Duluth Holdings (DLTH) EPS (Basic) (2014 - 2026)
Duluth Holdings' EPS (Basic) was $0.52 in fiscal Q2 2027 (quarter ended Aug 2, 2026), compared with $0.04 a year earlier.
Duluth Holdings (DLTH) EPS (Basic) (2014 - 2026) Analysis & Trends
On a trailing twelve-month basis, Duluth Holdings' EPS (Basic) was $0.17 through Aug 2, 2026; for FY2026 (ended Feb 1, 2026), it came in at -$0.47.
- In earlier fiscal years, EPS (Basic) was -$1.31 in FY2025, -$0.30 in FY2024, $0.07 in FY2023 (-92.3%) and $0.91 in FY2022 (+117.6%).
- The fiscal Q2 2027 figure marks the highest quarterly EPS (Basic) since fiscal Q4 2022.
- Per Business Quant data, DLTH's EPS (Basic) in the three fiscal quarters before Q2 2027 was -$0.29 (Q1 2027), $0.22 (Q4 2026) and -$0.29 (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Basic) (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.94 Bn | 19.93 Bn | 5.39 Bn | 0.72 |
| 2 | Tapestry | 22.74 Bn | 18.69 Bn | 1.56 Bn | 1.70 |
| 3 | Ralph Lauren | 21.47 Bn | 13.57 Bn | 1.44 Bn | 4.36 |
| 4 | Deckers Outdoor | 11.15 Bn | 4.02 Bn | - | - |
| 5 | Lululemon Athletica | 10.72 Bn | 4.97 Bn | 1.46 Bn | 2.92 |
| 6 | Levi Strauss | 7.64 Bn | 4.29 Bn | 979.10 Mn | 0.23 |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | -0.31 |
| 8 | Birkenstock Holding | 6.06 Bn | 4.37 Bn | 493.89 Mn | 0.68 |
| 9 | Crocs | 5.89 Bn | 5.30 Bn | 700.71 Mn | 4.17 |
| 10 | Duluth Holdings | 136.47 Mn | 76.26 Mn | 88.36 Mn | 0.52 |
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 0.52 |
| May 3, 2026 | -0.29 |
| Feb 1, 2026 | 0.22 |
| Nov 2, 2025 | -0.29 |
| Aug 3, 2025 | 0.04 |
| May 4, 2025 | -0.45 |
| Feb 2, 2025 | -0.17 |
| Oct 27, 2024 | -0.84 |
| Jul 28, 2024 | -0.06 |
| Apr 28, 2024 | -0.24 |
| Jan 28, 2024 | 0.19 |
| Oct 29, 2023 | -0.32 |
| Jul 30, 2023 | -0.06 |
| Apr 30, 2023 | -0.12 |
| Jan 29, 2023 | 0.23 |
| Oct 30, 2022 | -0.19 |
| Jul 31, 2022 | 0.07 |
| May 1, 2022 | -0.04 |
| Jan 30, 2022 | 0.53 |
| Oct 31, 2021 | 0.09 |
Duluth Holdings EPS (Basic) 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-basic&ticker=DLTH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-basic", "ticker": "DLTH", "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-basic&ticker=DLTH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();