Designer Brands (DBI) Acquisitions (2016 - 2024)
Designer Brands (DBI) posted Acquisitions of $16.14 million for FY2025 (year ended Feb 1, 2025), down 87.3% from $127.5 million in FY2024.
Analysis
Designer Brands (DBI) Acquisitions (2016 - 2024) Analysis & Trends
Since FY2017, Designer Brands has reported Acquisitions for 5 fiscal years.
- The FY2025 figure stands as the lowest annual Acquisitions in data going back to FY2017.
- Business Quant data shows DBI's Acquisitions at $127.5 million in FY2024 (+568.8%) and $19.06 million in FY2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Acquisitions (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 24.36 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 1.05 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 | 29.00 Mn |
| 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 |
|---|---|
| Nov 2, 2024 | 16.14 Mn |
| Aug 3, 2024 | -322,000.00 |
| May 4, 2024 | 16.67 Mn |
| Jul 29, 2023 | 17.94 Mn |
| Apr 29, 2023 | 109.55 Mn |
| Jan 28, 2023 | 19.06 Mn |
| Feb 1, 2020 | 4.97 Mn |
| Nov 2, 2019 | -4.97 Mn |
| Feb 2, 2019 | 171.25 Mn |
| Jan 28, 2017 | 295,000.00 |
| Oct 29, 2016 | -930,000.00 |
| Apr 30, 2016 | 60.41 Mn |
API Access
Designer Brands Acquisitions 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=acquisitions&ticker=DBI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "acquisitions", "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=acquisitions&ticker=DBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();