Duluth Holdings (DLTH) Shares Outstanding (Diluted) (2014 - 2026)
Duluth Holdings (DLTH) posted Shares Outstanding (Diluted) of 36.38 million for fiscal Q2 2027 (quarter ended Aug 2, 2026), up 5.0% from 34.66 million a year earlier and up 4.8% from the prior quarter.
Duluth Holdings (DLTH) Shares Outstanding (Diluted) (2014 - 2026) Analysis & Trends
For FY2026 (ended Feb 1, 2026), Duluth Holdings' Shares Outstanding (Diluted) came in at 34.62 million, up 3.7% from FY2025.
- Annual Shares Outstanding (Diluted) shows a five-year compound annual growth rate of 1.2% (FY2021 to FY2026).
- In prior fiscal years, Duluth Holdings' Shares Outstanding (Diluted) was 33.37 million in FY2025 (+1.3%), 32.96 million in FY2024 (-0.1%), 32.99 million in FY2023 (+0.4%) and 32.85 million in FY2022 (+0.8%).
- The fiscal Q2 2027 figure stands as the highest quarterly Shares Outstanding (Diluted) in data going back to fiscal Q3 2015.
- On a year-over-year basis, Shares Outstanding (Diluted) has increased in each of the last ten quarters, with growth averaging 2.9% over the last eight quarters.
- The strongest year-over-year quarter for Shares Outstanding (Diluted) in the past five years was fiscal Q2 2027, with growth of 5.0%; the weakest was fiscal Q2 2023, with a decline of 0.1%.
- According to Business Quant data, Shares Outstanding (Diluted) for the three prior fiscal quarters was 34.71 million (Q1 2027), 34.62 million (Q4 2026) and 34.52 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn | 1.48 Bn |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn | 210.20 Mn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn | 61.30 Mn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - | 144.29 Mn |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn | 112.92 Mn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn | 389.63 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 160.20 Mn |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn | 186.51 Mn |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn | 49.63 Mn |
| 10 | Duluth Holdings | 135.08 Mn | 74.88 Mn | 88.36 Mn | 36.38 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 36.38 Mn |
| May 3, 2026 | 34.71 Mn |
| Feb 1, 2026 | 34.62 Mn |
| Nov 2, 2025 | 34.52 Mn |
| Aug 3, 2025 | 34.66 Mn |
| May 4, 2025 | 33.71 Mn |
| Feb 2, 2025 | 33.37 Mn |
| Oct 27, 2024 | 33.45 Mn |
| Jul 28, 2024 | 33.37 Mn |
| Apr 28, 2024 | 33.09 Mn |
| Jan 28, 2024 | 32.96 Mn |
| Oct 29, 2023 | 32.99 Mn |
| Jul 30, 2023 | 32.95 Mn |
| Apr 30, 2023 | 32.87 Mn |
| Jan 29, 2023 | 32.99 Mn |
| Oct 30, 2022 | 32.79 Mn |
| Jul 31, 2022 | 32.77 Mn |
| May 1, 2022 | 32.71 Mn |
| Jan 30, 2022 | 32.85 Mn |
| Oct 31, 2021 | 32.76 Mn |
Duluth Holdings Shares Outstanding (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=shares-outstanding-diluted&ticker=DLTH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=DLTH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();