Digital Brands (DBGI) Cash & Equivalents (2020 - 2026)
Digital Brands (DBGI) reported Cash & Equivalents of $1.39 million for Q2 2026, up 155.5% from $542,578 a year earlier but down 72.9% from the prior quarter.
Analysis
Digital Brands (DBGI) Cash & Equivalents (2020 - 2026) Analysis & Trends
At the end of FY2025, Digital Brands posted Cash & Equivalents of $1.93 million.
- Cash & Equivalents has a five-year compound annual growth rate of 27.4% (FY2020 to FY2025).
- By year, Cash & Equivalents came in at $164,431 in FY2024 (+691.6%), $20,773 in FY2023 (-98.4%), $1.28 million in FY2022 (+141.4%) and $528,394 in FY2021 (-8.3%).
- Five-year quarterly Cash & Equivalents spans a low of $11,330 in Q1 2024 and a high of $6.7 million in Q3 2025.
- Year over year, Cash & Equivalents gained in four of the last five quarters, with growth averaging 277.4%.
- The high point for year-over-year Cash & Equivalents in five years was Q4 2024 (growth of 691.6%); the low point was Q1 2024 (a decline of 99.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $5.12 million (Q1 2026), $1.93 million (Q4 2025) and $6.7 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 56.18 Bn | 22.38 Bn | 4.80 Bn | 6.90 Bn |
| 2 | Tapestry | 23.99 Bn | 19.95 Bn | 1.56 Bn | 974.70 Mn |
| 3 | Ralph Lauren | 22.76 Bn | 14.85 Bn | 1.44 Bn | 1.72 Bn |
| 4 | Deckers Outdoor | 12.61 Bn | 5.48 Bn | - | 1.91 Bn |
| 5 | Lululemon Athletica | 11.29 Bn | 5.54 Bn | 1.46 Bn | 1.39 Bn |
| 6 | Levi Strauss | 8.02 Bn | 4.60 Bn | 1.07 Bn | 641.40 Mn |
| 7 | V F | 6.86 Bn | 3.48 Bn | 917.04 Mn | 670.06 Mn |
| 8 | Gildan Activewear | 6.55 Bn | 5.47 Bn | 459.76 Mn | 268.30 Mn |
| 9 | Birkenstock Holding | 6.11 Bn | 4.43 Bn | 493.89 Mn | 792.27 Mn |
| 10 | Digital Brands | 1.41 Mn | -13.73 Mn | 324,265.00 | 1.39 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.39 Mn |
| Mar 31, 2026 | 5.12 Mn |
| Dec 31, 2025 | 1.93 Mn |
| Sep 30, 2025 | 6.70 Mn |
| Jun 30, 2025 | 542,578.00 |
| Mar 31, 2025 | 2.24 Mn |
| Dec 31, 2024 | 164,431.00 |
| Sep 30, 2024 | 289,346.00 |
| Jun 30, 2024 | 92,794.00 |
| Mar 31, 2024 | 11,330.00 |
| Dec 31, 2023 | 20,773.00 |
| Sep 30, 2023 | 1.07 Mn |
| Jun 30, 2023 | 335,470.00 |
| Mar 31, 2023 | 1.97 Mn |
| Dec 31, 2022 | 1.28 Mn |
| Sep 30, 2022 | 195,399.00 |
| Jun 30, 2022 | 802,724.00 |
| Mar 31, 2022 | 566,013.00 |
| Dec 31, 2021 | 528,394.00 |
| Sep 30, 2021 | 254,527.00 |
API Access
Digital Brands Cash & Equivalents 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=cash-and-equivalents&ticker=DBGI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=DBGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();