Oxford Industries (OXM) EPS (Diluted) (2010 - 2026)
Oxford Industries' EPS (Diluted) came in at $3.25 for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 190.7% from $1.12 a year earlier and up 225.1% from the prior quarter.
Oxford Industries (OXM) EPS (Diluted) (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Aug 1, 2026, Oxford Industries reported EPS (Diluted) of -$0.45; for FY2026 (ended Jan 31, 2026), it came in at -$1.86.
- Going back by fiscal year, EPS (Diluted) was $5.87 in FY2025 (+53.9%), $3.82 in FY2024 (-62.6%), $10.19 in FY2023 (+30.9%) and $7.78 in FY2022.
- The fiscal Q2 2027 figure represents the highest quarterly EPS (Diluted) since fiscal Q1 2024.
- Year-over-year, EPS (Diluted) increased in 1 of the last four quarters, with growth averaging 15.8%.
- The fastest year-over-year change in EPS (Diluted) over five years came in fiscal Q2 2027 (growth of 190.7%), and the weakest in fiscal Q2 2026 (a decline of 56.5%).
- Business Quant data shows OXM's EPS (Diluted) at $1.00 (Q1 2027), -$0.47 (Q4 2026) and -$4.28 (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.14 Bn | 19.13 Bn | 5.39 Bn | 0.72 |
| 2 | Tapestry | 22.87 Bn | 18.83 Bn | 1.56 Bn | 1.65 |
| 3 | Ralph Lauren | 21.39 Bn | 13.49 Bn | 1.44 Bn | 4.28 |
| 4 | Deckers Outdoor | 11.06 Bn | 3.93 Bn | - | - |
| 5 | Lululemon Athletica | 10.32 Bn | 4.58 Bn | 1.46 Bn | 2.92 |
| 6 | Levi Strauss | 7.62 Bn | 4.28 Bn | 979.10 Mn | 0.22 |
| 7 | Gildan Activewear | 6.55 Bn | 5.54 Bn | 459.76 Mn | -0.31 |
| 8 | Birkenstock Holding | 6.07 Bn | 4.38 Bn | 493.89 Mn | 0.68 |
| 9 | Crocs | 5.90 Bn | 5.31 Bn | 700.71 Mn | 4.13 |
| 10 | Oxford Industries | 374.46 Mn | 339.97 Mn | 291.13 Mn | 3.25 |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 3.25 |
| May 2, 2026 | 1.00 |
| Jan 31, 2026 | -0.47 |
| Nov 1, 2025 | -4.28 |
| Aug 2, 2025 | 1.12 |
| May 3, 2025 | 1.70 |
| Feb 1, 2025 | 1.13 |
| Nov 2, 2024 | -0.25 |
| Aug 3, 2024 | 2.57 |
| May 4, 2024 | 2.42 |
| Feb 3, 2024 | -3.78 |
| Oct 28, 2023 | 0.68 |
| Jul 29, 2023 | 3.22 |
| Apr 29, 2023 | 3.64 |
| Jan 28, 2023 | 1.97 |
| Oct 29, 2022 | 1.22 |
| Jul 30, 2022 | 3.49 |
| Apr 30, 2022 | 3.45 |
| Jan 29, 2022 | 1.51 |
| Oct 30, 2021 | 1.54 |
Oxford Industries EPS (Diluted) 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=eps-diluted&ticker=OXM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=OXM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();