Duluth Holdings (DLTH) Payables (2015 - 2026)
Duluth Holdings' Payables was $48.39 million in fiscal Q2 2027 (quarter ended Aug 2, 2026), up 8.6% from $44.57 million a year earlier and up 17.7% from the prior quarter.
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Analysis
Duluth Holdings (DLTH) Payables (2015 - 2026) Analysis & Trends
At the end of FY2026 (ended Feb 1, 2026), Payables at Duluth Holdings came in at $49.25 million, down 34.2% from FY2025.
- Payables shows a five-year compound annual growth rate of 7.5% (FY2021 to FY2026).
- In earlier fiscal years, Payables was $74.81 million in FY2025 (+44.0%), $51.97 million in FY2024 (-9.3%), $57.32 million in FY2023 (+24.3%) and $46.1 million in FY2022 (+34.5%).
- Quarterly Payables has moved between $36.91 million (fiscal Q1 2024) and $105.46 million (fiscal Q3 2025) over five years.
- Compared with a year earlier, Payables was higher in four of the last eight quarters, with growth averaging 7.0%.
- The best year-over-year quarter for Payables over five years was fiscal Q3 2025 (growth of 94.0%); the worst was fiscal Q2 2026 (a decline of 43.2%).
- Per Business Quant data, DLTH's Payables in the three fiscal quarters before Q2 2027 was $41.12 million (Q1 2027), $49.25 million (Q4 2026) and $81.19 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.94 Bn | 19.93 Bn | 5.39 Bn | 3.60 Bn |
| 2 | Tapestry | 22.74 Bn | 18.69 Bn | 1.56 Bn | 582.30 Mn |
| 3 | Ralph Lauren | 21.47 Bn | 13.57 Bn | 1.44 Bn | 556.70 Mn |
| 4 | Deckers Outdoor | 11.15 Bn | 4.02 Bn | - | 384.53 Mn |
| 5 | Lululemon Athletica | 10.72 Bn | 4.97 Bn | 1.46 Bn | 346.72 Mn |
| 6 | Levi Strauss | 7.64 Bn | 4.29 Bn | 979.10 Mn | 598.50 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 1.03 Bn |
| 8 | Birkenstock Holding | 6.06 Bn | 4.37 Bn | 493.89 Mn | 204.02 Mn |
| 9 | Crocs | 5.89 Bn | 5.30 Bn | 700.71 Mn | 262.51 Mn |
| 10 | Duluth Holdings | 136.47 Mn | 76.26 Mn | 88.36 Mn | 48.39 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 48.39 Mn |
| May 3, 2026 | 41.12 Mn |
| Feb 1, 2026 | 49.25 Mn |
| Nov 2, 2025 | 81.19 Mn |
| Aug 3, 2025 | 44.57 Mn |
| May 4, 2025 | 46.89 Mn |
| Feb 2, 2025 | 74.81 Mn |
| Oct 27, 2024 | 105.46 Mn |
| Jul 28, 2024 | 78.49 Mn |
| Apr 28, 2024 | 38.29 Mn |
| Jan 28, 2024 | 51.97 Mn |
| Oct 29, 2023 | 54.35 Mn |
| Jul 30, 2023 | 60.07 Mn |
| Apr 30, 2023 | 36.91 Mn |
| Jan 29, 2023 | 57.32 Mn |
| Oct 30, 2022 | 78.59 Mn |
| Jul 31, 2022 | 54.33 Mn |
| May 1, 2022 | 55.23 Mn |
| Jan 30, 2022 | 46.10 Mn |
| Oct 31, 2021 | 59.83 Mn |
API Access
Duluth Holdings Payables 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=payables&ticker=DLTH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "payables", "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=payables&ticker=DLTH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();