Designer Brands (DBI) Price to Earnings (2011 - 2026)
Designer Brands' Price to Earnings came in at 15.47 for fiscal Q2 2027 (quarter ended Aug 1, 2026), down 52.9% from the prior quarter.
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Analysis
Designer Brands (DBI) Price to Earnings (2011 - 2026) Analysis & Trends
For FY2024 (ended Feb 3, 2024), Designer Brands' Price to Earnings was 15.68, up 334.5% from FY2023.
- Going back by fiscal year, Price to Earnings was 3.61 in FY2023 (-33.6%), 5.43 in FY2022 and 9.65 in FY2020.
- The fiscal Q2 2027 figure represents the lowest quarterly Price to Earnings since fiscal Q3 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn |
| 10 | Designer Brands | 262.51 Mn | 58.60 Mn | 365.36 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 15.47 |
| May 2, 2026 | 32.86 |
| May 4, 2024 | 25.89 |
| Feb 3, 2024 | 15.68 |
| Oct 28, 2023 | 4.96 |
| Jul 29, 2023 | 4.04 |
| Apr 29, 2023 | 3.22 |
| Jan 28, 2023 | 3.61 |
| Oct 29, 2022 | 6.49 |
| Jul 30, 2022 | 4.91 |
| Apr 30, 2022 | 5.44 |
| Jan 29, 2022 | 5.43 |
| Oct 30, 2021 | 146.37 |
| Feb 1, 2020 | 9.65 |
| Nov 2, 2019 | 19.16 |
| Aug 3, 2019 | 21.13 |
| Nov 3, 2018 | 54.13 |
| Aug 4, 2018 | 1,062.04 |
| May 5, 2018 | 24.25 |
| Feb 3, 2018 | 21.01 |
API Access
Designer Brands 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=DBI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "DBI", "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=DBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();