Oxford Industries (OXM) Non-Current Assets (2010 - 2026)
Oxford Industries (OXM) reported Non-Current Assets of $1.02 billion for fiscal Q2 2027 (quarter ended Aug 1, 2026), down 1.2% from $1.03 billion a year earlier and down 1.7% from the prior quarter.
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Analysis
Oxford Industries (OXM) Non-Current Assets (2010 - 2026) Analysis & Trends
Dating back to fiscal Q2 2011, Oxford Industries' Non-Current Assets record includes 65 quarters.
- Non-Current Assets has a five-year compound annual growth rate of 10.9% (FY2021 to FY2026).
- By fiscal year, Non-Current Assets came in at $997.02 million in FY2025 (+23.9%), $804.73 million in FY2024 (-6.2%), $858.2 million in FY2023 (+54.0%) and $557.31 million in FY2022 (-8.2%).
- Five-year quarterly Non-Current Assets spans a low of $535.95 million in fiscal Q2 2023 and a high of $1.04 billion in fiscal Q1 2027.
- Year over year, Non-Current Assets gained in seven of the last eight quarters, with growth averaging 9.4%.
- The high point for year-over-year Non-Current Assets in five years was fiscal Q2 2024 (growth of 61.9%); the low point was fiscal Q3 2022 (a decline of 11.5%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $1.04 billion (Q1 2027), $1.02 billion (Q4 2026) and $994.83 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 57.28 Bn | 23.48 Bn | 4.80 Bn | 14.12 Bn |
| 2 | Tapestry | 27.14 Bn | 23.10 Bn | 1.56 Bn | 3.81 Bn |
| 3 | Ralph Lauren | 22.63 Bn | 14.55 Bn | 1.63 Bn | 3.85 Bn |
| 4 | Lululemon Athletica | 12.51 Bn | 6.76 Bn | 1.46 Bn | 4.54 Bn |
| 5 | Deckers Outdoor | 11.73 Bn | 4.92 Bn | 895.11 Mn | 1.04 Bn |
| 6 | Levi Strauss | 8.84 Bn | 5.42 Bn | 1.07 Bn | 3.69 Bn |
| 7 | V F | 8.00 Bn | 4.60 Bn | 1.49 Bn | 5.29 Bn |
| 8 | Crocs | 7.20 Bn | 6.60 Bn | 689.73 Mn | 3.25 Bn |
| 9 | Birkenstock Holding | 6.95 Bn | 5.27 Bn | 493.89 Mn | 4.31 Bn |
| 10 | Oxford Industries | 438.01 Mn | 403.52 Mn | 291.13 Mn | 1.02 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 1.02 Bn |
| May 2, 2026 | 1.04 Bn |
| Jan 31, 2026 | 1.02 Bn |
| Nov 1, 2025 | 994.83 Mn |
| Aug 2, 2025 | 1.03 Bn |
| May 3, 2025 | 1.02 Bn |
| Feb 1, 2025 | 997.02 Mn |
| Nov 2, 2024 | 916.03 Mn |
| Aug 3, 2024 | 885.33 Mn |
| May 4, 2024 | 858.61 Mn |
| Feb 3, 2024 | 804.73 Mn |
| Oct 28, 2023 | 870.78 Mn |
| Jul 29, 2023 | 867.48 Mn |
| Apr 29, 2023 | 866.53 Mn |
| Jan 28, 2023 | 858.20 Mn |
| Oct 29, 2022 | 840.82 Mn |
| Jul 30, 2022 | 535.95 Mn |
| Apr 30, 2022 | 539.11 Mn |
| Jan 29, 2022 | 557.31 Mn |
| Oct 30, 2021 | 565.85 Mn |
API Access
Oxford Industries Non-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=non-current-assets&ticker=OXM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-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=non-current-assets&ticker=OXM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();