Oxford Industries (OXM) Goodwill & Intangibles (2010 - 2026)
Oxford Industries (OXM) recorded Goodwill & Intangibles of $211.39 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), down 24.7% from $280.75 million a year earlier and down 0.9% from the prior quarter.
Oxford Industries (OXM) Goodwill & Intangibles (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Oxford Industries reported Goodwill & Intangibles of $215.02 million, down 24.6% from FY2025.
- Annual Goodwill & Intangibles has declined for three straight fiscal years, though with a five-year compound annual growth rate of 3.6% (FY2021 to FY2026).
- Across earlier fiscal years, Goodwill & Intangibles came in at $285.3 million in FY2025 (-1.4%), $289.29 million in FY2024 (-28.5%), $404.34 million in FY2023 (+125.7%) and $179.18 million in FY2022 (-0.5%).
- The fiscal Q2 2027 figure is the lowest quarterly Goodwill & Intangibles since fiscal Q2 2023.
- On a year-over-year basis, Goodwill & Intangibles has declined for 12 consecutive quarters, with an average decline of 16.2% over the last eight quarters.
- Peak year-over-year performance for Goodwill & Intangibles in the last five years was growth of 125.7% in fiscal Q4 2023, against a decline of 29.4% in fiscal Q3 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $213.22 million (Q1 2027), $215.02 million (Q4 2026) and $217.36 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 50.34 Bn | 16.54 Bn | 4.80 Bn |
| 2 | Tapestry | 23.66 Bn | 19.62 Bn | 1.56 Bn |
| 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 |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 211.39 Mn |
| May 2, 2026 | 213.22 Mn |
| Jan 31, 2026 | 215.02 Mn |
| Nov 1, 2025 | 217.36 Mn |
| Aug 2, 2025 | 280.75 Mn |
| May 3, 2025 | 283.17 Mn |
| Feb 1, 2025 | 285.30 Mn |
| Nov 2, 2024 | 280.65 Mn |
| Aug 3, 2024 | 283.50 Mn |
| May 4, 2024 | 286.33 Mn |
| Feb 3, 2024 | 289.29 Mn |
| Oct 28, 2023 | 397.67 Mn |
| Jul 29, 2023 | 400.19 Mn |
| Apr 29, 2023 | 402.84 Mn |
| Jan 28, 2023 | 404.34 Mn |
| Oct 29, 2022 | 403.89 Mn |
| Jul 30, 2022 | 178.71 Mn |
| Apr 30, 2022 | 178.95 Mn |
| Jan 29, 2022 | 179.18 Mn |
| Oct 30, 2021 | 179.44 Mn |
Oxford Industries Goodwill & 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=goodwill-and-intangibles&ticker=OXM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-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=goodwill-and-intangibles&ticker=OXM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();