Digital Brands (DBGI) Property, Plant & Equipment (Net) Growth (1y) (2021 - 2026)
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Analysis
Digital Brands (DBGI) Property, Plant & Equipment (Net) Growth (1y) (2021 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) Growth (1y) (Qtr) |
|---|---|---|---|---|---|
| 1 | Lululemon Athletica | 10.45 Bn | 9.06 Bn | 1.46 Bn | 6.73% |
| 2 | Levi Strauss | 7.65 Bn | 6.67 Bn | 979.10 Mn | -1.98% |
| 3 | Gildan Activewear | 7.18 Bn | 6.91 Bn | 459.76 Mn | - |
| 4 | V F | 5.02 Bn | 4.35 Bn | 917.04 Mn | -6.42% |
| 5 | Kontoor Brands | 3.63 Bn | 3.57 Bn | 328.26 Mn | -7.00% |
| 6 | Pvh | 3.38 Bn | 2.42 Bn | 1.32 Bn | -10.78% |
| 7 | Columbia Sportswear | 2.91 Bn | 2.29 Bn | 358.43 Mn | -5.87% |
| 8 | Warby Parker | 2.78 Bn | 2.48 Bn | 136.46 Mn | 13.92% |
| 9 | Figs | 2.06 Bn | 1.76 Bn | 147.86 Mn | 0.87% |
| 10 | Digital Brands | 2.45 Mn | 1.06 Mn | 324,265.00 | 953.92% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 953.92% |
| Mar 31, 2026 | 859.08% |
| Dec 31, 2025 | -34.68% |
| Sep 30, 2025 | -75.99% |
| Jun 30, 2025 | -73.88% |
| Mar 31, 2025 | -67.67% |
| Dec 31, 2024 | -56.60% |
| Sep 30, 2024 | -19.21% |
| Jun 30, 2024 | -19.21% |
| Mar 31, 2024 | -3.49% |
| Dec 31, 2023 | -46.89% |
| Sep 30, 2023 | 111.33% |
| Jun 30, 2023 | 50.49% |
| Mar 31, 2023 | -19.00% |
| Dec 31, 2022 | 7.45% |
| Sep 30, 2022 | -52.53% |
| Jun 30, 2022 | -45.55% |
| Mar 31, 2022 | 66.34% |
| Dec 31, 2021 | 56.09% |
API Access
Digital Brands Property, Plant & Equipment (Net) Growth (1y) 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=property-plant-and-equipment-net-growth-1y&ticker=DBGI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net-growth-1y", "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=property-plant-and-equipment-net-growth-1y&ticker=DBGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();