Oxford Industries (OXM) Invested Capital (2010 - 2026)
Oxford Industries (OXM) reported Invested Capital of $637.72 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), down 6.0% from $678.49 million a year earlier and down 4.3% from the prior quarter.
Oxford Industries (OXM) Invested Capital (2010 - 2026) Analysis & Trends
For FY2026 (ended Jan 31, 2026), Oxford Industries posted Invested Capital of $631.28 million, down 3.4% from FY2025.
- Invested Capital has a three-year compound annual growth rate of -2.2% (FY2023 to FY2026).
- By fiscal year, Invested Capital came in at $653.67 million in FY2025 (+10.7%), $590.22 million in FY2024 (-12.6%) and $675.28 million in FY2023.
- Five-year quarterly Invested Capital spans a low of $590.22 million in fiscal Q4 2024 and a high of $710.14 million in fiscal Q1 2026.
- Year over year, Invested Capital has now declined in each of the last four quarters, with growth averaging 2.1% over the last eight quarters.
- The high point for year-over-year Invested Capital in five years was fiscal Q1 2026 (growth of 16.1%); the low point was fiscal Q1 2025 (a decline of 12.9%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $666.11 million (Q1 2027), $631.28 million (Q4 2026) and $668.45 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Invested Cap. (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 57.28 Bn | 23.48 Bn | 4.80 Bn | 23.11 Bn |
| 2 | Tapestry | 27.14 Bn | 23.10 Bn | 1.56 Bn | 3.07 Bn |
| 3 | Ralph Lauren | 22.63 Bn | 14.55 Bn | 1.63 Bn | 3.97 Bn |
| 4 | Lululemon Athletica | 12.51 Bn | 6.76 Bn | 1.46 Bn | - |
| 5 | Deckers Outdoor | 11.73 Bn | 4.92 Bn | 895.11 Mn | - |
| 6 | Levi Strauss | 8.84 Bn | 5.42 Bn | 1.07 Bn | 3.46 Bn |
| 7 | V F | 8.00 Bn | 4.60 Bn | 1.49 Bn | 5.57 Bn |
| 8 | Crocs | 7.20 Bn | 6.60 Bn | 689.73 Mn | 2.63 Bn |
| 9 | Birkenstock Holding | 6.95 Bn | 5.27 Bn | 493.89 Mn | 5.14 Bn |
| 10 | Oxford Industries | 438.01 Mn | 403.52 Mn | 291.13 Mn | 637.72 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 637.72 Mn |
| May 2, 2026 | 666.11 Mn |
| Jan 31, 2026 | 631.28 Mn |
| Nov 1, 2025 | 668.45 Mn |
| Aug 2, 2025 | 678.49 Mn |
| May 3, 2025 | 710.14 Mn |
| Feb 1, 2025 | 653.67 Mn |
| Nov 2, 2024 | 669.98 Mn |
| Aug 3, 2024 | 621.56 Mn |
| May 4, 2024 | 611.51 Mn |
| Feb 3, 2024 | 590.22 Mn |
| Oct 28, 2023 | 693.33 Mn |
| Jul 29, 2023 | 673.10 Mn |
| Apr 29, 2023 | 701.73 Mn |
| Jan 28, 2023 | 675.28 Mn |
| Oct 29, 2022 | 663.49 Mn |
| Jul 30, 2022 | 534.02 Mn |
| Apr 30, 2022 | 513.42 Mn |
| Jan 29, 2022 | 507.66 Mn |
| Oct 30, 2021 | 495.47 Mn |
Oxford Industries Invested Capital 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=invested-capital&ticker=OXM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "invested-capital", "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=invested-capital&ticker=OXM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();