Oxford Industries (OXM) Capital Expenditures (2010 - 2026)
Oxford Industries' Capital Expenditures came in at $8.77 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), down 71.9% from $31.18 million a year earlier and down 61.5% from the prior quarter.
Oxford Industries (OXM) Capital Expenditures (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Aug 1, 2026, Oxford Industries reported Capital Expenditures of $85.27 million, down 37.0% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $108.34 million, down 19.3% from FY2025.
- Capital Expenditures carries a five-year compound annual growth rate of 30.2% (FY2021 to FY2026).
- Going back by fiscal year, Capital Expenditures was $134.23 million in FY2025 (+81.2%), $74.1 million in FY2024 (+58.8%), $46.67 million in FY2023 (+46.3%) and $31.89 million in FY2022 (+10.3%).
- The fiscal Q2 2027 figure represents the lowest quarterly Capital Expenditures since fiscal Q4 2022.
- Year-over-year, Capital Expenditures has declined for three consecutive quarters, with growth averaging 14.4% over the last eight quarters.
- The fastest year-over-year change in Capital Expenditures over five years came in fiscal Q2 2025 (growth of 182.3%), and the weakest in fiscal Q2 2027 (a decline of 71.9%).
- Business Quant data shows OXM's Capital Expenditures at $22.77 million (Q1 2027), $14.9 million (Q4 2026) and $38.83 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.14 Bn | 19.13 Bn | 5.39 Bn | 138.00 Mn |
| 2 | Tapestry | 22.87 Bn | 18.83 Bn | 1.56 Bn | 53.20 Mn |
| 3 | Ralph Lauren | 21.39 Bn | 13.49 Bn | 1.44 Bn | 53.40 Mn |
| 4 | Deckers Outdoor | 11.06 Bn | 3.93 Bn | - | - |
| 5 | Lululemon Athletica | 10.32 Bn | 4.58 Bn | 1.46 Bn | 149.68 Mn |
| 6 | Levi Strauss | 7.62 Bn | 4.28 Bn | 979.10 Mn | 39.90 Mn |
| 7 | Gildan Activewear | 6.55 Bn | 5.54 Bn | 459.76 Mn | -19.85 Mn |
| 8 | Birkenstock Holding | 6.07 Bn | 4.38 Bn | 493.89 Mn | -30.49 Mn |
| 9 | Crocs | 5.90 Bn | 5.31 Bn | 700.71 Mn | 20.73 Mn |
| 10 | Oxford Industries | 374.46 Mn | 339.97 Mn | 291.13 Mn | 8.77 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 8.77 Mn |
| May 2, 2026 | 22.77 Mn |
| Jan 31, 2026 | 14.90 Mn |
| Nov 1, 2025 | 38.83 Mn |
| Aug 2, 2025 | 31.18 Mn |
| May 3, 2025 | 23.43 Mn |
| Feb 1, 2025 | 41.98 Mn |
| Nov 2, 2024 | 38.72 Mn |
| Aug 3, 2024 | 41.63 Mn |
| May 4, 2024 | 11.89 Mn |
| Feb 3, 2024 | 19.60 Mn |
| Oct 28, 2023 | 23.09 Mn |
| Jul 29, 2023 | 14.75 Mn |
| Apr 29, 2023 | 16.66 Mn |
| Jan 28, 2023 | 14.34 Mn |
| Oct 29, 2022 | 12.59 Mn |
| Jul 30, 2022 | 10.47 Mn |
| Apr 30, 2022 | 9.28 Mn |
| Jan 29, 2022 | 6.76 Mn |
| Oct 30, 2021 | 8.91 Mn |
Oxford Industries Capital Expenditures 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=capital-expenditures&ticker=OXM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=OXM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();