Duluth Holdings (DLTH) Market Capitalization (2016 - 2026)
Duluth Holdings' Market Capitalization came in at $141.31 million for fiscal Q2 2027 (quarter ended Aug 2, 2026), up 101.1% from $70.29 million a year earlier and up 19.9% from the prior quarter.
Duluth Holdings (DLTH) Market Capitalization (2016 - 2026) Analysis & Trends
For FY2026 (ended Feb 1, 2026), Duluth Holdings' Market Capitalization was $80.46 million, down 13.4% from FY2025.
- Market Capitalization has declined in each of the last four fiscal years, with a five-year compound annual growth rate of -26.2% (FY2021 to FY2026).
- Going back by fiscal year, Market Capitalization was $92.89 million in FY2025 (-38.9%), $152.01 million in FY2024 (-24.5%), $201.23 million in FY2023 (-53.7%) and $434.61 million in FY2022 (+18.2%).
- The fiscal Q2 2027 figure represents the highest quarterly Market Capitalization since fiscal Q4 2024.
- Year-over-year, Market Capitalization increased in two of the last eight quarters, with growth averaging 0.7%.
- The fastest year-over-year change in Market Capitalization over five years came in fiscal Q1 2027 (growth of 105.4%), and the weakest in fiscal Q1 2026 (a decline of 58.7%).
- Business Quant data shows DLTH's Market Capitalization at $117.9 million (Q1 2027), $80.46 million (Q4 2026) and $91.66 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 53.94 Bn | 19.93 Bn | 5.39 Bn |
| 2 | Tapestry | 22.74 Bn | 18.69 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 21.47 Bn | 13.57 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 11.15 Bn | 4.02 Bn | - |
| 5 | Lululemon Athletica | 10.72 Bn | 4.97 Bn | 1.46 Bn |
| 6 | Levi Strauss | 7.64 Bn | 4.29 Bn | 979.10 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn |
| 8 | Birkenstock Holding | 6.06 Bn | 4.37 Bn | 493.89 Mn |
| 9 | Crocs | 5.89 Bn | 5.30 Bn | 700.71 Mn |
| 10 | Duluth Holdings | 136.47 Mn | 76.26 Mn | 88.36 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 141.31 Mn |
| May 3, 2026 | 117.90 Mn |
| Feb 1, 2026 | 80.46 Mn |
| Nov 2, 2025 | 91.66 Mn |
| Aug 3, 2025 | 70.29 Mn |
| May 4, 2025 | 57.40 Mn |
| Feb 2, 2025 | 92.89 Mn |
| Oct 27, 2024 | 118.96 Mn |
| Jul 28, 2024 | 120.83 Mn |
| Apr 28, 2024 | 138.89 Mn |
| Jan 28, 2024 | 152.01 Mn |
| Oct 29, 2023 | 159.59 Mn |
| Jul 30, 2023 | 215.09 Mn |
| Apr 30, 2023 | 194.75 Mn |
| Jan 29, 2023 | 201.23 Mn |
| Oct 30, 2022 | 257.87 Mn |
| Jul 31, 2022 | 288.98 Mn |
| May 1, 2022 | 367.07 Mn |
| Jan 30, 2022 | 434.61 Mn |
| Oct 31, 2021 | 425.64 Mn |
Duluth Holdings Market Capitalization 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=market-capitalization&ticker=DLTH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "market-capitalization", "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=market-capitalization&ticker=DLTH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();