Duluth Holdings (DLTH) Inventory (2015 - 2026)
Duluth Holdings (DLTH) recorded Inventory of $125.15 million in fiscal Q2 2027 (quarter ended Aug 2, 2026), down 15.5% from $148.05 million a year earlier and down 5.5% from the prior quarter.
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Analysis
Duluth Holdings (DLTH) Inventory (2015 - 2026) Analysis & Trends
At the end of FY2026 (ended Feb 1, 2026), Duluth Holdings reported Inventory of $131.34 million, down 21.1% from FY2025.
- Annual Inventory has a five-year compound annual growth rate of -2.5% (FY2021 to FY2026).
- Across earlier fiscal years, Inventory came in at $166.55 million in FY2025 (+32.4%), $125.76 million in FY2024 (-18.8%), $154.92 million in FY2023 (+26.3%) and $122.67 million in FY2022 (-17.7%).
- The fiscal Q2 2027 figure is the lowest quarterly Inventory since fiscal Q4 2022.
- On a year-over-year basis, Inventory has declined for five consecutive quarters, with growth averaging 0.5% over the last eight quarters.
- Peak year-over-year performance for Inventory in the last five years was growth of 33.0% in fiscal Q3 2025, against a decline of 24.8% in fiscal Q1 2027 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $132.44 million (Q1 2027), $131.34 million (Q4 2026) and $192.2 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.94 Bn | 19.93 Bn | 5.39 Bn | - |
| 2 | Tapestry | 22.74 Bn | 18.69 Bn | 1.56 Bn | 826.20 Mn |
| 3 | Ralph Lauren | 21.47 Bn | 13.57 Bn | 1.44 Bn | 1.16 Bn |
| 4 | Deckers Outdoor | 11.15 Bn | 4.02 Bn | - | 487.02 Mn |
| 5 | Lululemon Athletica | 10.72 Bn | 4.97 Bn | 1.46 Bn | 1.71 Bn |
| 6 | Levi Strauss | 7.64 Bn | 4.29 Bn | 979.10 Mn | 1.16 Bn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 2.17 Bn |
| 8 | Birkenstock Holding | 6.06 Bn | 4.37 Bn | 493.89 Mn | 980.27 Mn |
| 9 | Crocs | 5.89 Bn | 5.30 Bn | 700.71 Mn | 389.21 Mn |
| 10 | Duluth Holdings | 136.47 Mn | 76.26 Mn | 88.36 Mn | 125.15 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 125.15 Mn |
| May 3, 2026 | 132.44 Mn |
| Feb 1, 2026 | 131.34 Mn |
| Nov 2, 2025 | 192.20 Mn |
| Aug 3, 2025 | 148.05 Mn |
| May 4, 2025 | 176.11 Mn |
| Feb 2, 2025 | 166.55 Mn |
| Oct 27, 2024 | 231.43 Mn |
| Jul 28, 2024 | 168.72 Mn |
| Apr 28, 2024 | 136.43 Mn |
| Jan 28, 2024 | 125.76 Mn |
| Oct 29, 2023 | 173.97 Mn |
| Jul 30, 2023 | 157.13 Mn |
| Apr 30, 2023 | 144.97 Mn |
| Jan 29, 2023 | 154.92 Mn |
| Oct 30, 2022 | 204.72 Mn |
| Jul 31, 2022 | 164.50 Mn |
| May 1, 2022 | 152.24 Mn |
| Jan 30, 2022 | 122.67 Mn |
| Oct 31, 2021 | 165.08 Mn |
API Access
Duluth Holdings Inventory 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=inventory&ticker=DLTH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=DLTH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();