Oxford Industries (OXM) Retained Earnings (2010 - 2026)
Oxford Industries' Retained Earnings came in at $338.33 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), down 12.7% from $387.62 million a year earlier but up 12.7% from the prior quarter.
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Analysis
Oxford Industries (OXM) Retained Earnings (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Oxford Industries' Retained Earnings was $295.97 million, down 29.5% from FY2025.
- Retained Earnings carries a five-year compound annual growth rate of 4.6% (FY2021 to FY2026).
- Going back by fiscal year, Retained Earnings was $419.71 million in FY2025 (+13.6%), $369.45 million in FY2024 (-0.2%), $370.15 million in FY2023 (+11.8%) and $331.18 million in FY2022 (+40.3%).
- The five-year range for quarterly Retained Earnings is $295.97 million (fiscal Q4 2026) to $440.32 million (fiscal Q2 2024).
- Year-over-year, Retained Earnings has declined for six consecutive quarters, with an average decline of 11.6% over the last eight quarters.
- The fastest year-over-year change in Retained Earnings over five years came in fiscal Q4 2022 (growth of 40.3%), and the weakest in fiscal Q4 2026 (a decline of 29.5%).
- Business Quant data shows OXM's Retained Earnings at $300.29 million (Q1 2027), $295.97 million (Q4 2026) and $313.57 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.14 Bn | 19.13 Bn | 5.39 Bn | -155.00 Mn |
| 2 | Tapestry | 22.87 Bn | 18.83 Bn | 1.56 Bn | -3.21 Bn |
| 3 | Ralph Lauren | 21.39 Bn | 13.49 Bn | 1.44 Bn | 8.51 Bn |
| 4 | Deckers Outdoor | 11.06 Bn | 3.93 Bn | - | 2.25 Bn |
| 5 | Lululemon Athletica | 10.32 Bn | 4.58 Bn | 1.46 Bn | 4.36 Bn |
| 6 | Levi Strauss | 7.62 Bn | 4.28 Bn | 979.10 Mn | 1.90 Bn |
| 7 | Gildan Activewear | 6.55 Bn | 5.54 Bn | 459.76 Mn | 902.37 Mn |
| 8 | Birkenstock Holding | 6.07 Bn | 4.38 Bn | 493.89 Mn | 1.17 Bn |
| 9 | Crocs | 5.90 Bn | 5.31 Bn | 700.71 Mn | 3.82 Bn |
| 10 | Oxford Industries | 374.46 Mn | 339.97 Mn | 291.13 Mn | 338.33 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 338.33 Mn |
| May 2, 2026 | 300.29 Mn |
| Jan 31, 2026 | 295.97 Mn |
| Nov 1, 2025 | 313.57 Mn |
| Aug 2, 2025 | 387.62 Mn |
| May 3, 2025 | 385.76 Mn |
| Feb 1, 2025 | 419.71 Mn |
| Nov 2, 2024 | 412.74 Mn |
| Aug 3, 2024 | 426.87 Mn |
| May 4, 2024 | 396.93 Mn |
| Feb 3, 2024 | 369.45 Mn |
| Oct 28, 2023 | 439.76 Mn |
| Jul 29, 2023 | 440.32 Mn |
| Apr 29, 2023 | 418.04 Mn |
| Jan 28, 2023 | 370.15 Mn |
| Oct 29, 2022 | 351.73 Mn |
| Jul 30, 2022 | 355.04 Mn |
| Apr 30, 2022 | 336.99 Mn |
| Jan 29, 2022 | 331.18 Mn |
| Oct 30, 2021 | 321.24 Mn |
API Access
Oxford Industries Retained Earnings 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=retained-earnings&ticker=OXM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=OXM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();