Duluth Holdings (DLTH) Total Debt (2015 - 2026)
Duluth Holdings (DLTH) posted Total Debt of $23.9 million for fiscal Q2 2027 (quarter ended Aug 2, 2026), down 58.3% from $57.25 million a year earlier and down 20.7% from the prior quarter.
Duluth Holdings (DLTH) Total Debt (2015 - 2026) Analysis & Trends
At the end of FY2026 (ended Feb 1, 2026), Duluth Holdings' Total Debt came in at $24.36 million, down 3.4% from FY2025.
- Annual Total Debt has declined for five consecutive fiscal years, with a five-year compound annual growth rate of -13.0% (FY2021 to FY2026).
- In prior fiscal years, Duluth Holdings' Total Debt was $25.21 million in FY2025 (-3.0%), $25.99 million in FY2024 (-2.6%), $26.68 million in FY2023 (-2.3%) and $27.3 million in FY2022 (-44.1%).
- The fiscal Q2 2027 figure stands as the lowest quarterly Total Debt since fiscal Q1 2019.
- On a year-over-year basis, Total Debt has declined in each of the last four quarters, with growth averaging 18.2% over the last eight quarters.
- The strongest year-over-year quarter for Total Debt in the past five years was fiscal Q1 2026, with growth of 141.9%; the weakest was fiscal Q3 2022, with a decline of 70.3%.
- According to Business Quant data, Total Debt for the three prior fiscal quarters was $30.14 million (Q1 2027), $24.36 million (Q4 2026) and $69.17 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.94 Bn | 19.93 Bn | 5.39 Bn | 7.94 Bn |
| 2 | Tapestry | 22.74 Bn | 18.69 Bn | 1.56 Bn | - |
| 3 | Ralph Lauren | 21.47 Bn | 13.57 Bn | 1.44 Bn | 1.24 Bn |
| 4 | Deckers Outdoor | 11.15 Bn | 4.02 Bn | - | - |
| 5 | Lululemon Athletica | 10.72 Bn | 4.97 Bn | 1.46 Bn | - |
| 6 | Levi Strauss | 7.64 Bn | 4.29 Bn | 979.10 Mn | 1.04 Bn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 4.53 Bn |
| 8 | Birkenstock Holding | 6.06 Bn | 4.37 Bn | 493.89 Mn | 1.97 Bn |
| 9 | Crocs | 5.89 Bn | 5.30 Bn | 700.71 Mn | 1.31 Bn |
| 10 | Duluth Holdings | 136.47 Mn | 76.26 Mn | 88.36 Mn | 23.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 23.90 Mn |
| May 3, 2026 | 30.14 Mn |
| Feb 1, 2026 | 24.36 Mn |
| Nov 2, 2025 | 69.17 Mn |
| Aug 3, 2025 | 57.25 Mn |
| May 4, 2025 | 89.01 Mn |
| Feb 2, 2025 | 25.21 Mn |
| Oct 27, 2024 | 69.42 Mn |
| Jul 28, 2024 | 25.61 Mn |
| Apr 28, 2024 | 36.80 Mn |
| Jan 28, 2024 | 25.99 Mn |
| Oct 29, 2023 | 62.17 Mn |
| Jul 30, 2023 | 26.35 Mn |
| Apr 30, 2023 | 26.51 Mn |
| Jan 29, 2023 | 26.68 Mn |
| Oct 30, 2022 | 36.85 Mn |
| Jul 31, 2022 | 27.00 Mn |
| May 1, 2022 | 27.15 Mn |
| Jan 30, 2022 | 27.30 Mn |
| Oct 31, 2021 | 27.45 Mn |
Duluth Holdings Total Debt 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-debt&ticker=DLTH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "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-debt&ticker=DLTH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();