Duluth Holdings (DLTH) Free Cash Flow (2015 - 2026)
Duluth Holdings' Free Cash Flow was $28.16 million in fiscal Q2 2027 (quarter ended Aug 2, 2026), down 5.5% from $29.79 million a year earlier.
Duluth Holdings (DLTH) Free Cash Flow (2015 - 2026) Analysis & Trends
On a trailing twelve-month basis, Duluth Holdings' Free Cash Flow was $57.54 million through Aug 2, 2026; for FY2026 (ended Feb 1, 2026), it came in at $16.57 million.
- Free Cash Flow shows a five-year compound annual growth rate of -15.7% (FY2021 to FY2026).
- In earlier fiscal years, Free Cash Flow was -$25.25 million in FY2025, -$10.41 million in FY2024, -$28.46 million in FY2023 and $81.63 million in FY2022 (+109.3%).
- Quarterly Free Cash Flow has moved between -$57.8 million (fiscal Q1 2026) and $60.55 million (fiscal Q4 2024) over five years.
- Compared with a year earlier, Free Cash Flow was higher in two of the last four quarters, with growth averaging 24.0%.
- The best year-over-year quarter for Free Cash Flow over five years was fiscal Q2 2025 (growth of 468.0%); the worst was fiscal Q4 2025 (a decline of 36.1%).
- Per Business Quant data, DLTH's Free Cash Flow in the three fiscal quarters before Q2 2027 was -$15.2 million (Q1 2027), $53.52 million (Q4 2026) and -$8.94 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FCF (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn | 1.50 Bn |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn | 469.00 Mn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn | 285.90 Mn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - | - |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn | 225.16 Mn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn | 230.90 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 367.29 Mn |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn | 316.96 Mn |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn | 330.97 Mn |
| 10 | Duluth Holdings | 135.08 Mn | 74.88 Mn | 88.36 Mn | 28.16 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 28.16 Mn |
| May 3, 2026 | -15.20 Mn |
| Feb 1, 2026 | 53.52 Mn |
| Nov 2, 2025 | -8.94 Mn |
| Aug 3, 2025 | 29.79 Mn |
| May 4, 2025 | -57.80 Mn |
| Feb 2, 2025 | 38.69 Mn |
| Oct 27, 2024 | -43.70 Mn |
| Jul 28, 2024 | 14.96 Mn |
| Apr 28, 2024 | -35.19 Mn |
| Jan 28, 2024 | 60.55 Mn |
| Oct 29, 2023 | -38.23 Mn |
| Jul 30, 2023 | 2.63 Mn |
| Apr 30, 2023 | -35.37 Mn |
| Jan 29, 2023 | 46.79 Mn |
| Oct 30, 2022 | -15.30 Mn |
| Jul 31, 2022 | -24.35 Mn |
| May 1, 2022 | -35.60 Mn |
| Jan 30, 2022 | 57.98 Mn |
| Oct 31, 2021 | 2.12 Mn |
Duluth Holdings Free Cash Flow 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=free-cash-flow&ticker=DLTH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "free-cash-flow", "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=free-cash-flow&ticker=DLTH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();