Oxford Industries (OXM) Asset Writedowns and Impairment (2020 - 2026)
Oxford Industries (OXM) recorded Asset Writedowns and Impairment of $1.28 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 50.4% from the prior quarter.
Oxford Industries (OXM) Asset Writedowns and Impairment (2020 - 2026) Analysis & Trends
On a TTM basis, Oxford Industries' Asset Writedowns and Impairment came in at $3.43 million as of Aug 1, 2026, up 163.2% year-over-year; for FY2026 (ended Jan 31, 2026), it was $1.32 million, up 1.5% from FY2025.
- Annual Asset Writedowns and Impairment has a five-year compound annual growth rate of -53.4% (FY2021 to FY2026).
- Across earlier fiscal years, Asset Writedowns and Impairment came in at $1.3 million in FY2025 (+30.3%), $1 million in FY2024 (-30.1%), $1.43 million in FY2023 (-28.5%) and $2 million in FY2022 (-96.7%).
- Quarterly Asset Writedowns and Impairment has ranged from -$59.68 million in fiscal Q4 2026 to $60.98 million in fiscal Q3 2026 over the past five years.
- Per Business Quant, the preceding three fiscal quarters came in at $849,000 (Q1 2027), -$59.68 million (Q4 2026) and $60.98 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 | 1.28 Mn |
| May 2, 2026 | 849,000.00 |
| Jan 31, 2026 | -59.68 Mn |
| Nov 1, 2025 | 60.98 Mn |
| Feb 1, 2025 | 1.30 Mn |
| May 2, 2020 | 60.45 Mn |
Oxford Industries Asset Writedowns and Impairment 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=asset-writedowns-and-impairment&ticker=OXM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "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=asset-writedowns-and-impairment&ticker=OXM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();