Digital Brands (DBGI) Inventory (2020 - 2026)
Digital Brands (DBGI) recorded Inventory of $5.43 million in Q2 2026, up 33.3% from $4.08 million a year earlier and up 53.1% from the prior quarter.
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Analysis
Digital Brands (DBGI) Inventory (2020 - 2026) Analysis & Trends
At the end of FY2025, Digital Brands reported Inventory of $3.14 million, down 18.0% from FY2024.
- Annual Inventory has declined for three straight years, though with a five-year compound annual growth rate of 21.9% (FY2020 to FY2025).
- Across earlier years, Inventory came in at $3.82 million in FY2024 (-21.1%), $4.85 million in FY2023 (-5.3%), $5.12 million in FY2022 (+85.9%) and $2.76 million in FY2021 (+136.9%).
- The Q2 2026 figure is the highest quarterly Inventory in data going back to Q4 2020.
- On a year-over-year basis, Inventory rose in two of the last eight quarters, with an average decline of 7.2%.
- Peak year-over-year performance for Inventory in the last five years was growth of 322.6% in Q1 2022, against a decline of 21.1% in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $3.55 million (Q1 2026), $3.14 million (Q4 2025) and $4.32 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 55.70 Bn | 21.90 Bn | 4.80 Bn | - |
| 2 | Tapestry | 23.51 Bn | 19.47 Bn | 1.56 Bn | 826.20 Mn |
| 3 | Ralph Lauren | 22.86 Bn | 14.96 Bn | 1.44 Bn | 1.16 Bn |
| 4 | Deckers Outdoor | 12.32 Bn | 5.19 Bn | - | 487.02 Mn |
| 5 | Lululemon Athletica | 10.92 Bn | 5.17 Bn | 1.46 Bn | 1.71 Bn |
| 6 | Levi Strauss | 8.09 Bn | 4.67 Bn | 1.07 Bn | 1.25 Bn |
| 7 | V F | 6.73 Bn | 3.35 Bn | 917.04 Mn | 1.90 Bn |
| 8 | Gildan Activewear | 6.45 Bn | 5.37 Bn | 459.76 Mn | 2.17 Bn |
| 9 | Birkenstock Holding | 6.04 Bn | 4.36 Bn | 493.89 Mn | 963.27 Mn |
| 10 | Digital Brands | 1.29 Mn | -13.86 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();