Duluth Holdings (DLTH) Cash from Operations (2015 - 2026)
Duluth Holdings (DLTH) recorded Cash from Operations of $28.87 million in fiscal Q2 2027 (quarter ended Aug 2, 2026), down 9.8% from $32.03 million a year earlier.
Duluth Holdings (DLTH) Cash from Operations (2015 - 2026) Analysis & Trends
On a TTM basis, Duluth Holdings' Cash from Operations came in at $64.06 million as of Aug 2, 2026; for FY2026 (ended Feb 1, 2026), it came in at $24.17 million.
- Annual Cash from Operations has a five-year compound annual growth rate of -13.8% (FY2021 to FY2026).
- Across earlier fiscal years, Cash from Operations came in at -$16.92 million in FY2025, $38.67 million in FY2024, -$1.4 million in FY2023 and $91.98 million in FY2022 (+81.2%).
- Quarterly Cash from Operations has ranged from -$56.46 million in fiscal Q1 2026 to $69.68 million in fiscal Q4 2024 over the past five years.
- On a year-over-year basis, Cash from Operations rose in two of the last four quarters, with growth averaging 19.1%.
- Peak year-over-year performance for Cash from Operations in the last five years was growth of 92.8% in fiscal Q2 2026, against a decline of 40.9% in fiscal Q4 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at -$13.42 million (Q1 2027), $55.29 million (Q4 2026) and -$6.68 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn | 1.64 Bn |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn | 522.20 Mn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn | 339.30 Mn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - | - |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn | 374.84 Mn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn | 270.80 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 347.44 Mn |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn | 286.47 Mn |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn | 351.70 Mn |
| 10 | Duluth Holdings | 135.08 Mn | 74.88 Mn | 88.36 Mn | 28.87 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 28.87 Mn |
| May 3, 2026 | -13.42 Mn |
| Feb 1, 2026 | 55.29 Mn |
| Nov 2, 2025 | -6.68 Mn |
| Aug 3, 2025 | 32.03 Mn |
| May 4, 2025 | -56.46 Mn |
| Feb 2, 2025 | 41.21 Mn |
| Oct 27, 2024 | -41.07 Mn |
| Jul 28, 2024 | 16.61 Mn |
| Apr 28, 2024 | -33.67 Mn |
| Jan 28, 2024 | 69.68 Mn |
| Oct 29, 2023 | -29.76 Mn |
| Jul 30, 2023 | 12.72 Mn |
| Apr 30, 2023 | -13.97 Mn |
| Jan 29, 2023 | 49.61 Mn |
| Oct 30, 2022 | -9.87 Mn |
| Jul 31, 2022 | -9.42 Mn |
| May 1, 2022 | -31.72 Mn |
| Jan 30, 2022 | 59.22 Mn |
| Oct 31, 2021 | 6.25 Mn |
Duluth Holdings Cash from Operations 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-from-operations&ticker=DLTH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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-from-operations&ticker=DLTH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();