Duluth Holdings (DLTH) Enterprise Value (2016 - 2026)
Duluth Holdings' Enterprise Value came in at $111.76 million for fiscal Q2 2027 (quarter ended Aug 2, 2026), up 81.4% from $61.61 million a year earlier and up 2.6% from the prior quarter.
Duluth Holdings (DLTH) Enterprise Value (2016 - 2026) Analysis & Trends
Over the trailing twelve months to Aug 2, 2026, Duluth Holdings reported Enterprise Value of $81.11 million, up 100.9% year-over-year; for FY2026 (ended Feb 1, 2026), it came in at $61.25 million, down 29.2% from FY2025.
- Enterprise Value has declined in each of the last four fiscal years, with a five-year compound annual growth rate of -28.1% (FY2021 to FY2026).
- Going back by fiscal year, Enterprise Value was $86.56 million in FY2025 (-25.9%), $116.8 million in FY2024 (-23.4%), $152.47 million in FY2023 (-57.0%) and $354.41 million in FY2022 (+11.5%).
- The fiscal Q2 2027 figure represents the highest quarterly Enterprise Value since fiscal Q1 2025.
- Year-over-year, Enterprise Value increased in two of the last eight quarters, with growth averaging 0.5%.
- The fastest year-over-year change in Enterprise Value over five years came in fiscal Q1 2027 (growth of 137.6%), and the weakest in fiscal Q1 2026 (a decline of 64.5%).
- Business Quant data shows DLTH's Enterprise Value at $108.96 million (Q1 2027), $61.25 million (Q4 2026) and $80.58 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 | 111.76 Mn |
| May 3, 2026 | 108.96 Mn |
| Feb 1, 2026 | 61.25 Mn |
| Nov 2, 2025 | 80.58 Mn |
| Aug 3, 2025 | 61.61 Mn |
| May 4, 2025 | 45.85 Mn |
| Feb 2, 2025 | 86.56 Mn |
| Oct 27, 2024 | 106.60 Mn |
| Jul 28, 2024 | 108.01 Mn |
| Apr 28, 2024 | 129.04 Mn |
| Jan 28, 2024 | 116.80 Mn |
| Oct 29, 2023 | 148.18 Mn |
| Jul 30, 2023 | 200.71 Mn |
| Apr 30, 2023 | 182.32 Mn |
| Jan 29, 2023 | 152.47 Mn |
| Oct 30, 2022 | 245.23 Mn |
| Jul 31, 2022 | 270.40 Mn |
| May 1, 2022 | 323.52 Mn |
| Jan 30, 2022 | 354.41 Mn |
| Oct 31, 2021 | 402.76 Mn |
Duluth Holdings Enterprise Value 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=enterprise-value&ticker=DLTH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=DLTH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();