Digital Brands (DBGI) Inventory (2020 - 2026)
Digital Brands' (DBGI) quarterly Inventory came in at $5.4 million in Q2 2026, up 33.27% on a YoY basis from $4.1 million in Q2 2025, and up 53.14% quarter-over-quarter from $3.5 million in Q1 2026.
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Analysis
Digital Brands (DBGI) Inventory (2020 - 2026) Analysis & Trends
Digital Brands (DBGI) has reported Inventory for 7 consecutive years, with $5.4 million the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Inventory rose 33.27% year-over-year to $5.4 million; the trailing twelve-month figure through Jun 2026 stood at $5.4 million (up 33.27% YoY), and the FY2025 full-year result was $3.1 million, down 17.97% from the prior year.
- Inventory improved to $5.4 million in Q2 2026 per DBGI's latest filing, from $3.5 million in the prior quarter.
- Across five years, Inventory topped out at $5.4 million in Q2 2026 and bottomed at $2.5 million in Q1 2022.
- Historically, Inventory has averaged $4.2 million across 5 years, with a median of $4.5 million in 2024.
- The sharpest annual moves came in 2022 and 2024: Inventory jumped 322.63% in 2022, then retreated 21.15% in 2024.
- Over 5 years, Inventory stood at $5.1 million in 2022, then slipped by 5.33% to $4.8 million in 2023, then retreated by 21.15% to $3.8 million in 2024, then decreased by 17.97% to $3.1 million in 2025, then surged by 73.15% to $5.4 million in 2026.
- According to Business Quant data, Inventory over the past three periods registered $5.4 million, $3.5 million, and $3.1 million for Q2 2026, Q1 2026, and Q4 2025 respectively.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Lululemon Athletica | 10.45 Bn | 9.06 Bn | 1.46 Bn | 1.71 Bn |
| 2 | Levi Strauss | 7.65 Bn | 6.67 Bn | 979.10 Mn | 1.16 Bn |
| 3 | Gildan Activewear | 7.18 Bn | 6.91 Bn | 459.76 Mn | 2.17 Bn |
| 4 | V F | 5.02 Bn | 4.35 Bn | 917.04 Mn | 1.90 Bn |
| 5 | Kontoor Brands | 3.63 Bn | 3.57 Bn | 328.26 Mn | 526.12 Mn |
| 6 | Pvh | 3.38 Bn | 2.42 Bn | 1.32 Bn | 1.74 Bn |
| 7 | Columbia Sportswear | 2.91 Bn | 2.29 Bn | 358.43 Mn | 874.77 Mn |
| 8 | Warby Parker | 2.78 Bn | 2.48 Bn | 136.46 Mn | 42.10 Mn |
| 9 | Figs | 2.06 Bn | 1.76 Bn | 147.86 Mn | 119.56 Mn |
| 10 | Digital Brands | 2.45 Mn | 1.06 Mn | 324,265.00 | 5.43 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.43 Mn |
| Mar 31, 2026 | 3.55 Mn |
| Dec 31, 2025 | 3.14 Mn |
| Sep 30, 2025 | 4.32 Mn |
| Jun 30, 2025 | 4.08 Mn |
| Mar 31, 2025 | 4.25 Mn |
| Dec 31, 2024 | 3.82 Mn |
| Sep 30, 2024 | 5.04 Mn |
| Jun 30, 2024 | 5.06 Mn |
| Mar 31, 2024 | 4.65 Mn |
| Dec 31, 2023 | 4.85 Mn |
| Sep 30, 2023 | 4.71 Mn |
| Jun 30, 2023 | 4.77 Mn |
| Mar 31, 2023 | 4.93 Mn |
| Dec 31, 2022 | 5.12 Mn |
| Sep 30, 2022 | 2.66 Mn |
| Jun 30, 2022 | 2.88 Mn |
| Mar 31, 2022 | 2.49 Mn |
| Dec 31, 2021 | 2.76 Mn |
| Sep 30, 2021 | 2.33 Mn |
API Access
Digital Brands Inventory 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=inventory&ticker=DBGI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=DBGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();