Digital Brands (DBGI) Price to Sales (2021 - 2026)
Digital Brands' (DBGI) quarterly Price to Sales came in at 0.34 in Q2 2026, up 30.75% on a YoY basis from 0.26 in Q2 2025, and down 7.13% quarter-over-quarter from 0.37 in Q1 2026.
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Analysis
Digital Brands (DBGI) Price to Sales (2021 - 2026) Analysis & Trends
Digital Brands (DBGI) has reported Price to Sales for 6 consecutive years, with 0.34 the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Price to Sales rose 30.75% year-over-year to 0.34; the trailing twelve-month figure through Jun 2026 stood at 0.07 (up 5.65% YoY), and the FY2025 full-year result was 0.6, up 91012.58% from the prior year.
- Price to Sales fell to 0.34 in Q2 2026 per DBGI's latest filing, from 0.37 in the prior quarter.
- Across five years, Price to Sales topped out at 37.02 in Q1 2022 and bottomed at 0.0 in Q4 2024.
- Historically, Price to Sales has averaged 3.29 across 5 years, with a median of 1.02 in 2024.
- The sharpest annual moves came in 2022 and 2025: Price to Sales slumped 99.89% in 2022, then soared 77619.89% in 2025.
- Over 5 years, Price to Sales stood at 1.7 in 2022, then slumped by 63.36% to 0.62 in 2023, then sank by 99.43% to 0.0 in 2024, then jumped by 77619.89% to 2.76 in 2025, then tumbled by 87.68% to 0.34 in 2026.
- According to Business Quant data, Price to Sales over the past three periods registered 0.34, 0.37, and 2.76 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 | 0.34 |
| Mar 31, 2026 | 0.37 |
| Dec 31, 2025 | 2.76 |
| Sep 30, 2025 | 0.36 |
| Jun 30, 2025 | 0.26 |
| Mar 31, 2025 | 0.26 |
| Dec 31, 2024 | 0.00 |
| Sep 30, 2024 | 0.37 |
| Jun 30, 2024 | 0.91 |
| Mar 31, 2024 | 2.49 |
| Dec 31, 2023 | 0.62 |
| Sep 30, 2023 | 1.21 |
| Jun 30, 2023 | 1.13 |
| Mar 31, 2023 | 2.22 |
| Dec 31, 2022 | 1.70 |
| Sep 30, 2022 | 2.34 |
| Jun 30, 2022 | 4.92 |
| Mar 31, 2022 | 37.02 |
| Dec 31, 2021 | 38.36 |
| Sep 30, 2021 | 20.73 |
API Access
Digital Brands Price to Sales 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=price-to-sales&ticker=DBGI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-sales", "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=price-to-sales&ticker=DBGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();