Digital Brands (DBGI) Property, Plant & Equipment (Net) (2020 - 2026)
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Analysis
Digital Brands (DBGI) Property, Plant & Equipment (Net) (2020 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Property, Plant & Equipment (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Lululemon Athletica | 10.45 Bn | 9.06 Bn | 1.46 Bn | 2.05 Bn |
| 2 | Levi Strauss | 7.65 Bn | 6.67 Bn | 979.10 Mn | 659.80 Mn |
| 3 | Gildan Activewear | 7.18 Bn | 6.91 Bn | 459.76 Mn | - |
| 4 | V F | 5.02 Bn | 4.35 Bn | 917.04 Mn | 674.54 Mn |
| 5 | Kontoor Brands | 3.63 Bn | 3.57 Bn | 328.26 Mn | 110.89 Mn |
| 6 | Pvh | 3.38 Bn | 2.42 Bn | 1.32 Bn | 620.20 Mn |
| 7 | Columbia Sportswear | 2.91 Bn | 2.29 Bn | 358.43 Mn | 266.60 Mn |
| 8 | Warby Parker | 2.78 Bn | 2.48 Bn | 136.46 Mn | 201.81 Mn |
| 9 | Figs | 2.06 Bn | 1.76 Bn | 147.86 Mn | 33.40 Mn |
| 10 | Digital Brands | 2.45 Mn | 1.06 Mn | 324,265.00 | 218,361.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 218,361.00 |
| Mar 31, 2026 | 214,873.00 |
| Dec 31, 2025 | 15,736.00 |
| Sep 30, 2025 | 19,046.00 |
| Jun 30, 2025 | 20,719.00 |
| Mar 31, 2025 | 22,404.00 |
| Dec 31, 2024 | 24,089.00 |
| Sep 30, 2024 | 79,310.00 |
| Jun 30, 2024 | 79,309.00 |
| Mar 31, 2024 | 69,294.00 |
| Dec 31, 2023 | 55,509.00 |
| Sep 30, 2023 | 98,170.00 |
| Jun 30, 2023 | 98,170.00 |
| Mar 31, 2023 | 71,803.00 |
| Dec 31, 2022 | 104,512.00 |
| Sep 30, 2022 | 46,454.00 |
| Jun 30, 2022 | 65,235.00 |
| Mar 31, 2022 | 88,650.00 |
| Dec 31, 2021 | 97,265.00 |
| Sep 30, 2021 | 97,862.00 |
API Access
Digital Brands Property, Plant & Equipment (Net) 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&ticker=DBGI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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&ticker=DBGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();