Oxford Industries (OXM) Goodwill (2011 - 2026)
Oxford Industries (OXM) reported Goodwill of $25.59 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), down 6.6% from $27.41 million a year earlier and down 0.1% from the prior quarter.
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Analysis
Oxford Industries (OXM) Goodwill (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Oxford Industries posted Goodwill of $25.6 million, down 6.5% from FY2025.
- Goodwill has a five-year compound annual growth rate of 1.4% (FY2021 to FY2026).
- By fiscal year, Goodwill came in at $27.38 million in FY2025 (+0.7%), $27.19 million in FY2024 (-77.4%), $120.5 million in FY2023 (+404.8%) and $23.87 million in FY2022 (-0.2%).
- Five-year quarterly Goodwill spans a low of $23.86 million in fiscal Q2 2023 and a high of $124.23 million in fiscal Q3 2024.
- Year over year, Goodwill has now declined in each of the last four quarters, with an average decline of 12.8% over the last eight quarters.
- The high point for year-over-year Goodwill in five years was fiscal Q2 2024 (growth of 415.8%); the low point was fiscal Q3 2025 (a decline of 77.9%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $25.61 million (Q1 2027), $25.6 million (Q4 2026) and $25.56 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 53.14 Bn | 19.13 Bn | 5.39 Bn |
| 2 | Tapestry | 22.87 Bn | 18.83 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 21.39 Bn | 13.49 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 11.06 Bn | 3.93 Bn | - |
| 5 | Lululemon Athletica | 10.32 Bn | 4.58 Bn | 1.46 Bn |
| 6 | Levi Strauss | 7.62 Bn | 4.28 Bn | 979.10 Mn |
| 7 | Gildan Activewear | 6.55 Bn | 5.54 Bn | 459.76 Mn |
| 8 | Birkenstock Holding | 6.07 Bn | 4.38 Bn | 493.89 Mn |
| 9 | Crocs | 5.90 Bn | 5.31 Bn | 700.71 Mn |
| 10 | Oxford Industries | 374.46 Mn | 339.97 Mn | 291.13 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 25.59 Mn |
| May 2, 2026 | 25.61 Mn |
| Jan 31, 2026 | 25.60 Mn |
| Nov 1, 2025 | 25.56 Mn |
| Aug 2, 2025 | 27.41 Mn |
| May 3, 2025 | 27.40 Mn |
| Feb 1, 2025 | 27.38 Mn |
| Nov 2, 2024 | 27.42 Mn |
| Aug 3, 2024 | 27.31 Mn |
| May 4, 2024 | 27.19 Mn |
| Feb 3, 2024 | 27.19 Mn |
| Oct 28, 2023 | 124.23 Mn |
| Jul 29, 2023 | 123.08 Mn |
| Apr 29, 2023 | 122.06 Mn |
| Jan 28, 2023 | 120.50 Mn |
| Oct 29, 2022 | 116.27 Mn |
| Jul 30, 2022 | 23.86 Mn |
| Apr 30, 2022 | 23.87 Mn |
| Jan 29, 2022 | 23.87 Mn |
| Oct 30, 2021 | 23.91 Mn |
API Access
Oxford Industries Goodwill 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&ticker=OXM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill", "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&ticker=OXM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();