Oxford Industries (OXM) Current Assets (2010 - 2026)
Oxford Industries' Current Assets came in at $281.61 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), down 4.2% from $294.05 million a year earlier and down 7.0% from the prior quarter.
Oxford Industries (OXM) Current Assets (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Oxford Industries' Current Assets was $292.45 million, down 0.1% from FY2025.
- Current Assets has declined in each of the last four fiscal years, though with a five-year compound annual growth rate of 2.5% (FY2021 to FY2026).
- Going back by fiscal year, Current Assets was $292.78 million in FY2025 (-0.1%), $293.12 million in FY2024 (-11.3%), $330.46 million in FY2023 (-17.5%) and $400.34 million in FY2022 (+55.0%).
- The fiscal Q2 2027 figure represents the lowest quarterly Current Assets since fiscal Q4 2021.
- Year-over-year, Current Assets has declined for four consecutive quarters, with an average decline of 0.1% over the last eight quarters.
- The fastest year-over-year change in Current Assets over five years came in fiscal Q4 2022 (growth of 55.0%), and the weakest in fiscal Q2 2024 (a decline of 33.0%).
- Business Quant data shows OXM's Current Assets at $302.69 million (Q1 2027), $292.45 million (Q4 2026) and $289.27 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.14 Bn | 19.13 Bn | 5.39 Bn | 24.60 Bn |
| 2 | Tapestry | 22.87 Bn | 18.83 Bn | 1.56 Bn | 2.88 Bn |
| 3 | Ralph Lauren | 21.39 Bn | 13.49 Bn | 1.44 Bn | 3.83 Bn |
| 4 | Deckers Outdoor | 11.06 Bn | 3.93 Bn | - | 2.85 Bn |
| 5 | Lululemon Athletica | 10.32 Bn | 4.58 Bn | 1.46 Bn | 3.95 Bn |
| 6 | Levi Strauss | 7.62 Bn | 4.28 Bn | 979.10 Mn | 2.97 Bn |
| 7 | Gildan Activewear | 6.55 Bn | 5.54 Bn | 459.76 Mn | 4.53 Bn |
| 8 | Birkenstock Holding | 6.07 Bn | 4.38 Bn | 493.89 Mn | 2.19 Bn |
| 9 | Crocs | 5.90 Bn | 5.31 Bn | 700.71 Mn | 1.08 Bn |
| 10 | Oxford Industries | 374.46 Mn | 339.97 Mn | 291.13 Mn | 281.61 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 281.61 Mn |
| May 2, 2026 | 302.69 Mn |
| Jan 31, 2026 | 292.45 Mn |
| Nov 1, 2025 | 289.27 Mn |
| Aug 2, 2025 | 294.05 Mn |
| May 3, 2025 | 317.53 Mn |
| Feb 1, 2025 | 292.78 Mn |
| Nov 2, 2024 | 307.10 Mn |
| Aug 3, 2024 | 287.20 Mn |
| May 4, 2024 | 298.36 Mn |
| Feb 3, 2024 | 293.12 Mn |
| Oct 28, 2023 | 291.38 Mn |
| Jul 29, 2023 | 282.38 Mn |
| Apr 29, 2023 | 327.70 Mn |
| Jan 28, 2023 | 330.46 Mn |
| Oct 29, 2022 | 299.50 Mn |
| Jul 30, 2022 | 421.25 Mn |
| Apr 30, 2022 | 407.91 Mn |
| Jan 29, 2022 | 400.34 Mn |
| Oct 30, 2021 | 366.95 Mn |
Oxford Industries Current 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=current-assets&ticker=OXM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "current-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=current-assets&ticker=OXM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();