Duluth Holdings (DLTH) Shares Outstanding (Entity) (2014 - 2026)
Duluth Holdings' Shares Outstanding (Entity) came in at 34.64 million for fiscal Q2 2027 (quarter ended Aug 2, 2026), up 4.0% from 33.31 million a year earlier but down 0.1% from the prior quarter.
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Analysis
Duluth Holdings (DLTH) Shares Outstanding (Entity) (2014 - 2026) Analysis & Trends
For FY2026 (ended Feb 1, 2026), Duluth Holdings' Shares Outstanding (Entity) was 33.38 million, up 4.9% from FY2025.
- Shares Outstanding (Entity) has increased in each of the last six fiscal years, with a five-year compound annual growth rate of 2.5% (FY2021 to FY2026).
- Going back by fiscal year, Shares Outstanding (Entity) was 31.81 million in FY2025 (+2.5%), 31.02 million in FY2024 (+3.1%), 30.08 million in FY2023 (+1.3%) and 29.71 million in FY2022 (+0.8%).
- The five-year range for quarterly Shares Outstanding (Entity) is 29.7 million (fiscal Q3 2022) to 34.68 million (fiscal Q1 2027).
- Year-over-year, Shares Outstanding (Entity) has increased for 26 consecutive quarters, with growth averaging 4.1% over the last eight quarters.
- Across the past five years, year-over-year growth in Shares Outstanding (Entity) ran from 0.6% in fiscal Q1 2026 to 8.7% in fiscal Q1 2027.
- Business Quant data shows DLTH's Shares Outstanding (Entity) at 34.68 million (Q1 2027), 33.38 million (Q4 2026) and 33.33 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (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 | 200.40 Mn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn | 60.10 Mn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - | - |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn | 106.57 Mn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn | 385.98 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | - |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn | - |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn | 48.10 Mn |
| 10 | Duluth Holdings | 135.08 Mn | 74.88 Mn | 88.36 Mn | 34.64 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 34.64 Mn |
| May 3, 2026 | 34.68 Mn |
| Feb 1, 2026 | 33.38 Mn |
| Nov 2, 2025 | 33.33 Mn |
| Aug 3, 2025 | 33.31 Mn |
| May 4, 2025 | 31.89 Mn |
| Feb 2, 2025 | 31.81 Mn |
| Oct 27, 2024 | 31.81 Mn |
| Jul 28, 2024 | 31.72 Mn |
| Apr 28, 2024 | 31.71 Mn |
| Jan 28, 2024 | 31.02 Mn |
| Oct 29, 2023 | 31.11 Mn |
| Jul 30, 2023 | 31.22 Mn |
| Apr 30, 2023 | 31.11 Mn |
| Jan 29, 2023 | 30.08 Mn |
| Oct 30, 2022 | 30.06 Mn |
| Jul 31, 2022 | 29.98 Mn |
| May 1, 2022 | 29.97 Mn |
| Jan 30, 2022 | 29.71 Mn |
| Oct 31, 2021 | 29.70 Mn |
API Access
Duluth Holdings Shares Outstanding (Entity) 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-entity&ticker=DLTH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "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-entity&ticker=DLTH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();