Digital Brands (DBGI) EV to EBIT (2024)
Digital Brands' (DBGI) EV to EBIT was 5.92 for Q1 2024.
Analysis
Digital Brands (DBGI) EV to EBIT (2024) Analysis & Trends
Over the twelve months ended Mar 31, 2024, Digital Brands' EV to EBIT came in at 4.74.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 55.70 Bn | 21.90 Bn | 4.80 Bn |
| 2 | Tapestry | 23.51 Bn | 19.47 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 22.86 Bn | 14.96 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 12.32 Bn | 5.19 Bn | - |
| 5 | Lululemon Athletica | 10.92 Bn | 5.17 Bn | 1.46 Bn |
| 6 | Levi Strauss | 8.09 Bn | 4.67 Bn | 1.07 Bn |
| 7 | V F | 6.73 Bn | 3.35 Bn | 917.04 Mn |
| 8 | Gildan Activewear | 6.45 Bn | 5.37 Bn | 459.76 Mn |
| 9 | Birkenstock Holding | 6.04 Bn | 4.36 Bn | 493.89 Mn |
| 10 | Digital Brands | 1.29 Mn | -13.86 Mn | 324,265.00 |
API Access
Digital Brands EV to EBIT 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=ev-to-ebit&ticker=DBGI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebit", "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=ev-to-ebit&ticker=DBGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();