Digital Brands (DBGI) Acquisitions (2020)
Digital Brands' Acquisitions was $106,913 in Q1 2020.
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Analysis
Digital Brands (DBGI) Acquisitions (2020) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Acquisitions (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 55.95 Bn | 22.15 Bn | 4.80 Bn | - |
| 2 | Tapestry | 23.90 Bn | 19.86 Bn | 1.56 Bn | - |
| 3 | Ralph Lauren | 22.75 Bn | 14.85 Bn | 1.44 Bn | - |
| 4 | Deckers Outdoor | 12.37 Bn | 5.24 Bn | - | - |
| 5 | Lululemon Athletica | 11.12 Bn | 5.37 Bn | 1.46 Bn | - |
| 6 | Levi Strauss | 8.09 Bn | 4.67 Bn | 1.07 Bn | - |
| 7 | V F | 6.78 Bn | 3.40 Bn | 917.04 Mn | - |
| 8 | Gildan Activewear | 6.55 Bn | 5.47 Bn | 459.76 Mn | - |
| 9 | Birkenstock Holding | 6.10 Bn | 4.42 Bn | 493.89 Mn | 8.83 Mn |
| 10 | Digital Brands | 1.29 Mn | -13.85 Mn | 324,265.00 | - |
API Access
Digital 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=DBGI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "acquisitions", "ticker": "DBGI", "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=DBGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();