Designer Brands (DBI) Common Equity (2010 - 2026)
Designer Brands' Common Equity came in at $301.12 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 8.7% from $277.05 million a year earlier and up 7.2% from the prior quarter.
Designer Brands (DBI) Common Equity (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Designer Brands' Common Equity was $280 million, up 1.7% from FY2025.
- Common Equity carries a five-year compound annual growth rate of 2.9% (FY2021 to FY2026).
- Going back by fiscal year, Common Equity was $275.43 million in FY2025 (-23.3%), $359.22 million in FY2024 (-17.0%), $432.9 million in FY2023 (+5.0%) and $412.4 million in FY2022 (+69.7%).
- The fiscal Q2 2027 figure represents the highest quarterly Common Equity since fiscal Q3 2025.
- Year-over-year, Common Equity has increased for three consecutive quarters, with an average decline of 9.9% over the last eight quarters.
- The fastest year-over-year change in Common Equity over five years came in fiscal Q4 2022 (growth of 69.7%), and the weakest in fiscal Q1 2026 (a decline of 26.5%).
- Business Quant data shows DBI's Common Equity at $280.93 million (Q1 2027), $280 million (Q4 2026) and $298.57 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Common Equity (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 551.62 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 16.62 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | 10.65 Bn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | -7.44 Bn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | 6.74 Bn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | 17.84 Bn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | -1.84 Bn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 5.14 Bn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | -2.78 Bn |
| 10 | Designer Brands | 272.49 Mn | 68.58 Mn | 365.36 Mn | 301.12 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 301.12 Mn |
| May 2, 2026 | 280.93 Mn |
| Jan 31, 2026 | 280.00 Mn |
| Nov 1, 2025 | 298.57 Mn |
| Aug 2, 2025 | 277.05 Mn |
| May 3, 2025 | 263.48 Mn |
| Feb 1, 2025 | 275.43 Mn |
| Nov 2, 2024 | 318.51 Mn |
| Aug 3, 2024 | 355.55 Mn |
| May 4, 2024 | 358.47 Mn |
| Feb 3, 2024 | 359.22 Mn |
| Oct 28, 2023 | 387.58 Mn |
| Jul 29, 2023 | 459.82 Mn |
| Apr 29, 2023 | 440.15 Mn |
| Jan 28, 2023 | 432.90 Mn |
| Oct 29, 2022 | 383.51 Mn |
| Jul 30, 2022 | 360.95 Mn |
| Apr 30, 2022 | 416.79 Mn |
| Jan 29, 2022 | 412.40 Mn |
| Oct 30, 2021 | 393.66 Mn |
Designer Brands Common Equity 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=common-equity&ticker=DBI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "common-equity", "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=common-equity&ticker=DBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();