Oxford Industries (OXM) Assets (2010 - 2026)
Oxford Industries' Assets came in at $1.3 billion for fiscal Q2 2027 (quarter ended Aug 1, 2026), down 1.9% from $1.32 billion a year earlier and down 2.9% from the prior quarter.
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Analysis
Oxford Industries (OXM) Assets (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Oxford Industries' Assets was $1.31 billion, up 1.5% from FY2025.
- Assets carries a five-year compound annual growth rate of 8.6% (FY2021 to FY2026).
- Going back by fiscal year, Assets was $1.29 billion in FY2025 (+17.5%), $1.1 billion in FY2024 (-7.6%), $1.19 billion in FY2023 (+24.1%) and $957.64 million in FY2022 (+10.6%).
- The five-year range for quarterly Assets is $932.8 million (fiscal Q3 2022) to $1.34 billion (fiscal Q1 2026).
- Year-over-year, Assets increased in six of the last eight quarters, with growth averaging 7.0%.
- The fastest year-over-year change in Assets over five years came in fiscal Q1 2024 (growth of 26.1%), and the weakest in fiscal Q4 2024 (a decline of 7.6%).
- Business Quant data shows OXM's Assets at $1.34 billion (Q1 2027), $1.31 billion (Q4 2026) and $1.28 billion (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.14 Bn | 19.13 Bn | 5.39 Bn | 38.41 Bn |
| 2 | Tapestry | 22.87 Bn | 18.83 Bn | 1.56 Bn | 6.69 Bn |
| 3 | Ralph Lauren | 21.39 Bn | 13.49 Bn | 1.44 Bn | 7.66 Bn |
| 4 | Deckers Outdoor | 11.06 Bn | 3.93 Bn | - | 3.69 Bn |
| 5 | Lululemon Athletica | 10.32 Bn | 4.58 Bn | 1.46 Bn | 8.48 Bn |
| 6 | Levi Strauss | 7.62 Bn | 4.28 Bn | 979.10 Mn | 6.63 Bn |
| 7 | Gildan Activewear | 6.55 Bn | 5.54 Bn | 459.76 Mn | 10.06 Bn |
| 8 | Birkenstock Holding | 6.07 Bn | 4.38 Bn | 493.89 Mn | 6.58 Bn |
| 9 | Crocs | 5.90 Bn | 5.31 Bn | 700.71 Mn | 4.36 Bn |
| 10 | Oxford Industries | 374.46 Mn | 339.97 Mn | 291.13 Mn | 1.30 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 1.30 Bn |
| May 2, 2026 | 1.34 Bn |
| Jan 31, 2026 | 1.31 Bn |
| Nov 1, 2025 | 1.28 Bn |
| Aug 2, 2025 | 1.32 Bn |
| May 3, 2025 | 1.34 Bn |
| Feb 1, 2025 | 1.29 Bn |
| Nov 2, 2024 | 1.22 Bn |
| Aug 3, 2024 | 1.17 Bn |
| May 4, 2024 | 1.16 Bn |
| Feb 3, 2024 | 1.10 Bn |
| Oct 28, 2023 | 1.16 Bn |
| Jul 29, 2023 | 1.15 Bn |
| Apr 29, 2023 | 1.19 Bn |
| Jan 28, 2023 | 1.19 Bn |
| Oct 29, 2022 | 1.14 Bn |
| Jul 30, 2022 | 957.20 Mn |
| Apr 30, 2022 | 947.02 Mn |
| Jan 29, 2022 | 957.64 Mn |
| Oct 30, 2021 | 932.80 Mn |
API Access
Oxford Industries 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=assets&ticker=OXM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=assets&ticker=OXM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();