Duluth Holdings (DLTH) Accounts Payables (2015 - 2026)
Duluth Holdings (DLTH) reported Accounts Payables of $47.32 million for fiscal Q2 2027 (quarter ended Aug 2, 2026), up 8.5% from $43.6 million a year earlier and up 18.1% from the prior quarter.
Duluth Holdings (DLTH) Accounts Payables (2015 - 2026) Analysis & Trends
At the end of FY2026 (ended Feb 1, 2026), Duluth Holdings posted Accounts Payables of $48.23 million, down 34.7% from FY2025.
- Accounts Payables has a five-year compound annual growth rate of 7.5% (FY2021 to FY2026).
- By fiscal year, Accounts Payables came in at $73.88 million in FY2025 (+44.5%), $51.12 million in FY2024 (-9.6%), $56.55 million in FY2023 (+24.5%) and $45.4 million in FY2022 (+34.9%).
- Five-year quarterly Accounts Payables spans a low of $36.12 million in fiscal Q1 2024 and a high of $104.55 million in fiscal Q3 2025.
- Year over year, Accounts Payables gained in four of the last eight quarters, with growth averaging 7.1%.
- The high point for year-over-year Accounts Payables in five years was fiscal Q3 2025 (growth of 95.3%); the low point was fiscal Q2 2026 (a decline of 43.8%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $40.07 million (Q1 2027), $48.23 million (Q4 2026) and $80.2 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Accounts Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 59.22 Bn | 25.42 Bn | 4.80 Bn | 3.42 Bn |
| 2 | Tapestry | 27.73 Bn | 23.69 Bn | 1.56 Bn | 582.30 Mn |
| 3 | Ralph Lauren | 24.01 Bn | 15.93 Bn | 1.63 Bn | 497.50 Mn |
| 4 | Lululemon Athletica | 12.77 Bn | 7.02 Bn | 1.46 Bn | 346.72 Mn |
| 5 | Deckers Outdoor | 12.28 Bn | 5.48 Bn | 895.11 Mn | 647.90 Mn |
| 6 | Levi Strauss | 9.33 Bn | 5.91 Bn | 1.07 Bn | 684.80 Mn |
| 7 | V F | 8.24 Bn | 4.84 Bn | 1.49 Bn | 1.28 Bn |
| 8 | Crocs | 7.62 Bn | 7.03 Bn | 689.73 Mn | 272.51 Mn |
| 9 | Birkenstock Holding | 7.23 Bn | 5.55 Bn | 493.89 Mn | 200.48 Mn |
| 10 | Duluth Holdings | 134.92 Mn | 77.47 Mn | 88.36 Mn | 47.32 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 47.32 Mn |
| May 3, 2026 | 40.07 Mn |
| Feb 1, 2026 | 48.23 Mn |
| Nov 2, 2025 | 80.20 Mn |
| Aug 3, 2025 | 43.60 Mn |
| May 4, 2025 | 45.94 Mn |
| Feb 2, 2025 | 73.88 Mn |
| Oct 27, 2024 | 104.55 Mn |
| Jul 28, 2024 | 77.60 Mn |
| Apr 28, 2024 | 37.42 Mn |
| Jan 28, 2024 | 51.12 Mn |
| Oct 29, 2023 | 53.52 Mn |
| Jul 30, 2023 | 59.26 Mn |
| Apr 30, 2023 | 36.12 Mn |
| Jan 29, 2023 | 56.55 Mn |
| Oct 30, 2022 | 77.84 Mn |
| Jul 31, 2022 | 53.60 Mn |
| May 1, 2022 | 54.52 Mn |
| Jan 30, 2022 | 45.40 Mn |
| Oct 31, 2021 | 59.16 Mn |
Duluth Holdings Accounts 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=accounts-payables&ticker=DLTH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accounts-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=accounts-payables&ticker=DLTH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();