Duluth Holdings (DLTH) Other Accumulated Expenses (2015 - 2026)
Duluth Holdings (DLTH) reported Other Accumulated Expenses of $9.14 million for fiscal Q2 2027 (quarter ended Aug 2, 2026), down 25.8% from $12.32 million a year earlier but up 16.7% from the prior quarter.
Duluth Holdings (DLTH) Other Accumulated Expenses (2015 - 2026) Analysis & Trends
At the end of FY2026 (ended Feb 1, 2026), Duluth Holdings posted Other Accumulated Expenses of $7.4 million, down 42.0% from FY2025.
- Other Accumulated Expenses has a five-year compound annual growth rate of 1.8% (FY2021 to FY2026).
- By fiscal year, Other Accumulated Expenses came in at $12.75 million in FY2025 (+22.5%), $10.4 million in FY2024 (+38.5%), $7.51 million in FY2023 (-18.1%) and $9.17 million in FY2022 (+35.4%).
- Five-year quarterly Other Accumulated Expenses spans a low of $3.65 million in fiscal Q2 2023 and a high of $12.75 million in fiscal Q4 2025.
- Year over year, Other Accumulated Expenses gained in six of the last eight quarters, with growth averaging 4.7%.
- The high point for year-over-year Other Accumulated Expenses in five years was fiscal Q2 2024 (growth of 121.4%); the low point was fiscal Q4 2026 (a decline of 42.0%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $7.83 million (Q1 2027), $7.4 million (Q4 2026) and $11.86 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 50.34 Bn | 16.54 Bn | 4.80 Bn |
| 2 | Tapestry | 23.66 Bn | 19.62 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 21.85 Bn | 13.95 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 11.26 Bn | 4.14 Bn | - |
| 5 | Lululemon Athletica | 10.07 Bn | 4.32 Bn | 1.46 Bn |
| 6 | Levi Strauss | 7.67 Bn | 4.32 Bn | 979.10 Mn |
| 7 | Gildan Activewear | 6.27 Bn | 5.26 Bn | 459.76 Mn |
| 8 | Birkenstock Holding | 6.13 Bn | 4.43 Bn | 493.89 Mn |
| 9 | Crocs | 5.68 Bn | 5.09 Bn | 700.71 Mn |
| 10 | Duluth Holdings | 136.12 Mn | 75.92 Mn | 88.36 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 9.14 Mn |
| May 3, 2026 | 7.83 Mn |
| Feb 1, 2026 | 7.40 Mn |
| Nov 2, 2025 | 11.86 Mn |
| Aug 3, 2025 | 12.32 Mn |
| May 4, 2025 | 6.94 Mn |
| Feb 2, 2025 | 12.75 Mn |
| Oct 27, 2024 | 9.37 Mn |
| Jul 28, 2024 | 10.41 Mn |
| Apr 28, 2024 | 5.93 Mn |
| Jan 28, 2024 | 10.40 Mn |
| Oct 29, 2023 | 8.69 Mn |
| Jul 30, 2023 | 8.09 Mn |
| Apr 30, 2023 | 6.57 Mn |
| Jan 29, 2023 | 7.51 Mn |
| Oct 30, 2022 | 4.99 Mn |
| Jul 31, 2022 | 3.65 Mn |
| May 1, 2022 | 4.17 Mn |
| Jan 30, 2022 | 9.17 Mn |
| Oct 31, 2021 | 8.46 Mn |
Duluth Holdings Other Accumulated 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=other-accumulated-expenses&ticker=DLTH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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=other-accumulated-expenses&ticker=DLTH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();