Digital Brands (DBGI) Property, Plant & Equipment (Net) (2020 - 2026)
Digital Brands' Property, Plant & Equipment (Net) came in at $218,361 for Q2 2026, up 953.9% from $20,719 a year earlier and up 1.6% from the prior quarter.
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Analysis
Digital Brands (DBGI) Property, Plant & Equipment (Net) (2020 - 2026) Analysis & Trends
At the end of FY2025, Digital Brands' Property, Plant & Equipment (Net) was $15,736, down 34.7% from FY2024.
- Property, Plant & Equipment (Net) has declined in each of the last three years, with a five-year compound annual growth rate of -24.1% (FY2020 to FY2025).
- Going back by year, Property, Plant & Equipment (Net) was $24,089 in FY2024 (-56.6%), $55,509 in FY2023 (-46.9%), $104,512 in FY2022 (+7.5%) and $97,265 in FY2021 (+56.1%).
- The Q2 2026 figure represents the highest quarterly Property, Plant & Equipment (Net) in data going back to Q4 2020.
- Year-over-year, Property, Plant & Equipment (Net) increased in two of the last eight quarters, with growth averaging 185.6%.
- The fastest year-over-year change in Property, Plant & Equipment (Net) over five years came in Q2 2026 (growth of 953.9%), and the weakest in Q3 2025 (a decline of 76.0%).
- Business Quant data shows DBGI's Property, Plant & Equipment (Net) at $214,873 (Q1 2026), $15,736 (Q4 2025) and $19,046 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 56.18 Bn | 22.38 Bn | 4.80 Bn | 4.89 Bn |
| 2 | Tapestry | 23.99 Bn | 19.95 Bn | 1.56 Bn | 502.10 Mn |
| 3 | Ralph Lauren | 22.76 Bn | 14.85 Bn | 1.44 Bn | 1.05 Bn |
| 4 | Deckers Outdoor | 12.61 Bn | 5.48 Bn | - | 337.78 Mn |
| 5 | Lululemon Athletica | 11.29 Bn | 5.54 Bn | 1.46 Bn | 2.05 Bn |
| 6 | Levi Strauss | 8.02 Bn | 4.60 Bn | 1.07 Bn | 655.80 Mn |
| 7 | V F | 6.86 Bn | 3.48 Bn | 917.04 Mn | 674.54 Mn |
| 8 | Gildan Activewear | 6.55 Bn | 5.47 Bn | 459.76 Mn | 1.32 Bn |
| 9 | Birkenstock Holding | 6.11 Bn | 4.43 Bn | 493.89 Mn | 464.29 Mn |
| 10 | Digital Brands | 1.41 Mn | -13.73 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();