Oxford Industries (OXM) Depreciation & Amortization - Total (2025 - 2026)
Oxford Industries (OXM) recorded Depreciation & Amortization - Total of $15.39 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 8.7% from $14.16 million a year earlier and up 5.6% from the prior quarter.
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Analysis
Oxford Industries (OXM) Depreciation & Amortization - Total (2025 - 2026) Analysis & Trends
On a TTM basis, Oxford Industries' Depreciation & Amortization - Total came in at $58.65 million as of Aug 1, 2026; for FY2026 (ended Jan 31, 2026), it came in at $56.22 million, up 0.6% from FY2025.
- Across earlier fiscal years, Depreciation & Amortization - Total came in at $55.87 million in FY2025 (+13.3%) and $49.32 million in FY2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Tot) (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn | - |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn | - |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn | - |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - | - |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn | - |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn | - |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | - |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn | - |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn | - |
| 10 | Oxford Industries | 365.77 Mn | 331.28 Mn | 291.13 Mn | 15.39 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 15.39 Mn |
| May 2, 2026 | 14.57 Mn |
| Aug 2, 2025 | 14.16 Mn |
| May 3, 2025 | 14.53 Mn |
API Access
Oxford Industries Depreciation & Amortization - Total 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=depreciation-and-amortization-total&ticker=OXM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-total", "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=depreciation-and-amortization-total&ticker=OXM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();