Digital Brands (DBGI) Capital Expenditures Growth (3y) (2023 - 2024)
Analysis
Digital Brands (DBGI) Capital Expenditures Growth (3y) (2023 - 2024) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex Growth (3y) (Qtr) |
|---|---|---|---|---|---|
| 1 | Lululemon Athletica | 10.45 Bn | 9.06 Bn | 1.46 Bn | 0.95% |
| 2 | Levi Strauss | 7.65 Bn | 6.67 Bn | 979.10 Mn | -17.28% |
| 3 | Gildan Activewear | 7.18 Bn | 6.91 Bn | 459.76 Mn | 29.23% |
| 4 | V F | 5.02 Bn | 4.35 Bn | 917.04 Mn | -13.79% |
| 5 | Kontoor Brands | 3.63 Bn | 3.57 Bn | 328.26 Mn | - |
| 6 | Pvh | 3.38 Bn | 2.42 Bn | 1.32 Bn | -14.31% |
| 7 | Columbia Sportswear | 2.91 Bn | 2.29 Bn | 358.43 Mn | 15.14% |
| 8 | Warby Parker | 2.78 Bn | 2.48 Bn | 136.46 Mn | 23.20% |
| 9 | Figs | 2.06 Bn | 1.76 Bn | 147.86 Mn | 45.71% |
| 10 | Digital Brands | 2.45 Mn | 1.06 Mn | 324,265.00 | - |
API Access
Digital Brands Capital Expenditures Growth (3y) 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=capital-expenditures-growth-3y&ticker=DBGI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures-growth-3y", "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=capital-expenditures-growth-3y&ticker=DBGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();