Duluth Holdings (DLTH) Change in Inventory (2015 - 2026)
Duluth Holdings (DLTH) recorded Change in Inventory of -$7.29 million in fiscal Q2 2027 (quarter ended Aug 2, 2026), compared with -$28.06 million a year earlier.
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Analysis
Duluth Holdings (DLTH) Change in Inventory (2015 - 2026) Analysis & Trends
On a TTM basis, Duluth Holdings' Change in Inventory came in at -$22.9 million as of Aug 2, 2026; for FY2026 (ended Feb 1, 2026), it was -$35.2 million.
- Across earlier fiscal years, Change in Inventory came in at $40.79 million in FY2025, -$29.17 million in FY2024, $32.25 million in FY2023 and -$26.38 million in FY2022.
- Quarterly Change in Inventory has ranged from -$64.89 million in fiscal Q4 2025 to $62.71 million in fiscal Q3 2025 over the past five years.
- On a year-over-year basis, Change in Inventory rose in 1 of the last four quarters, with growth averaging 36.0%.
- Peak year-over-year performance for Change in Inventory in the last five years was growth of 272.4% in fiscal Q3 2025, against a decline of 88.5% in fiscal Q1 2027 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $1.1 million (Q1 2027), -$60.86 million (Q4 2026) and $44.15 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.14 Bn | 19.13 Bn | 5.39 Bn | 55.00 Mn |
| 2 | Tapestry | 22.87 Bn | 18.83 Bn | 1.56 Bn | -19.10 Mn |
| 3 | Ralph Lauren | 21.39 Bn | 13.49 Bn | 1.44 Bn | 156.30 Mn |
| 4 | Deckers Outdoor | 11.06 Bn | 3.93 Bn | - | - |
| 5 | Lululemon Athletica | 10.32 Bn | 4.58 Bn | 1.46 Bn | 37.99 Mn |
| 6 | Levi Strauss | 7.62 Bn | 4.28 Bn | 979.10 Mn | - |
| 7 | Gildan Activewear | 6.55 Bn | 5.54 Bn | 459.76 Mn | - |
| 8 | Birkenstock Holding | 6.07 Bn | 4.38 Bn | 493.89 Mn | - |
| 9 | Crocs | 5.90 Bn | 5.31 Bn | 700.71 Mn | -8.13 Mn |
| 10 | Duluth Holdings | 136.47 Mn | 76.26 Mn | 88.36 Mn | -7.29 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | -7.29 Mn |
| May 3, 2026 | 1.10 Mn |
| Feb 1, 2026 | -60.86 Mn |
| Nov 2, 2025 | 44.15 Mn |
| Aug 3, 2025 | -28.06 Mn |
| May 4, 2025 | 9.56 Mn |
| Feb 2, 2025 | -64.89 Mn |
| Oct 27, 2024 | 62.71 Mn |
| Jul 28, 2024 | 32.28 Mn |
| Apr 28, 2024 | 10.68 Mn |
| Jan 28, 2024 | -48.21 Mn |
| Oct 29, 2023 | 16.84 Mn |
| Jul 30, 2023 | 12.16 Mn |
| Apr 30, 2023 | -9.95 Mn |
| Jan 29, 2023 | -49.80 Mn |
| Oct 30, 2022 | 40.22 Mn |
| Jul 31, 2022 | 12.26 Mn |
| May 1, 2022 | 29.57 Mn |
| Jan 30, 2022 | -42.41 Mn |
| Oct 31, 2021 | 30.19 Mn |
API Access
Duluth Holdings Change in 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=change-in-inventory&ticker=DLTH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-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=change-in-inventory&ticker=DLTH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();