Digital Brands (DBGI) Gross Profit (2020 - 2026)
Digital Brands' (DBGI) quarterly Gross Profit came in at $324265.0 in Q2 2026, down 54.43% on a YoY basis from $711552.0 in Q2 2025, and up 614.54% quarter-over-quarter from $45381.0 in Q1 2026.
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Digital Brands (DBGI) Gross Profit (2020 - 2026) Analysis & Trends
Digital Brands (DBGI) has reported Gross Profit for 7 consecutive years, with $324265.0 the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Gross Profit fell 54.43% year-over-year to $324265.0; the trailing twelve-month figure through Jun 2026 stood at -$159740.0 (down 108.2% YoY), and the FY2025 full-year result was $1.1 million, down 71.06% from the prior year.
- Gross Profit grew to $324265.0 in Q2 2026 per DBGI's latest filing, from $45381.0 in the prior quarter.
- Across five years, Gross Profit topped out at $2.3 million in Q2 2023 and bottomed at -$1.2 million in Q4 2025.
- Historically, Gross Profit has averaged $872737.1 across 5 years, with a median of $915376.5 in 2022.
- The sharpest annual moves came in 2022 and 2024: Gross Profit jumped 649.41% in 2022, then plunged 248.07% in 2024.
- Over 5 years, Gross Profit stood at $859780.0 in 2022, then tumbled by 40.55% to $511177.0 in 2023, then slumped by 248.07% to -$756880.0 in 2024, then slumped by 63.3% to -$1.2 million in 2025, then jumped by 126.24% to $324265.0 in 2026.
- According to Business Quant data, Gross Profit over the past three periods registered $324265.0, $45381.0, and -$1.2 million for Q2 2026, Q1 2026, and Q4 2025 respectively.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Lululemon Athletica | 10.45 Bn | 9.06 Bn | 1.46 Bn |
| 2 | Levi Strauss | 7.65 Bn | 6.67 Bn | 979.10 Mn |
| 3 | Gildan Activewear | 7.18 Bn | 6.91 Bn | 459.76 Mn |
| 4 | V F | 5.02 Bn | 4.35 Bn | 917.04 Mn |
| 5 | Kontoor Brands | 3.63 Bn | 3.57 Bn | 328.26 Mn |
| 6 | Pvh | 3.38 Bn | 2.42 Bn | 1.32 Bn |
| 7 | Columbia Sportswear | 2.91 Bn | 2.29 Bn | 358.43 Mn |
| 8 | Warby Parker | 2.78 Bn | 2.48 Bn | 136.46 Mn |
| 9 | Figs | 2.06 Bn | 1.76 Bn | 147.86 Mn |
| 10 | Digital Brands | 2.45 Mn | 1.06 Mn | 324,265.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 324,265.00 |
| Mar 31, 2026 | 45,381.00 |
| Dec 31, 2025 | -1.24 Mn |
| Sep 30, 2025 | 706,609.00 |
| Jun 30, 2025 | 711,552.00 |
| Mar 31, 2025 | 872,455.00 |
| Dec 31, 2024 | -756,880.00 |
| Sep 30, 2024 | 1.12 Mn |
| Jun 30, 2024 | 1.56 Mn |
| Mar 31, 2024 | 1.72 Mn |
| Dec 31, 2023 | 511,177.00 |
| Sep 30, 2023 | 1.70 Mn |
| Jun 30, 2023 | 2.34 Mn |
| Mar 31, 2023 | 2.02 Mn |
| Dec 31, 2022 | 859,780.00 |
| Sep 30, 2022 | 958,298.00 |
| Jun 30, 2022 | 1.11 Mn |
| Mar 31, 2022 | 1.14 Mn |
| Dec 31, 2021 | 472,081.00 |
| Sep 30, 2021 | 1.21 Mn |
API Access
Digital Brands Gross Profit 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=gross-profit&ticker=DBGI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-profit", "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=gross-profit&ticker=DBGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();