Designer Brands (DBI) Enterprise Value (2010 - 2026)
Designer Brands (DBI) recorded Enterprise Value of $210.49 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 239.0% from $62.1 million a year earlier but down 23.7% from the prior quarter.
Powered by 
Analysis
Designer Brands (DBI) Enterprise Value (2010 - 2026) Analysis & Trends
On a TTM basis, Designer Brands' Enterprise Value came in at $58.16 million as of Aug 1, 2026; for FY2026 (ended Jan 31, 2026), it was $215.8 million, down 4.1% from FY2025.
- Annual Enterprise Value has declined for four straight fiscal years, with a five-year compound annual growth rate of -21.7% (FY2021 to FY2026).
- Across earlier fiscal years, Enterprise Value came in at $225.14 million in FY2025 (-44.6%), $406.64 million in FY2024 (-23.0%), $528.4 million in FY2023 (-31.1%) and $766.64 million in FY2022 (+4.6%).
- Quarterly Enterprise Value has ranged from $62.1 million in fiscal Q2 2026 to $835.9 million in fiscal Q1 2023 over the past five years.
- On a year-over-year basis, Enterprise Value rose in two of the last eight quarters, with growth averaging 21.8%.
- Peak year-over-year performance for Enterprise Value in the last five years was growth of 386.4% in fiscal Q3 2022, against a decline of 81.9% in fiscal Q1 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $275.74 million (Q1 2027), $215.8 million (Q4 2026) and $103.27 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn |
| 10 | Designer Brands | 272.49 Mn | 68.58 Mn | 365.36 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 210.49 Mn |
| May 2, 2026 | 275.74 Mn |
| Jan 31, 2026 | 215.80 Mn |
| Nov 1, 2025 | 103.27 Mn |
| Aug 2, 2025 | 62.10 Mn |
| May 3, 2025 | 78.48 Mn |
| Feb 1, 2025 | 225.14 Mn |
| Nov 2, 2024 | 228.35 Mn |
| Aug 3, 2024 | 309.86 Mn |
| May 4, 2024 | 433.74 Mn |
| Feb 3, 2024 | 406.64 Mn |
| Oct 28, 2023 | 460.19 Mn |
| Jul 29, 2023 | 514.68 Mn |
| Apr 29, 2023 | 425.05 Mn |
| Jan 28, 2023 | 528.40 Mn |
| Oct 29, 2022 | 793.88 Mn |
| Jul 30, 2022 | 768.87 Mn |
| Apr 30, 2022 | 835.90 Mn |
| Jan 29, 2022 | 766.64 Mn |
| Oct 30, 2021 | 804.78 Mn |
API Access
Designer Brands Enterprise Value 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=enterprise-value&ticker=DBI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=DBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();