Designer Brands (DBI) EBIT (2010 - 2026)
Designer Brands (DBI) reported EBIT of $54.72 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 109.3% from $26.14 million a year earlier and up 190.0% from the prior quarter.
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Analysis
Designer Brands (DBI) EBIT (2010 - 2026) Analysis & Trends
Over the twelve months ended Aug 1, 2026, Designer Brands' EBIT came in at $102.04 million, up 571.4% year-over-year; for FY2026 (ended Jan 31, 2026), it was $47.76 million, up 36.7% from FY2025.
- By fiscal year, EBIT came in at $34.93 million in FY2025 (-51.8%), $72.4 million in FY2024 (-61.4%), $187.39 million in FY2023 (-8.7%) and $205.22 million in FY2022.
- The fiscal Q2 2027 figure ranks as the highest quarterly EBIT since fiscal Q2 2024.
- Year over year, EBIT gained in two of the last four quarters, with growth averaging 42.2%.
- The high point for year-over-year EBIT in five years was fiscal Q1 2023 (growth of 212.8%); the low point was fiscal Q4 2023 (a decline of 90.8%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $18.87 million (Q1 2027), -$14.22 million (Q4 2026) and $42.66 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 27.46 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 6.84 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | 1.99 Bn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | 3.55 Bn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | 1.10 Bn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | 2.56 Bn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 985.75 Mn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 680.00 Mn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | 923.76 Mn |
| 10 | Designer Brands | 272.49 Mn | 68.58 Mn | 365.36 Mn | 54.72 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 54.72 Mn |
| May 2, 2026 | 18.87 Mn |
| Jan 31, 2026 | -14.22 Mn |
| Nov 1, 2025 | 42.66 Mn |
| Aug 2, 2025 | 26.14 Mn |
| May 3, 2025 | -7.91 Mn |
| Feb 1, 2025 | -25.85 Mn |
| Nov 2, 2024 | 22.82 Mn |
| Aug 3, 2024 | 28.59 Mn |
| May 4, 2024 | 9.38 Mn |
| Feb 3, 2024 | -36.02 Mn |
| Oct 28, 2023 | 28.12 Mn |
| Jul 29, 2023 | 60.69 Mn |
| Apr 29, 2023 | 19.61 Mn |
| Jan 28, 2023 | 2.07 Mn |
| Oct 29, 2022 | 64.53 Mn |
| Jul 30, 2022 | 67.60 Mn |
| Apr 30, 2022 | 53.19 Mn |
| Jan 29, 2022 | 22.50 Mn |
| Oct 30, 2021 | 104.31 Mn |
API Access
Designer Brands EBIT 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=ebit&ticker=DBI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=DBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();