Oxford Industries (OXM) Other Non-Current Assets (2010 - 2026)
Oxford Industries (OXM) posted Other Non-Current Assets of $66.69 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 1.6% from $65.62 million a year earlier and up 8.3% from the prior quarter.
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Analysis
Oxford Industries (OXM) Other Non-Current Assets (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Oxford Industries' Other Non-Current Assets came in at $61.84 million, up 13.9% from FY2025.
- Annual Other Non-Current Assets shows a five-year compound annual growth rate of 12.9% (FY2021 to FY2026).
- In prior fiscal years, Oxford Industries' Other Non-Current Assets was $54.28 million in FY2025 (+68.6%), $32.19 million in FY2024 (-0.1%), $32.21 million in FY2023 (+5.3%) and $30.58 million in FY2022 (-9.3%).
- The fiscal Q2 2027 figure stands as the highest quarterly Other Non-Current Assets since fiscal Q1 2015.
- On a year-over-year basis, Other Non-Current Assets increased in seven of the last eight quarters, with growth averaging 31.9%.
- The strongest year-over-year quarter for Other Non-Current Assets in the past five years was fiscal Q4 2025, with growth of 68.6%; the weakest was fiscal Q3 2022, with a decline of 31.9%.
- According to Business Quant data, Other Non-Current Assets for the three prior fiscal quarters was $61.58 million (Q1 2027), $61.84 million (Q4 2026) and $60.56 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 57.28 Bn | 23.48 Bn | 4.80 Bn | - |
| 2 | Tapestry | 27.14 Bn | 23.10 Bn | 1.56 Bn | 180.20 Mn |
| 3 | Ralph Lauren | 22.63 Bn | 14.55 Bn | 1.63 Bn | 159.80 Mn |
| 4 | Lululemon Athletica | 12.51 Bn | 6.76 Bn | 1.46 Bn | 332.64 Mn |
| 5 | Deckers Outdoor | 11.73 Bn | 4.92 Bn | 895.11 Mn | 93.30 Mn |
| 6 | Levi Strauss | 8.84 Bn | 5.42 Bn | 1.07 Bn | 545.60 Mn |
| 7 | V F | 8.00 Bn | 4.60 Bn | 1.49 Bn | 2.82 Bn |
| 8 | Crocs | 7.20 Bn | 6.60 Bn | 689.73 Mn | 58.67 Mn |
| 9 | Birkenstock Holding | 6.95 Bn | 5.27 Bn | 493.89 Mn | 14.17 Mn |
| 10 | Oxford Industries | 438.01 Mn | 403.52 Mn | 291.13 Mn | 66.69 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 66.69 Mn |
| May 2, 2026 | 61.58 Mn |
| Jan 31, 2026 | 61.84 Mn |
| Nov 1, 2025 | 60.56 Mn |
| Aug 2, 2025 | 65.62 Mn |
| May 3, 2025 | 63.20 Mn |
| Feb 1, 2025 | 54.28 Mn |
| Nov 2, 2024 | 46.73 Mn |
| Aug 3, 2024 | 41.87 Mn |
| May 4, 2024 | 41.18 Mn |
| Feb 3, 2024 | 32.19 Mn |
| Oct 28, 2023 | 34.86 Mn |
| Jul 29, 2023 | 34.34 Mn |
| Apr 29, 2023 | 33.64 Mn |
| Jan 28, 2023 | 48.21 Mn |
| Oct 29, 2022 | 26.46 Mn |
| Jul 30, 2022 | 27.14 Mn |
| Apr 30, 2022 | 27.42 Mn |
| Jan 29, 2022 | 47.58 Mn |
| Oct 30, 2021 | 29.23 Mn |
API Access
Oxford Industries Other 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=other-non-current-assets&ticker=OXM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-non-current-assets&ticker=OXM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();