Duluth Holdings (DLTH) Operating Expenses (2014 - 2026)
Duluth Holdings (DLTH) posted Operating Expenses of $69.52 million for fiscal Q2 2027 (quarter ended Aug 2, 2026), down 0.1% from $69.62 million a year earlier but up 10.1% from the prior quarter.
Duluth Holdings (DLTH) Operating Expenses (2014 - 2026) Analysis & Trends
For the trailing twelve months through Aug 2, 2026, Operating Expenses at Duluth Holdings was $309.12 million, down 7.4% year-over-year; for FY2026 (ended Feb 1, 2026), it came in at $311.77 million, down 9.7% from FY2025.
- Annual Operating Expenses shows a five-year compound annual growth rate of 0.3% (FY2021 to FY2026).
- In prior fiscal years, Duluth Holdings' Operating Expenses was $345.37 million in FY2025 (+3.2%), $334.54 million in FY2024 (-0.8%), $337.2 million in FY2023 (+1.2%) and $333.23 million in FY2022 (+8.4%).
- Quarterly Operating Expenses has run from a low of $63.16 million in fiscal Q1 2027 to a high of $121.45 million in fiscal Q4 2022 over five years.
- On a year-over-year basis, Operating Expenses has declined in each of the last six quarters, with an average decline of 4.3% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was fiscal Q3 2022, with growth of 15.5%; the weakest was fiscal Q3 2026, with a decline of 20.1%.
- According to Business Quant data, Operating Expenses for the three prior fiscal quarters was $63.16 million (Q1 2027), $105.77 million (Q4 2026) and $70.68 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.94 Bn | 19.93 Bn | 5.39 Bn | 4.08 Bn |
| 2 | Tapestry | 22.74 Bn | 18.69 Bn | 1.56 Bn | 1.12 Bn |
| 3 | Ralph Lauren | 21.47 Bn | 13.57 Bn | 1.44 Bn | 1.10 Bn |
| 4 | Deckers Outdoor | 11.15 Bn | 4.02 Bn | - | - |
| 5 | Lululemon Athletica | 10.72 Bn | 4.97 Bn | 1.46 Bn | 1.01 Bn |
| 6 | Levi Strauss | 7.64 Bn | 4.29 Bn | 979.10 Mn | 856.90 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 283.86 Mn |
| 8 | Birkenstock Holding | 6.06 Bn | 4.37 Bn | 493.89 Mn | -37.80 Mn |
| 9 | Crocs | 5.89 Bn | 5.30 Bn | 700.71 Mn | 415.03 Mn |
| 10 | Duluth Holdings | 136.47 Mn | 76.26 Mn | 88.36 Mn | 69.52 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 69.52 Mn |
| May 3, 2026 | 63.16 Mn |
| Feb 1, 2026 | 105.77 Mn |
| Nov 2, 2025 | 70.68 Mn |
| Aug 3, 2025 | 69.62 Mn |
| May 4, 2025 | 65.16 Mn |
| Feb 2, 2025 | 110.72 Mn |
| Oct 27, 2024 | 88.46 Mn |
| Jul 28, 2024 | 75.59 Mn |
| Apr 28, 2024 | 70.60 Mn |
| Jan 28, 2024 | 109.58 Mn |
| Oct 29, 2023 | 81.83 Mn |
| Jul 30, 2023 | 72.93 Mn |
| Apr 30, 2023 | 70.20 Mn |
| Jan 29, 2023 | 113.16 Mn |
| Oct 30, 2022 | 84.31 Mn |
| Jul 31, 2022 | 71.74 Mn |
| May 1, 2022 | 67.99 Mn |
| Jan 30, 2022 | 121.45 Mn |
| Oct 31, 2021 | 78.79 Mn |
Duluth Holdings Operating Expenses 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=operating-expenses&ticker=DLTH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=DLTH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();