Designer Brands (DBI) EBT (2010 - 2026)
Designer Brands (DBI) recorded EBT of $30.58 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 114.1% from $14.28 million a year earlier and up 249.9% from the prior quarter.
Designer Brands (DBI) EBT (2010 - 2026) Analysis & Trends
On a TTM basis, Designer Brands' EBT came in at $45.84 million as of Aug 1, 2026; for FY2026 (ended Jan 31, 2026), it was $2.23 million.
- Across earlier fiscal years, EBT came in at -$10.73 million in FY2025, $40.2 million in FY2024 (-74.8%), $159.52 million in FY2023 (-7.8%) and $173.03 million in FY2022.
- Quarterly EBT has ranged from -$46.01 million in fiscal Q4 2024 to $96.77 million in fiscal Q3 2022 over the past five years.
- On a year-over-year basis, EBT rose in two of the last four quarters, with growth averaging 59.3%.
- Peak year-over-year performance for EBT in the last five years was growth of 315.5% in fiscal Q1 2023, against a decline of 67.9% in fiscal Q2 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $8.74 million (Q1 2027), -$24.69 million (Q4 2026) and $31.21 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBT (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 80.86 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 6.32 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | 2.02 Bn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | 3.18 Bn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | 1.13 Bn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | 2.46 Bn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 924.08 Mn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 579.00 Mn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | 813.27 Mn |
| 10 | Designer Brands | 272.49 Mn | 68.58 Mn | 365.36 Mn | 30.58 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 30.58 Mn |
| May 2, 2026 | 8.74 Mn |
| Jan 31, 2026 | -24.69 Mn |
| Nov 1, 2025 | 31.21 Mn |
| Aug 2, 2025 | 14.28 Mn |
| May 3, 2025 | -19.87 Mn |
| Feb 1, 2025 | -36.84 Mn |
| Nov 2, 2024 | 10.99 Mn |
| Aug 3, 2024 | 17.45 Mn |
| May 4, 2024 | -2.32 Mn |
| Feb 3, 2024 | -46.01 Mn |
| Oct 28, 2023 | 19.19 Mn |
| Jul 29, 2023 | 54.33 Mn |
| Apr 29, 2023 | 12.68 Mn |
| Jan 28, 2023 | -2.29 Mn |
| Oct 29, 2022 | 59.55 Mn |
| Jul 30, 2022 | 64.88 Mn |
| Apr 30, 2022 | 37.38 Mn |
| Jan 29, 2022 | 14.16 Mn |
| Oct 30, 2021 | 96.77 Mn |
Designer Brands EBT 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=ebt&ticker=DBI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt", "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=ebt&ticker=DBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();