Duluth Holdings (DLTH) Revenue (2014 - 2026)
Duluth Holdings (DLTH) reported Revenue of $121.39 million for fiscal Q2 2027 (quarter ended Aug 2, 2026), down 7.8% from $131.72 million a year earlier but up 23.1% from the prior quarter.
Duluth Holdings (DLTH) Revenue (2014 - 2026) Analysis & Trends
Over the twelve months ended Aug 2, 2026, Duluth Holdings' Revenue came in at $550.75 million, down 8.6% year-over-year; for FY2026 (ended Feb 1, 2026), it came in at $565.18 million, down 9.8% from FY2025.
- Revenue has declined for four consecutive fiscal years, with a five-year compound annual growth rate of -2.4% (FY2021 to FY2026).
- By fiscal year, Revenue came in at $626.63 million in FY2025 (-3.1%), $646.68 million in FY2024 (-1.0%), $653.31 million in FY2023 (-6.5%) and $698.58 million in FY2022 (+9.4%).
- Five-year quarterly Revenue spans a low of $98.59 million in fiscal Q1 2027 and a high of $270.76 million in fiscal Q4 2022.
- Year over year, Revenue has now declined in each of the last eight quarters, with an average decline of 7.6% over the last eight quarters.
- The high point for year-over-year Revenue in five years was fiscal Q3 2022 (growth of 7.2%); the low point was fiscal Q1 2026 (a decline of 12.0%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $98.59 million (Q1 2027), $215.89 million (Q4 2026) and $114.87 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.94 Bn | 19.93 Bn | 5.39 Bn | 10.97 Bn |
| 2 | Tapestry | 22.74 Bn | 18.69 Bn | 1.56 Bn | 1.88 Bn |
| 3 | Ralph Lauren | 21.47 Bn | 13.57 Bn | 1.44 Bn | 1.96 Bn |
| 4 | Deckers Outdoor | 11.15 Bn | 4.02 Bn | - | - |
| 5 | Lululemon Athletica | 10.72 Bn | 4.97 Bn | 1.46 Bn | 2.42 Bn |
| 6 | Levi Strauss | 7.64 Bn | 4.29 Bn | 979.10 Mn | 1.56 Bn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 1.58 Bn |
| 8 | Birkenstock Holding | 6.06 Bn | 4.37 Bn | 493.89 Mn | 836.35 Mn |
| 9 | Crocs | 5.89 Bn | 5.30 Bn | 700.71 Mn | 1.18 Bn |
| 10 | Duluth Holdings | 136.47 Mn | 76.26 Mn | 88.36 Mn | 121.39 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 121.39 Mn |
| May 3, 2026 | 98.59 Mn |
| Feb 1, 2026 | 215.89 Mn |
| Nov 2, 2025 | 114.87 Mn |
| Aug 3, 2025 | 131.72 Mn |
| May 4, 2025 | 102.70 Mn |
| Feb 2, 2025 | 241.27 Mn |
| Oct 27, 2024 | 127.06 Mn |
| Jul 28, 2024 | 141.62 Mn |
| Apr 28, 2024 | 116.68 Mn |
| Jan 28, 2024 | 245.61 Mn |
| Oct 29, 2023 | 138.21 Mn |
| Jul 30, 2023 | 139.10 Mn |
| Apr 30, 2023 | 123.76 Mn |
| Jan 29, 2023 | 241.77 Mn |
| Oct 30, 2022 | 147.13 Mn |
| Jul 31, 2022 | 141.51 Mn |
| May 1, 2022 | 122.90 Mn |
| Jan 30, 2022 | 270.76 Mn |
| Oct 31, 2021 | 145.28 Mn |
Duluth Holdings Revenue 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=revenue&ticker=DLTH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=DLTH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();