Duluth Holdings (DLTH) Total Current Liabilities (2015 - 2026)
Duluth Holdings' Total Current Liabilities came in at $97.27 million for fiscal Q2 2027 (quarter ended Aug 2, 2026), down 24.6% from $129.05 million a year earlier and down 3.5% from the prior quarter.
Duluth Holdings (DLTH) Total Current Liabilities (2015 - 2026) Analysis & Trends
At the end of FY2026 (ended Feb 1, 2026), Duluth Holdings' Total Current Liabilities was $108.25 million, down 15.9% from FY2025.
- Total Current Liabilities carries a five-year compound annual growth rate of 2.5% (FY2021 to FY2026).
- Going back by fiscal year, Total Current Liabilities was $128.64 million in FY2025 (+21.8%), $105.63 million in FY2024 (-10.7%), $118.3 million in FY2023 (+2.0%) and $116 million in FY2022 (+21.2%).
- The fiscal Q2 2027 figure represents the lowest quarterly Total Current Liabilities since fiscal Q1 2025.
- Year-over-year, Total Current Liabilities has declined for four consecutive quarters, with growth averaging 5.4% over the last eight quarters.
- The fastest year-over-year change in Total Current Liabilities over five years came in fiscal Q1 2026 (growth of 64.3%), and the weakest in fiscal Q1 2027 (a decline of 35.8%).
- Business Quant data shows DLTH's Total Current Liabilities at $100.77 million (Q1 2027), $108.25 million (Q4 2026) and $177.68 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.94 Bn | 19.93 Bn | 5.39 Bn | 12.55 Bn |
| 2 | Tapestry | 22.74 Bn | 18.69 Bn | 1.56 Bn | 1.65 Bn |
| 3 | Ralph Lauren | 21.47 Bn | 13.57 Bn | 1.44 Bn | 1.88 Bn |
| 4 | Deckers Outdoor | 11.15 Bn | 4.02 Bn | - | 804.07 Mn |
| 5 | Lululemon Athletica | 10.72 Bn | 4.97 Bn | 1.46 Bn | 1.80 Bn |
| 6 | Levi Strauss | 7.64 Bn | 4.29 Bn | 979.10 Mn | 1.85 Bn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 2.35 Bn |
| 8 | Birkenstock Holding | 6.06 Bn | 4.37 Bn | 493.89 Mn | 37.55 Mn |
| 9 | Crocs | 5.89 Bn | 5.30 Bn | 700.71 Mn | 728.03 Mn |
| 10 | Duluth Holdings | 136.47 Mn | 76.26 Mn | 88.36 Mn | 97.27 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 97.27 Mn |
| May 3, 2026 | 100.77 Mn |
| Feb 1, 2026 | 108.25 Mn |
| Nov 2, 2025 | 177.68 Mn |
| Aug 3, 2025 | 129.05 Mn |
| May 4, 2025 | 156.95 Mn |
| Feb 2, 2025 | 128.64 Mn |
| Oct 27, 2024 | 203.65 Mn |
| Jul 28, 2024 | 127.03 Mn |
| Apr 28, 2024 | 95.52 Mn |
| Jan 28, 2024 | 105.63 Mn |
| Oct 29, 2023 | 141.24 Mn |
| Jul 30, 2023 | 107.24 Mn |
| Apr 30, 2023 | 87.85 Mn |
| Jan 29, 2023 | 118.30 Mn |
| Oct 30, 2022 | 141.28 Mn |
| Jul 31, 2022 | 100.06 Mn |
| May 1, 2022 | 108.15 Mn |
| Jan 30, 2022 | 116.00 Mn |
| Oct 31, 2021 | 116.71 Mn |
Duluth Holdings Total Current Liabilities 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=total-current-liabilities&ticker=DLTH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=DLTH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();