Designer Brands (DBI) EBITDA (2011 - 2026)
Designer Brands (DBI) recorded EBITDA of $68.61 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 67.3% from $41.01 million a year earlier and up 106.3% from the prior quarter.
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Analysis
Designer Brands (DBI) EBITDA (2011 - 2026) Analysis & Trends
On a TTM basis, Designer Brands' EBITDA came in at $159.72 million as of Aug 1, 2026, up 110.6% year-over-year; for FY2026 (ended Jan 31, 2026), it was $106.84 million, up 8.2% from FY2025.
- Across earlier fiscal years, EBITDA came in at $98.75 million in FY2025 (-28.7%), $138.54 million in FY2024 (-48.4%), $268.71 million in FY2023 (-5.1%) and $283.14 million in FY2022.
- The fiscal Q2 2027 figure is the highest quarterly EBITDA since fiscal Q2 2024.
- On a year-over-year basis, EBITDA rose in three of the last six quarters, with growth averaging 67.8%.
- Peak year-over-year performance for EBITDA in the last five years was growth of 382.7% in fiscal Q1 2027, against a decline of 73.3% in fiscal Q1 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $33.25 million (Q1 2027), $480,000 (Q4 2026) and $57.38 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 47.45 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 7.95 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | 2.33 Bn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | 4.20 Bn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | 1.24 Bn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | 3.34 Bn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 1.12 Bn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 749.00 Mn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | 1.08 Bn |
| 10 | Designer Brands | 272.49 Mn | 68.58 Mn | 365.36 Mn | 68.61 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 68.61 Mn |
| May 2, 2026 | 33.25 Mn |
| Jan 31, 2026 | 480,000.00 |
| Nov 1, 2025 | 57.38 Mn |
| Aug 2, 2025 | 41.01 Mn |
| May 3, 2025 | 6.89 Mn |
| Feb 1, 2025 | -10.61 Mn |
| Nov 2, 2024 | 38.56 Mn |
| Aug 3, 2024 | 45.04 Mn |
| May 4, 2024 | 25.76 Mn |
| Feb 3, 2024 | -17.68 Mn |
| Oct 28, 2023 | 42.79 Mn |
| Jul 29, 2023 | 77.26 Mn |
| Apr 29, 2023 | 36.18 Mn |
| Jan 28, 2023 | 18.63 Mn |
| Oct 29, 2022 | 85.14 Mn |
| Jul 30, 2022 | 90.36 Mn |
| Apr 30, 2022 | 74.58 Mn |
| Jan 29, 2022 | 41.24 Mn |
| Oct 30, 2021 | 123.23 Mn |
API Access
Designer Brands EBITDA 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&ticker=DBI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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&ticker=DBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();