Duluth Holdings (DLTH) Cash & Equivalents (2014 - 2026)
Duluth Holdings (DLTH) posted Cash & Equivalents of $26.8 million for fiscal Q2 2027 (quarter ended Aug 2, 2026), up 367.0% from $5.74 million a year earlier and up 336.9% from the prior quarter.
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Analysis
Duluth Holdings (DLTH) Cash & Equivalents (2014 - 2026) Analysis & Trends
At the end of FY2026 (ended Feb 1, 2026), Duluth Holdings' Cash & Equivalents came in at $16.35 million, up 390.1% from FY2025.
- Annual Cash & Equivalents shows a five-year compound annual growth rate of -18.9% (FY2021 to FY2026).
- In prior fiscal years, Duluth Holdings' Cash & Equivalents was $3.34 million in FY2025 (-89.6%), $32.16 million in FY2024 (-29.4%), $45.55 million in FY2023 (-40.9%) and $77.05 million in FY2022 (+65.4%).
- The fiscal Q2 2027 figure stands as the highest quarterly Cash & Equivalents since fiscal Q4 2024.
- On a year-over-year basis, Cash & Equivalents increased in four of the last eight quarters, with growth averaging 78.2%.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was fiscal Q4 2026, with growth of 390.1%; the weakest was fiscal Q4 2025, with a decline of 89.6%.
- According to Business Quant data, Cash & Equivalents for the three prior fiscal quarters was $6.13 million (Q1 2027), $16.35 million (Q4 2026) and $8.17 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.05 Bn | 18.05 Bn | 5.39 Bn | 7.56 Bn |
| 2 | Tapestry | 23.90 Bn | 19.86 Bn | 1.56 Bn | 974.70 Mn |
| 3 | Ralph Lauren | 21.81 Bn | 13.91 Bn | 1.44 Bn | 1.72 Bn |
| 4 | Deckers Outdoor | 11.33 Bn | 4.20 Bn | - | 1.91 Bn |
| 5 | Lululemon Athletica | 10.22 Bn | 4.47 Bn | 1.46 Bn | 1.39 Bn |
| 6 | Levi Strauss | 7.69 Bn | 4.35 Bn | 979.10 Mn | 849.30 Mn |
| 7 | Gildan Activewear | 6.41 Bn | 5.41 Bn | 459.76 Mn | 268.30 Mn |
| 8 | Birkenstock Holding | 6.07 Bn | 4.37 Bn | 493.89 Mn | 806.25 Mn |
| 9 | Crocs | 5.74 Bn | 5.15 Bn | 700.71 Mn | 170.28 Mn |
| 10 | Duluth Holdings | 136.47 Mn | 76.26 Mn | 88.36 Mn | 26.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 26.80 Mn |
| May 3, 2026 | 6.13 Mn |
| Feb 1, 2026 | 16.35 Mn |
| Nov 2, 2025 | 8.17 Mn |
| Aug 3, 2025 | 5.74 Mn |
| May 4, 2025 | 8.58 Mn |
| Feb 2, 2025 | 3.34 Mn |
| Oct 27, 2024 | 9.34 Mn |
| Jul 28, 2024 | 9.79 Mn |
| Apr 28, 2024 | 6.80 Mn |
| Jan 28, 2024 | 32.16 Mn |
| Oct 29, 2023 | 8.18 Mn |
| Jul 30, 2023 | 11.15 Mn |
| Apr 30, 2023 | 9.21 Mn |
| Jan 29, 2023 | 45.55 Mn |
| Oct 30, 2022 | 9.41 Mn |
| Jul 31, 2022 | 15.37 Mn |
| May 1, 2022 | 40.37 Mn |
| Jan 30, 2022 | 77.05 Mn |
| Oct 31, 2021 | 19.75 Mn |
API Access
Duluth Holdings Cash & Equivalents 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=cash-and-equivalents&ticker=DLTH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=DLTH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();