Designer Brands (DBI) Market Capitalization (2010 - 2026)
Designer Brands' Market Capitalization was $262.08 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 144.9% from $107.04 million a year earlier but down 19.6% from the prior quarter.
Designer Brands (DBI) Market Capitalization (2010 - 2026) Analysis & Trends
For FY2026 (ended Jan 31, 2026), Market Capitalization at Designer Brands came in at $266.67 million, down 1.2% from FY2025.
- Market Capitalization has now declined for four consecutive fiscal years, with a five-year compound annual growth rate of -19.6% (FY2021 to FY2026).
- In earlier fiscal years, Market Capitalization was $269.89 million in FY2025 (-40.8%), $455.81 million in FY2024 (-22.4%), $587.17 million in FY2023 (-30.0%) and $839.33 million in FY2022 (+6.0%).
- Quarterly Market Capitalization has moved between $107.04 million (fiscal Q2 2026) and $890.7 million (fiscal Q1 2023) over five years.
- Compared with a year earlier, Market Capitalization was higher in two of the last eight quarters, with growth averaging 3.9%.
- The best year-over-year quarter for Market Capitalization over five years was fiscal Q3 2022 (growth of 217.1%); the worst was fiscal Q1 2026 (a decline of 73.9%).
- Per Business Quant data, DBI's Market Capitalization in the three fiscal quarters before Q2 2027 was $325.85 million (Q1 2027), $266.67 million (Q4 2026) and $154.62 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,659.84 Bn | 2,176.54 Bn | 104.83 Bn |
| 2 | Home Depot | 287.59 Bn | 280.83 Bn | 16.12 Bn |
| 3 | Tjx Companies | 147.38 Bn | 124.93 Bn | 5.07 Bn |
| 4 | Lowes Companies | 105.03 Bn | 97.99 Bn | 8.58 Bn |
| 5 | Ross Stores | 74.93 Bn | 57.86 Bn | 2.12 Bn |
| 6 | Target | 71.05 Bn | 65.64 Bn | 8.94 Bn |
| 7 | O Reilly Automotive | 70.25 Bn | 69.33 Bn | 2.52 Bn |
| 8 | Carvana | 69.96 Bn | 61.56 Bn | 1.38 Bn |
| 9 | Autozone | 46.92 Bn | 45.82 Bn | 2.52 Bn |
| 10 | Designer Brands | 273.36 Mn | 69.44 Mn | 365.36 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 262.08 Mn |
| May 2, 2026 | 325.85 Mn |
| Jan 31, 2026 | 266.67 Mn |
| Nov 1, 2025 | 154.62 Mn |
| Aug 2, 2025 | 107.04 Mn |
| May 3, 2025 | 124.51 Mn |
| Feb 1, 2025 | 269.89 Mn |
| Nov 2, 2024 | 264.58 Mn |
| Aug 3, 2024 | 348.70 Mn |
| May 4, 2024 | 477.17 Mn |
| Feb 3, 2024 | 455.81 Mn |
| Oct 28, 2023 | 514.82 Mn |
| Jul 29, 2023 | 560.87 Mn |
| Apr 29, 2023 | 475.62 Mn |
| Jan 28, 2023 | 587.17 Mn |
| Oct 29, 2022 | 856.38 Mn |
| Jul 30, 2022 | 819.67 Mn |
| Apr 30, 2022 | 890.70 Mn |
| Jan 29, 2022 | 839.33 Mn |
| Oct 30, 2021 | 887.85 Mn |
Designer Brands Market Capitalization 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=market-capitalization&ticker=DBI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "market-capitalization", "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=market-capitalization&ticker=DBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();