Digital Brands (DBGI) Selling, General & Administrative (2020 - 2026)
Digital Brands (DBGI) reported Selling, General & Administrative of $2.41 million for Q2 2026, up 57.7% from $1.53 million a year earlier but down 6.4% from the prior quarter.
Powered by 
Analysis
Digital Brands (DBGI) Selling, General & Administrative (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Digital Brands' Selling, General & Administrative came in at $11.15 million, up 35.5% year-over-year; for FY2025, it was $9.67 million, up 11.8% from FY2024.
- Selling, General & Administrative has a five-year compound annual growth rate of 6.2% (FY2020 to FY2025).
- By year, Selling, General & Administrative came in at $8.65 million in FY2024, $50,823 in FY2023 (-99.6%), $14.07 million in FY2022 (-16.0%) and $16.75 million in FY2021 (+134.3%).
- Five-year quarterly Selling, General & Administrative spans a low of -$12.06 million in Q4 2023 and a high of $4.46 million in Q1 2023.
- Year over year, Selling, General & Administrative has now increased in each of the last three quarters, with growth averaging 24.4% over the last seven quarters.
- The high point for year-over-year Selling, General & Administrative in five years was Q3 2021 (growth of 174.3%); the low point was Q1 2024 (a decline of 78.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $2.57 million (Q1 2026), $3.98 million (Q4 2025) and $2.19 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 55.70 Bn | 21.90 Bn | 4.80 Bn | 3.91 Bn |
| 2 | Tapestry | 23.51 Bn | 19.47 Bn | 1.56 Bn | 1.12 Bn |
| 3 | Ralph Lauren | 22.92 Bn | 15.02 Bn | 1.44 Bn | 1.08 Bn |
| 4 | Deckers Outdoor | 12.34 Bn | 5.21 Bn | - | - |
| 5 | Lululemon Athletica | 11.01 Bn | 5.27 Bn | 1.46 Bn | 1.01 Bn |
| 6 | Levi Strauss | 8.17 Bn | 4.75 Bn | 1.07 Bn | 835.90 Mn |
| 7 | V F | 6.74 Bn | 3.36 Bn | 917.04 Mn | 1.00 Bn |
| 8 | Gildan Activewear | 6.48 Bn | 5.40 Bn | 459.76 Mn | 193.84 Mn |
| 9 | Birkenstock Holding | 6.06 Bn | 4.38 Bn | 493.89 Mn | 37.80 Mn |
| 10 | Digital Brands | 981,657.77 | -14.16 Mn | 324,265.00 | 2.41 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.41 Mn |
| Mar 31, 2026 | 2.57 Mn |
| Dec 31, 2025 | 3.98 Mn |
| Sep 30, 2025 | 2.19 Mn |
| Jun 30, 2025 | 1.53 Mn |
| Mar 31, 2025 | 1.97 Mn |
| Dec 31, 2024 | 2.30 Mn |
| Sep 30, 2024 | 2.43 Mn |
| Jun 30, 2024 | 2.95 Mn |
| Mar 31, 2024 | 971,732.00 |
| Dec 31, 2023 | -12.06 Mn |
| Sep 30, 2023 | 3.74 Mn |
| Jun 30, 2023 | 4.07 Mn |
| Mar 31, 2023 | 4.46 Mn |
| Dec 31, 2022 | 3.01 Mn |
| Sep 30, 2022 | 2.98 Mn |
| Jun 30, 2022 | 4.24 Mn |
| Mar 31, 2022 | 4.28 Mn |
| Dec 31, 2021 | 3.93 Mn |
| Sep 30, 2021 | 3.72 Mn |
API Access
Digital Brands Selling, General & Administrative 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=selling-general-and-administrative&ticker=DBGI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=DBGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();