Duluth Holdings (DLTH) Operating Leases (2019 - 2026)
Duluth Holdings (DLTH) posted Operating Leases of $71.25 million for fiscal Q2 2027 (quarter ended Aug 2, 2026), down 14.8% from $83.64 million a year earlier and down 1.1% from the prior quarter.
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Analysis
Duluth Holdings (DLTH) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2026 (ended Feb 1, 2026), Duluth Holdings' Operating Leases came in at $76.01 million, down 14.8% from FY2025.
- Annual Operating Leases has declined for three consecutive fiscal years, with a five-year compound annual growth rate of -6.1% (FY2021 to FY2026).
- In prior fiscal years, Duluth Holdings' Operating Leases was $89.22 million in FY2025 (-16.2%), $106.41 million in FY2024 (-9.3%), $117.37 million in FY2023 (+9.6%) and $107.09 million in FY2022 (+2.7%).
- The fiscal Q2 2027 figure stands as the lowest quarterly Operating Leases in data going back to fiscal Q1 2020.
- On a year-over-year basis, Operating Leases has declined in each of the last 12 quarters, with an average decline of 14.7% over the last eight quarters.
- The strongest year-over-year quarter for Operating Leases in the past five years was fiscal Q2 2024, with growth of 9.9%; the weakest was fiscal Q3 2025, with a decline of 19.9%.
- According to Business Quant data, Operating Leases for the three prior fiscal quarters was $72.02 million (Q1 2027), $76.01 million (Q4 2026) and $79.5 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 56.04 Bn | 22.24 Bn | 4.80 Bn |
| 2 | Tapestry | 23.63 Bn | 19.58 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 22.46 Bn | 14.56 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 12.52 Bn | 5.39 Bn | - |
| 5 | Lululemon Athletica | 11.13 Bn | 5.39 Bn | 1.46 Bn |
| 6 | Levi Strauss | 8.00 Bn | 4.58 Bn | 1.07 Bn |
| 7 | V F | 6.73 Bn | 3.35 Bn | 917.04 Mn |
| 8 | Gildan Activewear | 6.61 Bn | 5.53 Bn | 459.76 Mn |
| 9 | Birkenstock Holding | 6.18 Bn | 4.50 Bn | 493.89 Mn |
| 10 | Duluth Holdings | 141.79 Mn | 84.34 Mn | 88.36 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 71.25 Mn |
| May 3, 2026 | 72.02 Mn |
| Feb 1, 2026 | 76.01 Mn |
| Nov 2, 2025 | 79.50 Mn |
| Aug 3, 2025 | 83.64 Mn |
| May 4, 2025 | 86.47 Mn |
| Feb 2, 2025 | 89.22 Mn |
| Oct 27, 2024 | 88.44 Mn |
| Jul 28, 2024 | 92.28 Mn |
| Apr 28, 2024 | 102.19 Mn |
| Jan 28, 2024 | 106.41 Mn |
| Oct 29, 2023 | 110.45 Mn |
| Jul 30, 2023 | 111.00 Mn |
| Apr 30, 2023 | 114.02 Mn |
| Jan 29, 2023 | 117.37 Mn |
| Oct 30, 2022 | 120.91 Mn |
| Jul 31, 2022 | 101.01 Mn |
| May 1, 2022 | 104.45 Mn |
| Jan 30, 2022 | 107.09 Mn |
| Oct 31, 2021 | 110.37 Mn |
API Access
Duluth Holdings Operating Leases 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=operating-leases&ticker=DLTH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=DLTH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();