Duluth Holdings (DLTH) Return on Sales [ROS] (2014 - 2026)
Duluth Holdings' Return on Sales [ROS] came in at 15.53% for fiscal Q2 2027 (quarter ended Aug 2, 2026), up 13.70 percentage points from 1.82% a year earlier and up 24.89 percentage points from the prior quarter.
Duluth Holdings (DLTH) Return on Sales [ROS] (2014 - 2026) Analysis & Trends
Over the trailing twelve months to Aug 2, 2026, Duluth Holdings reported Return on Sales [ROS] of 1.71%, up 7.72 percentage points year-over-year; for FY2026 (ended Feb 1, 2026), it was -1.80%, up 4.09 percentage points from FY2025.
- Return on Sales [ROS] carries a five-year change of -5.59 percentage points (FY2021 to FY2026).
- Going back by fiscal year, Return on Sales [ROS] was -5.88% in FY2025 (-4.40 pp), -1.48% in FY2024 (-2.43 pp), 0.95% in FY2023 (-5.36 pp) and 6.31% in FY2022 (+2.52 pp).
- The fiscal Q2 2027 figure represents the highest quarterly Return on Sales [ROS] in data going back to fiscal Q3 2015.
- Year-over-year, Return on Sales [ROS] has increased for five consecutive quarters, with an average year-over-year change of +2.08 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in fiscal Q2 2027 (a gain of 13.70 percentage points), and the weakest in fiscal Q3 2023 (a drop of 8.37 percentage points).
- Business Quant data shows DLTH's Return on Sales [ROS] at -9.36% (Q1 2027), 4.00% (Q4 2026) and -7.69% (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 59.22 Bn | 25.42 Bn | 4.80 Bn | 7.92% |
| 2 | Tapestry | 27.73 Bn | 23.69 Bn | 1.56 Bn | 23.57% |
| 3 | Ralph Lauren | 24.01 Bn | 15.93 Bn | 1.63 Bn | 16.58% |
| 4 | Lululemon Athletica | 12.77 Bn | 7.02 Bn | 1.46 Bn | 18.78% |
| 5 | Deckers Outdoor | 12.28 Bn | 5.48 Bn | 895.11 Mn | 26.30% |
| 6 | Levi Strauss | 9.33 Bn | 5.91 Bn | 1.07 Bn | 13.81% |
| 7 | V F | 8.24 Bn | 4.84 Bn | 1.49 Bn | 13.65% |
| 8 | Crocs | 7.62 Bn | 7.03 Bn | 689.73 Mn | 28.00% |
| 9 | Birkenstock Holding | 7.23 Bn | 5.55 Bn | 493.89 Mn | 28.22% |
| 10 | Duluth Holdings | 134.92 Mn | 77.47 Mn | 88.36 Mn | 15.53% |
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 15.53% |
| May 3, 2026 | -9.36% |
| Feb 1, 2026 | 4.00% |
| Nov 2, 2025 | -7.69% |
| Aug 3, 2025 | 1.82% |
| May 4, 2025 | -12.03% |
| Feb 2, 2025 | -1.76% |
| Oct 27, 2024 | -17.36% |
| Jul 28, 2024 | -1.13% |
| Apr 28, 2024 | -7.69% |
| Jan 28, 2024 | 3.60% |
| Oct 29, 2023 | -8.99% |
| Jul 30, 2023 | -1.04% |
| Apr 30, 2023 | -3.68% |
| Jan 29, 2023 | 4.42% |
| Oct 30, 2022 | -5.02% |
| Jul 31, 2022 | 2.73% |
| May 1, 2022 | -0.76% |
| Jan 30, 2022 | 8.96% |
| Oct 31, 2021 | 3.34% |
Duluth Holdings Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=DLTH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=DLTH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();