Oxford Industries (OXM) Depreciation and Depletion (2010 - 2026)
Oxford Industries (OXM) posted Depreciation and Depletion of $15.39 million for 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.
Oxford Industries (OXM) Depreciation and Depletion (2010 - 2026) Analysis & Trends
For the trailing twelve months through Aug 1, 2026, Depreciation and Depletion at Oxford Industries was $57.49 million, up 0.2% year-over-year; for FY2026 (ended Jan 31, 2026), it was $56.22 million, up 0.6% from FY2025.
- Annual Depreciation and Depletion has increased for six consecutive fiscal years, with a five-year compound annual growth rate of 7.6% (FY2021 to FY2026).
- In prior fiscal years, Oxford Industries' Depreciation and Depletion was $55.87 million in FY2025 (+13.3%), $49.32 million in FY2024 (+18.8%), $41.5 million in FY2023 (+6.2%) and $39.06 million in FY2022 (+0.2%).
- The fiscal Q2 2027 figure stands as the highest quarterly Depreciation and Depletion in data going back to fiscal Q3 2011.
- On a year-over-year basis, Depreciation and Depletion increased in six of the last eight quarters, with growth averaging 4.0%.
- The strongest year-over-year quarter for Depreciation and Depletion in the past five years was fiscal Q4 2022, with growth of 87.4%; the weakest was fiscal Q3 2022, with a decline of 6.2%.
- According to Business Quant data, Depreciation and Depletion for the three prior fiscal quarters was $14.57 million (Q1 2027), $13.77 million (Q4 2026) and $13.76 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (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 | 56.50 Mn |
| 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 | 15.39 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 15.39 Mn |
| May 2, 2026 | 14.57 Mn |
| Jan 31, 2026 | 13.77 Mn |
| Nov 1, 2025 | 13.76 Mn |
| Aug 2, 2025 | 14.16 Mn |
| May 3, 2025 | 14.53 Mn |
| Feb 1, 2025 | 14.44 Mn |
| Nov 2, 2024 | 14.25 Mn |
| Aug 3, 2024 | 13.60 Mn |
| May 4, 2024 | 13.59 Mn |
| Feb 3, 2024 | 13.85 Mn |
| Oct 28, 2023 | 12.35 Mn |
| Jul 29, 2023 | 11.62 Mn |
| Apr 29, 2023 | 11.51 Mn |
| Jan 28, 2023 | 10.38 Mn |
| Oct 29, 2022 | 10.77 Mn |
| Jul 30, 2022 | 10.40 Mn |
| Apr 30, 2022 | 9.96 Mn |
| Jan 29, 2022 | 10.47 Mn |
| Oct 30, 2021 | 9.66 Mn |
Oxford Industries Depreciation and Depletion 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-depletion&ticker=OXM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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-depletion&ticker=OXM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();