Duluth Holdings (DLTH) Gross Margin (2014 - 2026)
Duluth Holdings (DLTH) reported Gross Margin of 72.79% for fiscal Q2 2027 (quarter ended Aug 2, 2026), up 18.11 percentage points from 54.68% a year earlier and up 15.35 percentage points from the prior quarter.
Duluth Holdings (DLTH) Gross Margin (2014 - 2026) Analysis & Trends
Over the twelve months ended Aug 2, 2026, Duluth Holdings' Gross Margin came in at 58.33%, up 8.84 percentage points year-over-year; for FY2026 (ended Feb 1, 2026), it was 53.37%, up 4.13 percentage points from FY2025.
- Gross Margin has a five-year change of +1.47 percentage points (FY2021 to FY2026).
- By fiscal year, Gross Margin came in at 49.23% in FY2025 (-1.02 pp), 50.25% in FY2024 (-2.32 pp), 52.57% in FY2023 (-1.44 pp) and 54.01% in FY2022 (+2.11 pp).
- The fiscal Q2 2027 figure ranks as the highest quarterly Gross Margin in data going back to fiscal Q3 2015.
- Year over year, Gross Margin has now increased in each of the last five quarters, with an average year-over-year change of +4.20 percentage points over the last eight quarters.
- The high point for year-over-year Gross Margin in five years was fiscal Q2 2027 (a gain of 18.11 percentage points); the low point was fiscal Q3 2023 (a drop of 5.30 percentage points).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at 57.44% (Q1 2027), 52.99% (Q4 2026) and 53.84% (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.94 Bn | 19.93 Bn | 5.39 Bn | 49.15% |
| 2 | Tapestry | 22.74 Bn | 18.69 Bn | 1.56 Bn | 83.32% |
| 3 | Ralph Lauren | 21.47 Bn | 13.57 Bn | 1.44 Bn | 73.69% |
| 4 | Deckers Outdoor | 11.15 Bn | 4.02 Bn | - | - |
| 5 | Lululemon Athletica | 10.72 Bn | 4.97 Bn | 1.46 Bn | 60.52% |
| 6 | Levi Strauss | 7.64 Bn | 4.29 Bn | 979.10 Mn | 62.68% |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 29.05% |
| 8 | Birkenstock Holding | 6.06 Bn | 4.37 Bn | 493.89 Mn | 59.05% |
| 9 | Crocs | 5.89 Bn | 5.30 Bn | 700.71 Mn | 59.41% |
| 10 | Duluth Holdings | 136.47 Mn | 76.26 Mn | 88.36 Mn | 72.79% |
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 72.79% |
| May 3, 2026 | 57.44% |
| Feb 1, 2026 | 52.99% |
| Nov 2, 2025 | 53.84% |
| Aug 3, 2025 | 54.68% |
| May 4, 2025 | 51.95% |
| Feb 2, 2025 | 44.13% |
| Oct 27, 2024 | 52.27% |
| Jul 28, 2024 | 52.25% |
| Apr 28, 2024 | 52.81% |
| Jan 28, 2024 | 48.22% |
| Oct 29, 2023 | 50.22% |
| Jul 30, 2023 | 51.39% |
| Apr 30, 2023 | 53.05% |
| Jan 29, 2023 | 51.22% |
| Oct 30, 2022 | 52.28% |
| Jul 31, 2022 | 53.43% |
| May 1, 2022 | 54.57% |
| Jan 30, 2022 | 53.81% |
| Oct 31, 2021 | 57.58% |
Duluth Holdings Gross Margin 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=gross-margin&ticker=DLTH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-margin", "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=gross-margin&ticker=DLTH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();