Oxford Industries (OXM) Depreciation & Amortization (CF) (2010 - 2026)
Oxford Industries' Depreciation & Amortization (CF) came in at $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 & Amortization (CF) (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Aug 1, 2026, Oxford Industries reported Depreciation & Amortization (CF) of $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.
- Depreciation & Amortization (CF) carries a five-year compound annual growth rate of -1.3% (FY2021 to FY2026).
- Going back by fiscal year, Depreciation & Amortization (CF) was $55.87 million in FY2025 (-12.8%), $64.07 million in FY2024 (+30.7%), $49.04 million in FY2023 (+17.9%) and $41.6 million in FY2022 (-30.6%).
- The fiscal Q2 2027 figure represents the highest quarterly Depreciation & Amortization (CF) since fiscal Q1 2025.
- Year-over-year, Depreciation & Amortization (CF) increased in three of the last eight quarters, with an average decline of 4.5%.
- The fastest year-over-year change in Depreciation & Amortization (CF) over five years came in fiscal Q1 2024 (growth of 48.9%), and the weakest in fiscal Q4 2022 (a decline of 51.9%).
- Business Quant data shows OXM's Depreciation & Amortization (CF) at $14.57 million (Q1 2027), $13.77 million (Q4 2026) and $13.76 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn | 193.00 Mn |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn | 45.20 Mn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn | 58.90 Mn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - | - |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn | 142.33 Mn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn | 57.20 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 68.32 Mn |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn | 8.57 Mn |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn | 20.05 Mn |
| 10 | Oxford Industries | 365.77 Mn | 331.28 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 | 16.54 Mn |
| Feb 3, 2024 | 17.59 Mn |
| Oct 28, 2023 | 16.02 Mn |
| Jul 29, 2023 | 15.29 Mn |
| Apr 29, 2023 | 15.17 Mn |
| Jan 28, 2023 | 15.59 Mn |
| Oct 29, 2022 | 12.64 Mn |
| Jul 30, 2022 | 10.62 Mn |
| Apr 30, 2022 | 10.19 Mn |
| Jan 29, 2022 | 12.35 Mn |
| Oct 30, 2021 | 9.88 Mn |
Oxford Industries Depreciation & Amortization (CF) 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-cf&ticker=OXM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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-cf&ticker=OXM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();