Digital Brands (DBGI) Cost of Revenue (2020 - 2026)
Digital Brands' Cost of Revenue was $883,905 in Q2 2026, down 42.6% from $1.54 million a year earlier and down 30.4% from the prior quarter.
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Analysis
Digital Brands (DBGI) Cost of Revenue (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Digital Brands' Cost of Revenue was $5.94 million through Jun 30, 2026, down 12.1% year-over-year; for FY2025, it was $6.33 million, down 20.0% from FY2024.
- Cost of Revenue shows a five-year compound annual growth rate of 6.2% (FY2020 to FY2025).
- In earlier years, Cost of Revenue was $7.91 million in FY2024 (-5.5%), $8.37 million in FY2023 (+23.3%), $6.79 million in FY2022 (+18.8%) and $5.72 million in FY2021 (+22.0%).
- The Q2 2026 figure marks the lowest quarterly Cost of Revenue since Q2 2021.
- Compared with a year earlier, Cost of Revenue was higher in two of the last eight quarters, with an average decline of 12.0%.
- The best year-over-year quarter for Cost of Revenue over five years was Q4 2021 (growth of 341.7%); the worst was Q4 2022 (a decline of 56.6%).
- Per Business Quant data, DBGI's Cost of Revenue in the three quarters before Q2 2026 was $1.27 million (Q1 2026), $2.84 million (Q4 2025) and $947,167 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 55.42 Bn | 21.62 Bn | 4.80 Bn | 6.42 Bn |
| 2 | Ralph Lauren | 22.70 Bn | 14.79 Bn | 1.44 Bn | 515.60 Mn |
| 3 | Tapestry | 22.12 Bn | 18.08 Bn | 1.56 Bn | 313.00 Mn |
| 4 | Deckers Outdoor | 11.53 Bn | 4.41 Bn | - | - |
| 5 | Lululemon Athletica | 10.55 Bn | 4.80 Bn | 1.46 Bn | 953.75 Mn |
| 6 | Levi Strauss | 8.17 Bn | 4.75 Bn | 1.07 Bn | 543.90 Mn |
| 7 | Gildan Activewear | 7.49 Bn | 6.41 Bn | 459.76 Mn | 1.12 Bn |
| 8 | V F | 6.78 Bn | 3.40 Bn | 917.04 Mn | 752.34 Mn |
| 9 | Birkenstock Holding | 5.99 Bn | 4.31 Bn | 493.89 Mn | 342.46 Mn |
| 10 | Digital Brands | 618,713.42 | -14.52 Mn | 324,265.00 | 883,905.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 883,905.00 |
| Mar 31, 2026 | 1.27 Mn |
| Dec 31, 2025 | 2.84 Mn |
| Sep 30, 2025 | 947,167.00 |
| Jun 30, 2025 | 1.54 Mn |
| Mar 31, 2025 | 999,246.00 |
| Dec 31, 2024 | 2.90 Mn |
| Sep 30, 2024 | 1.32 Mn |
| Jun 30, 2024 | 1.84 Mn |
| Mar 31, 2024 | 1.86 Mn |
| Dec 31, 2023 | 2.28 Mn |
| Sep 30, 2023 | 1.55 Mn |
| Jun 30, 2023 | 2.16 Mn |
| Mar 31, 2023 | 2.42 Mn |
| Dec 31, 2022 | 1.54 Mn |
| Sep 30, 2022 | 1.70 Mn |
| Jun 30, 2022 | 1.54 Mn |
| Mar 31, 2022 | 2.29 Mn |
| Dec 31, 2021 | 3.54 Mn |
| Sep 30, 2021 | 954,137.00 |
API Access
Digital Brands Cost of Revenue 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=cost-of-revenue&ticker=DBGI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=DBGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();