Oxford Industries (OXM) Intangibles (2010 - 2026)
Oxford Industries (OXM) reported Intangibles of $185.8 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), down 26.7% from $253.34 million a year earlier and down 1.0% from the prior quarter.
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Analysis
Oxford Industries (OXM) Intangibles (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Oxford Industries posted Intangibles of $189.41 million, down 26.6% from FY2025.
- Intangibles has declined for three consecutive fiscal years, though with a five-year compound annual growth rate of 3.9% (FY2021 to FY2026).
- By fiscal year, Intangibles came in at $257.92 million in FY2025 (-1.6%), $262.1 million in FY2024 (-7.7%), $283.85 million in FY2023 (+82.8%) and $155.31 million in FY2022 (-0.6%).
- The fiscal Q2 2027 figure ranks as the lowest quarterly Intangibles since fiscal Q2 2023.
- Year over year, Intangibles has now declined in each of the last 12 quarters, with an average decline of 14.4% over the last eight quarters.
- The high point for year-over-year Intangibles in five years was fiscal Q3 2023 (growth of 84.9%); the low point was fiscal Q2 2027 (a decline of 26.7%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $187.61 million (Q1 2027), $189.41 million (Q4 2026) and $191.8 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 57.28 Bn | 23.48 Bn | 4.80 Bn | 259.00 Mn |
| 2 | Tapestry | 27.14 Bn | 23.10 Bn | 1.56 Bn | 716.50 Mn |
| 3 | Ralph Lauren | 22.63 Bn | 14.55 Bn | 1.63 Bn | 88.40 Mn |
| 4 | Lululemon Athletica | 12.51 Bn | 6.76 Bn | 1.46 Bn | 2.53 Mn |
| 5 | Deckers Outdoor | 11.73 Bn | 4.92 Bn | 895.11 Mn | 15.63 Mn |
| 6 | Levi Strauss | 8.84 Bn | 5.42 Bn | 1.07 Bn | 192.90 Mn |
| 7 | V F | 8.00 Bn | 4.60 Bn | 1.49 Bn | 1.46 Bn |
| 8 | Crocs | 7.20 Bn | 6.60 Bn | 689.73 Mn | 1.31 Bn |
| 9 | Birkenstock Holding | 6.95 Bn | 5.27 Bn | 493.89 Mn | 1.81 Bn |
| 10 | Oxford Industries | 438.01 Mn | 403.52 Mn | 291.13 Mn | 185.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 185.80 Mn |
| May 2, 2026 | 187.61 Mn |
| Jan 31, 2026 | 189.41 Mn |
| Nov 1, 2025 | 191.80 Mn |
| Aug 2, 2025 | 253.34 Mn |
| May 3, 2025 | 255.77 Mn |
| Feb 1, 2025 | 257.92 Mn |
| Nov 2, 2024 | 253.24 Mn |
| Aug 3, 2024 | 256.19 Mn |
| May 4, 2024 | 259.15 Mn |
| Feb 3, 2024 | 262.10 Mn |
| Oct 28, 2023 | 273.44 Mn |
| Jul 29, 2023 | 277.11 Mn |
| Apr 29, 2023 | 280.79 Mn |
| Jan 28, 2023 | 283.85 Mn |
| Oct 29, 2022 | 287.63 Mn |
| Jul 30, 2022 | 154.85 Mn |
| Apr 30, 2022 | 155.08 Mn |
| Jan 29, 2022 | 155.31 Mn |
| Oct 30, 2021 | 155.53 Mn |
API Access
Oxford Industries Intangibles 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=intangibles&ticker=OXM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=OXM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();