Digital Brands (DBGI) Cost of Revenue (2020 - 2026)
Digital Brands' (DBGI) quarterly Cost of Revenue came in at $2.8 million in Q2 2026, up 84.36% on a YoY basis from $1.5 million in Q2 2025, and up 17.1% quarter-over-quarter from $2.4 million in Q1 2026.
Digital Brands (DBGI) Cost of Revenue (2020 - 2026) Analysis & Trends
Digital Brands (DBGI) has reported Cost of Revenue for 7 consecutive years, with $2.8 million the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Cost of Revenue rose 84.36% year-over-year to $2.8 million; the trailing twelve-month figure through Jun 2026 stood at $9.1 million (up 33.93% YoY), and the FY2025 full-year result was $6.3 million, down 20.04% from the prior year.
- Cost of Revenue rose to $2.8 million in Q2 2026 per DBGI's latest filing, from $2.4 million in the prior quarter.
- Across five years, Cost of Revenue topped out at $2.9 million in Q4 2024 and bottomed at $947167.0 in Q3 2025.
- Historically, Cost of Revenue has averaged $1.9 million across 5 years, with a median of $1.8 million in 2024.
- The widest YoY moves for Cost of Revenue: up 272.14% in 2022, down 56.57% in 2022.
- Over 5 years, Cost of Revenue stood at $1.5 million in 2022, then jumped by 48.28% to $2.3 million in 2023, then rose by 27.26% to $2.9 million in 2024, then slipped by 2.04% to $2.8 million in 2025, then slipped by 0.04% to $2.8 million in 2026.
- According to Business Quant data, Cost of Revenue over the past three periods registered $2.8 million, $2.4 million, and $2.8 million for Q2 2026, Q1 2026, and Q4 2025 respectively.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Lululemon Athletica | 10.45 Bn | 9.06 Bn | 1.46 Bn | 953.75 Mn |
| 2 | Levi Strauss | 7.65 Bn | 6.67 Bn | 979.10 Mn | 582.90 Mn |
| 3 | Gildan Activewear | 7.18 Bn | 6.91 Bn | 459.76 Mn | 1.12 Bn |
| 4 | V F | 5.02 Bn | 4.35 Bn | 917.04 Mn | 752.34 Mn |
| 5 | Kontoor Brands | 3.63 Bn | 3.57 Bn | 328.26 Mn | 256.03 Mn |
| 6 | Pvh | 3.38 Bn | 2.42 Bn | 1.32 Bn | 775.20 Mn |
| 7 | Columbia Sportswear | 2.91 Bn | 2.29 Bn | 358.43 Mn | 255.93 Mn |
| 8 | Warby Parker | 2.78 Bn | 2.48 Bn | 136.46 Mn | 99.05 Mn |
| 9 | Figs | 2.06 Bn | 1.76 Bn | 147.86 Mn | 48.76 Mn |
| 10 | Digital Brands | 2.45 Mn | 1.06 Mn | 324,265.00 | 2.84 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.84 Mn |
| Mar 31, 2026 | 2.42 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 |
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_KEY
import 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();