Oxford Industries (OXM) Cash from Operations (2010 - 2026)
Oxford Industries (OXM) reported Cash from Operations of $89.4 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 7.1% from $83.49 million a year earlier.
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Analysis
Oxford Industries (OXM) Cash from Operations (2010 - 2026) Analysis & Trends
Over the twelve months ended Aug 1, 2026, Oxford Industries' Cash from Operations came in at $137.4 million, down 9.5% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $119.65 million, down 38.3% from FY2025.
- Cash from Operations has a five-year compound annual growth rate of 7.4% (FY2021 to FY2026).
- By fiscal year, Cash from Operations came in at $194.03 million in FY2025 (-20.6%), $244.28 million in FY2024 (+94.5%), $125.61 million in FY2023 (-36.6%) and $198.01 million in FY2022 (+136.1%).
- The fiscal Q2 2027 figure ranks as the highest quarterly Cash from Operations since fiscal Q4 2025.
- Year over year, Cash from Operations gained in two of the last four quarters, with an average decline of 5.9%.
- The high point for year-over-year Cash from Operations in five years was fiscal Q1 2024 (growth of 133.8%); the low point was fiscal Q4 2026 (a decline of 45.7%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $7.9 million (Q1 2027), $49.19 million (Q4 2026) and -$9.09 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn | 1.64 Bn |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn | 522.20 Mn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn | 339.30 Mn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - | - |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn | 374.84 Mn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn | 270.80 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 347.44 Mn |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn | 286.47 Mn |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn | 351.70 Mn |
| 10 | Oxford Industries | 365.77 Mn | 331.28 Mn | 291.13 Mn | 89.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 89.40 Mn |
| May 2, 2026 | 7.90 Mn |
| Jan 31, 2026 | 49.19 Mn |
| Nov 1, 2025 | -9.09 Mn |
| Aug 2, 2025 | 83.49 Mn |
| May 3, 2025 | -3.94 Mn |
| Feb 1, 2025 | 90.51 Mn |
| Nov 2, 2024 | -18.21 Mn |
| Aug 3, 2024 | 88.82 Mn |
| May 4, 2024 | 32.92 Mn |
| Feb 3, 2024 | 74.89 Mn |
| Oct 28, 2023 | 16.90 Mn |
| Jul 29, 2023 | 99.94 Mn |
| Apr 29, 2023 | 52.56 Mn |
| Jan 28, 2023 | 39.36 Mn |
| Oct 29, 2022 | -4.37 Mn |
| Jul 30, 2022 | 68.15 Mn |
| Apr 30, 2022 | 22.48 Mn |
| Jan 29, 2022 | 40.92 Mn |
| Oct 30, 2021 | 8.10 Mn |
API Access
Oxford Industries Cash from Operations 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=cash-from-operations&ticker=OXM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=OXM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();