Designer Brands (DBI) Revenue (2010 - 2026)
Designer Brands' Revenue came in at $730.63 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), down 1.2% from $739.76 million a year earlier but up 4.9% from the prior quarter.
Designer Brands (DBI) Revenue (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Aug 1, 2026, Designer Brands reported Revenue of $2.89 billion, down 0.8% year-over-year; for FY2026 (ended Jan 31, 2026), it was $2.89 billion, down 3.9% from FY2025.
- Revenue has declined in each of the last three fiscal years, though with a five-year compound annual growth rate of 5.3% (FY2021 to FY2026).
- Going back by fiscal year, Revenue was $3.01 billion in FY2025 (-2.1%), $3.07 billion in FY2024 (-7.3%), $3.32 billion in FY2023 (+3.7%) and $3.2 billion in FY2022 (+43.0%).
- The five-year range for quarterly Revenue is $686.91 million (fiscal Q1 2026) to $865.02 million (fiscal Q3 2023).
- Year-over-year, Revenue increased in 1 of the last eight quarters, with an average decline of 2.7%.
- The fastest year-over-year change in Revenue over five years came in fiscal Q4 2022 (growth of 35.0%), and the weakest in fiscal Q1 2024 (a decline of 10.7%).
- Business Quant data shows DBI's Revenue at $696.35 million (Q1 2027), $713.59 million (Q4 2026) and $752.41 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 200.61 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 47.86 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | 15.18 Bn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | 25.96 Bn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | 6.26 Bn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | 26.54 Bn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 4.89 Bn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 7.38 Bn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | 4.84 Bn |
| 10 | Designer Brands | 272.49 Mn | 68.58 Mn | 365.36 Mn | 730.63 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 730.63 Mn |
| May 2, 2026 | 696.35 Mn |
| Jan 31, 2026 | 713.59 Mn |
| Nov 1, 2025 | 752.41 Mn |
| Aug 2, 2025 | 739.76 Mn |
| May 3, 2025 | 686.91 Mn |
| Feb 1, 2025 | 713.57 Mn |
| Nov 2, 2024 | 777.19 Mn |
| Aug 3, 2024 | 771.90 Mn |
| May 4, 2024 | 746.60 Mn |
| Feb 3, 2024 | 754.35 Mn |
| Oct 28, 2023 | 786.33 Mn |
| Jul 29, 2023 | 792.22 Mn |
| Apr 29, 2023 | 742.08 Mn |
| Jan 28, 2023 | 760.55 Mn |
| Oct 29, 2022 | 865.02 Mn |
| Jul 30, 2022 | 859.32 Mn |
| Apr 30, 2022 | 830.54 Mn |
| Jan 29, 2022 | 822.63 Mn |
| Oct 30, 2021 | 853.47 Mn |
Designer Brands Revenue 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=revenue&ticker=DBI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=DBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();