Digital Brands (DBGI) Asset Utilization Ratio (2021 - 2026)
Digital Brands' (DBGI) quarterly Asset Utilization Ratio came in at 0.12 in Q2 2026, down 48.91% on a YoY basis from 0.24 in Q2 2025, and down 17.25% quarter-over-quarter from 0.15 in Q1 2026.
Digital Brands (DBGI) Asset Utilization Ratio (2021 - 2026) Analysis & Trends
Digital Brands (DBGI) has reported Asset Utilization Ratio for 6 consecutive years, with 0.12 the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Asset Utilization Ratio fell 48.91% year-over-year to 0.12; the trailing twelve-month figure through Jun 2026 stood at 0.12 (down 48.91% YoY), and the FY2025 full-year result was 0.23, down 55.13% from the prior year.
- Asset Utilization Ratio retreated to 0.12 in Q2 2026 per DBGI's latest filing, from 0.15 in the prior quarter.
- Across five years, Asset Utilization Ratio topped out at 0.56 in Q4 2023 and bottomed at 0.12 in Q2 2026.
- Historically, Asset Utilization Ratio has averaged 0.37 across 5 years, with a median of 0.35 in 2022.
- The sharpest annual moves came in 2022 and 2025: Asset Utilization Ratio surged 207.22% in 2022, then sank 67.81% in 2025.
- Over 5 years, Asset Utilization Ratio stood at 0.32 in 2022, then surged by 74.22% to 0.56 in 2023, then slipped by 5.19% to 0.54 in 2024, then tumbled by 67.81% to 0.17 in 2025, then declined by 28.59% to 0.12 in 2026.
- According to Business Quant data, Asset Utilization Ratio over the past three periods registered 0.12, 0.15, and 0.17 for Q2 2026, Q1 2026, and Q4 2025 respectively.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Asset Util. (Qtr) |
|---|---|---|---|---|---|
| 1 | Lululemon Athletica | 10.45 Bn | 9.06 Bn | 1.46 Bn | 1.30 |
| 2 | Levi Strauss | 7.65 Bn | 6.67 Bn | 979.10 Mn | 1.00 |
| 3 | Gildan Activewear | 7.18 Bn | 6.91 Bn | 459.76 Mn | 0.46 |
| 4 | V F | 5.02 Bn | 4.35 Bn | 917.04 Mn | 1.01 |
| 5 | Kontoor Brands | 3.63 Bn | 3.57 Bn | 328.26 Mn | 1.12 |
| 6 | Pvh | 3.38 Bn | 2.42 Bn | 1.32 Bn | 0.78 |
| 7 | Columbia Sportswear | 2.91 Bn | 2.29 Bn | 358.43 Mn | 1.27 |
| 8 | Warby Parker | 2.78 Bn | 2.48 Bn | 136.46 Mn | 1.21 |
| 9 | Figs | 2.06 Bn | 1.76 Bn | 147.86 Mn | 1.24 |
| 10 | Digital Brands | 2.45 Mn | 1.06 Mn | 324,265.00 | 0.12 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.12 |
| Mar 31, 2026 | 0.15 |
| Dec 31, 2025 | 0.17 |
| Sep 30, 2025 | 0.23 |
| Jun 30, 2025 | 0.24 |
| Mar 31, 2025 | 0.31 |
| Dec 31, 2024 | 0.54 |
| Sep 30, 2024 | 0.51 |
| Jun 30, 2024 | 0.52 |
| Mar 31, 2024 | 0.56 |
| Dec 31, 2023 | 0.56 |
| Sep 30, 2023 | 0.53 |
| Jun 30, 2023 | 0.46 |
| Mar 31, 2023 | 0.36 |
| Dec 31, 2022 | 0.32 |
| Sep 30, 2022 | 0.36 |
| Jun 30, 2022 | 0.34 |
| Mar 31, 2022 | 0.29 |
| Dec 31, 2021 | 0.20 |
| Sep 30, 2021 | 0.12 |
Digital Brands Asset Utilization Ratio 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=asset-utilization-ratio&ticker=DBGI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-utilization-ratio", "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=asset-utilization-ratio&ticker=DBGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();