Duluth Holdings (DLTH) Price to Earnings (2016 - 2026)
Duluth Holdings' Price to Earnings came in at 23.93 for fiscal Q2 2027 (quarter ended Aug 2, 2026).
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Analysis
Duluth Holdings (DLTH) Price to Earnings (2016 - 2026) Analysis & Trends
For FY2023 (ended Jan 29, 2023), Duluth Holdings' Price to Earnings was 87.34, up 496.9% from FY2022.
- Going back by fiscal year, Price to Earnings was 14.63 in FY2022 (-46.0%), 27.07 in FY2021 (+107.8%) and 13.03 in FY2020.
- The fiscal Q2 2027 figure represents the highest quarterly Price to Earnings since fiscal Q4 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 59.22 Bn | 25.42 Bn | 4.80 Bn |
| 2 | Tapestry | 27.73 Bn | 23.69 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 24.01 Bn | 15.93 Bn | 1.63 Bn |
| 4 | Lululemon Athletica | 12.77 Bn | 7.02 Bn | 1.46 Bn |
| 5 | Deckers Outdoor | 12.28 Bn | 5.48 Bn | 895.11 Mn |
| 6 | Levi Strauss | 9.33 Bn | 5.91 Bn | 1.07 Bn |
| 7 | V F | 8.24 Bn | 4.84 Bn | 1.49 Bn |
| 8 | Crocs | 7.62 Bn | 7.03 Bn | 689.73 Mn |
| 9 | Birkenstock Holding | 7.23 Bn | 5.55 Bn | 493.89 Mn |
| 10 | Duluth Holdings | 134.92 Mn | 77.47 Mn | 88.36 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 23.93 |
| Jan 29, 2023 | 87.34 |
| Oct 30, 2022 | 21.11 |
| Jul 31, 2022 | 13.61 |
| May 1, 2022 | 13.17 |
| Jan 30, 2022 | 14.63 |
| Oct 31, 2021 | 12.46 |
| Aug 1, 2021 | 13.76 |
| May 2, 2021 | 15.63 |
| Jan 31, 2021 | 27.07 |
| Nov 1, 2020 | 28.04 |
| Aug 2, 2020 | 14.17 |
| May 3, 2020 | 10.24 |
| Feb 2, 2020 | 13.03 |
| Nov 3, 2019 | 17.88 |
| Aug 4, 2019 | 30.43 |
| May 5, 2019 | 29.40 |
| Feb 3, 2019 | 29.62 |
| Oct 28, 2018 | 38.63 |
| Jul 29, 2018 | 27.74 |
API Access
Duluth Holdings Price to Earnings 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=price-to-earnings&ticker=DLTH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=DLTH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();