Designer Brands (DBI) EBITDA Margin (2011 - 2026)
Designer Brands (DBI) reported EBITDA Margin of 9.39% for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 3.85 percentage points from 5.54% a year earlier and up 4.62 percentage points from the prior quarter.
Designer Brands (DBI) EBITDA Margin (2011 - 2026) Analysis & Trends
Over the twelve months ended Aug 1, 2026, Designer Brands' EBITDA Margin came in at 5.52%, up 2.92 percentage points year-over-year; for FY2026 (ended Jan 31, 2026), it was 3.69%, up 0.41 percentage points from FY2025.
- EBITDA Margin has a five-year change of +25.99 percentage points (FY2021 to FY2026).
- By fiscal year, EBITDA Margin came in at 3.28% in FY2025 (-1.22 pp), 4.51% in FY2024 (-3.60 pp), 8.10% in FY2023 (-0.75 pp) and 8.86% in FY2022 (+31.16 pp).
- The fiscal Q2 2027 figure ranks as the highest quarterly EBITDA Margin since fiscal Q2 2024.
- Year over year, EBITDA Margin has now increased in each of the last four quarters, with an average year-over-year change of +1.18 percentage points over the last eight quarters.
- The high point for year-over-year EBITDA Margin in five years was fiscal Q3 2022 (a gain of 20.03 percentage points); the low point was fiscal Q4 2024 (a drop of 4.79 percentage points).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at 4.77% (Q1 2027), 0.07% (Q4 2026) and 7.63% (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 23.65% |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 16.60% |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | 15.33% |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | 16.17% |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | 19.85% |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | 12.60% |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 22.98% |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 10.15% |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | 22.39% |
| 10 | Designer Brands | 272.49 Mn | 68.58 Mn | 365.36 Mn | 9.39% |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 9.39% |
| May 2, 2026 | 4.77% |
| Jan 31, 2026 | 0.07% |
| Nov 1, 2025 | 7.63% |
| Aug 2, 2025 | 5.54% |
| May 3, 2025 | 1.00% |
| Feb 1, 2025 | -1.49% |
| Nov 2, 2024 | 4.96% |
| Aug 3, 2024 | 5.83% |
| May 4, 2024 | 3.45% |
| Feb 3, 2024 | -2.34% |
| Oct 28, 2023 | 5.44% |
| Jul 29, 2023 | 9.75% |
| Apr 29, 2023 | 4.87% |
| Jan 28, 2023 | 2.45% |
| Oct 29, 2022 | 9.84% |
| Jul 30, 2022 | 10.52% |
| Apr 30, 2022 | 8.98% |
| Jan 29, 2022 | 5.01% |
| Oct 30, 2021 | 14.44% |
Designer Brands EBITDA Margin 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=ebitda-margin&ticker=DBI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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=ebitda-margin&ticker=DBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();