2, 2024 | 50.45 Mn |
| Aug 3, 2024 | 46.21 Mn |
| May 4, 2024 | 38.98 Mn |
| Feb 3, 2024 | 43.04 Mn |
| Oct 28, 2023 | 46.42 Mn |
| Jul 29, 2023 | 37.74 Mn |
| Apr 29, 2023 | 37.46 Mn |
| Jan 28, 2023 | 38.07 Mn |
| Oct 29, 2022 | 30.91 Mn |
| Jul 30, 2022 | 31.31 Mn |
| Apr 30, 2022 | 27.01 Mn |
| Jan 29, 2022 | 21.56 Mn |
| Oct 30, 2021 | 23.61 Mn |
API Access
Oxford Industries Prepaid Assets 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=prepaid-assets&ticker=OXM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "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=prepaid-assets&ticker=OXM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();