Oxford Industries (OXM) Amortizatization of Intangibles (2010 - 2026)
Oxford Industries (OXM) reported Amortizatization of Intangibles of $1.81 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), down 25.6% from $2.43 million a year earlier and down 0.1% from the prior quarter.
Oxford Industries (OXM) Amortizatization of Intangibles (2010 - 2026) Analysis & Trends
Over the twelve months ended Aug 1, 2026, Oxford Industries' Amortizatization of Intangibles came in at $8.43 million, down 23.0% year-over-year; for FY2026 (ended Jan 31, 2026), it was $9.68 million, down 19.3% from FY2025.
- Amortizatization of Intangibles has a five-year compound annual growth rate of 54.2% (FY2021 to FY2026).
- By fiscal year, Amortizatization of Intangibles came in at $12 million in FY2025 (-18.6%), $14.74 million in FY2024 (+141.6%), $6.1 million in FY2023 (+593.4%) and $880,000 in FY2022 (-20.8%).
- The fiscal Q2 2027 figure ranks as the lowest quarterly Amortizatization of Intangibles since fiscal Q2 2023.
- Year over year, Amortizatization of Intangibles has now declined in each of the last 11 quarters, with an average decline of 20.5% over the last eight quarters.
- The high point for year-over-year Amortizatization of Intangibles in five years was fiscal Q3 2023 (growth of 749.1%); the low point was fiscal Q1 2027 (a decline of 25.8%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $1.81 million (Q1 2027), $2.39 million (Q4 2026) and $2.43 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 50.34 Bn | 16.54 Bn | 4.80 Bn | - |
| 2 | Tapestry | 23.66 Bn | 19.62 Bn | 1.56 Bn | 13.40 Mn |
| 3 | Ralph Lauren | 21.85 Bn | 13.95 Bn | 1.44 Bn | - |
| 4 | Deckers Outdoor | 11.26 Bn | 4.14 Bn | - | - |
| 5 | Lululemon Athletica | 10.07 Bn | 4.32 Bn | 1.46 Bn | - |
| 6 | Levi Strauss | 7.67 Bn | 4.32 Bn | 979.10 Mn | - |
| 7 | Gildan Activewear | 6.27 Bn | 5.26 Bn | 459.76 Mn | - |
| 8 | Birkenstock Holding | 6.13 Bn | 4.43 Bn | 493.89 Mn | - |
| 9 | Crocs | 5.68 Bn | 5.09 Bn | 700.71 Mn | - |
| 10 | Oxford Industries | 373.71 Mn | 339.22 Mn | 291.13 Mn | 1.81 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 1.81 Mn |
| May 2, 2026 | 1.81 Mn |
| Jan 31, 2026 | 2.39 Mn |
| Nov 1, 2025 | 2.43 Mn |
| Aug 2, 2025 | 2.43 Mn |
| May 3, 2025 | 2.43 Mn |
| Feb 1, 2025 | 3.14 Mn |
| Nov 2, 2024 | 2.96 Mn |
| Aug 3, 2024 | 2.95 Mn |
| May 4, 2024 | 2.96 Mn |
| Feb 3, 2024 | 3.74 Mn |
| Oct 28, 2023 | 3.67 Mn |
| Jul 29, 2023 | 3.67 Mn |
| Apr 29, 2023 | 3.66 Mn |
| Jan 28, 2023 | 3.78 Mn |
| Oct 29, 2022 | 1.87 Mn |
| Jul 30, 2022 | 227,000.00 |
| Apr 30, 2022 | 227,000.00 |
| Jan 29, 2022 | 220,000.00 |
| Oct 30, 2021 | 220,000.00 |
Oxford Industries Amortizatization of 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=amortizatization-of-intangibles&ticker=OXM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-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=amortizatization-of-intangibles&ticker=OXM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();