Duluth Holdings (DLTH) Accumulated Expenses (2016 - 2026)
Duluth Holdings' Accumulated Expenses came in at $29.48 million for fiscal Q2 2027 (quarter ended Aug 2, 2026), down 11.4% from $33.26 million a year earlier and down 14.2% from the prior quarter.
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Analysis
Duluth Holdings (DLTH) Accumulated Expenses (2016 - 2026) Analysis & Trends
At the end of FY2026 (ended Feb 1, 2026), Duluth Holdings' Accumulated Expenses was $39.87 million, up 11.7% from FY2025.
- Accumulated Expenses carries a five-year compound annual growth rate of 1.1% (FY2021 to FY2026).
- Going back by fiscal year, Accumulated Expenses was $35.68 million in FY2025 (+4.6%), $34.11 million in FY2024 (-16.4%), $40.82 million in FY2023 (-14.1%) and $47.5 million in FY2022 (+26.1%).
- The fiscal Q2 2027 figure represents the lowest quarterly Accumulated Expenses since fiscal Q1 2026.
- Year-over-year, Accumulated Expenses increased in six of the last eight quarters, with growth averaging 6.2%.
- The fastest year-over-year change in Accumulated Expenses over five years came in fiscal Q3 2022 (growth of 29.1%), and the weakest in fiscal Q3 2023 (a decline of 16.8%).
- Business Quant data shows DLTH's Accumulated Expenses at $34.37 million (Q1 2027), $39.87 million (Q4 2026) and $32.92 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 59.22 Bn | 25.42 Bn | 4.80 Bn |
| 2 | Tapestry | 27.73 Bn | 23.69 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 24.01 Bn | 15.93 Bn | 1.63 Bn |
| 4 | Lululemon Athletica | 12.77 Bn | 7.02 Bn | 1.46 Bn |
| 5 | Deckers Outdoor | 12.28 Bn | 5.48 Bn | 895.11 Mn |
| 6 | Levi Strauss | 9.33 Bn | 5.91 Bn | 1.07 Bn |
| 7 | V F | 8.24 Bn | 4.84 Bn | 1.49 Bn |
| 8 | Crocs | 7.62 Bn | 7.03 Bn | 689.73 Mn |
| 9 | Birkenstock Holding | 7.23 Bn | 5.55 Bn | 493.89 Mn |
| 10 | Duluth Holdings | 134.92 Mn | 77.47 Mn | 88.36 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 29.48 Mn |
| May 3, 2026 | 34.37 Mn |
| Feb 1, 2026 | 39.87 Mn |
| Nov 2, 2025 | 32.92 Mn |
| Aug 3, 2025 | 33.26 Mn |
| May 4, 2025 | 27.54 Mn |
| Feb 2, 2025 | 35.68 Mn |
| Oct 27, 2024 | 36.25 Mn |
| Jul 28, 2024 | 30.07 Mn |
| Apr 28, 2024 | 26.37 Mn |
| Jan 28, 2024 | 34.11 Mn |
| Oct 29, 2023 | 31.78 Mn |
| Jul 30, 2023 | 28.22 Mn |
| Apr 30, 2023 | 30.92 Mn |
| Jan 29, 2023 | 40.82 Mn |
| Oct 30, 2022 | 34.80 Mn |
| Jul 31, 2022 | 28.96 Mn |
| May 1, 2022 | 32.21 Mn |
| Jan 30, 2022 | 47.50 Mn |
| Oct 31, 2021 | 41.83 Mn |
API Access
Duluth Holdings 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=accumulated-expenses&ticker=DLTH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=accumulated-expenses&ticker=DLTH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();