Digital Brands (DBGI) Tax Provisions (2020 - 2021)
Digital Brands' (DBGI) quarterly Tax Provisions came in at $2.2 million in Q4 2021, up 13751600.0% on a YoY basis from N/an in Q4 2020, and up 300.0% quarter-over-quarter from -$1.1 million in Q2 2021.
Digital Brands (DBGI) Tax Provisions (2020 - 2021) Analysis & Trends
Digital Brands (DBGI) has reported Tax Provisions for 2 consecutive years, with $2.2 million the latest figure, recorded in Q4 2021.
- For the quarter ending Q4 2021, Tax Provisions rose 13751600.0% year-over-year to $2.2 million; the trailing twelve-month figure through Dec 2021 stood at $1.1 million (up 7964.69% YoY), and the FY2025 full-year result was -$5.9 million, down 113.62% from the prior year.
- Tax Provisions improved to $2.2 million in Q4 2021 per DBGI's latest filing, from -$1.1 million in the prior quarter.
- Across five years, Tax Provisions topped out at $2.2 million in Q4 2021 and bottomed at -$1.1 million in Q2 2021.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Lululemon Athletica | 10.45 Bn | 9.06 Bn | 1.46 Bn | 138.13 Mn |
| 2 | Levi Strauss | 7.65 Bn | 6.67 Bn | 979.10 Mn | 27.40 Mn |
| 3 | Gildan Activewear | 7.18 Bn | 6.91 Bn | 459.76 Mn | 16.21 Mn |
| 4 | V F | 5.02 Bn | 4.35 Bn | 917.04 Mn | -9.74 Mn |
| 5 | Kontoor Brands | 3.63 Bn | 3.57 Bn | 328.26 Mn | 18.53 Mn |
| 6 | Pvh | 3.38 Bn | 2.42 Bn | 1.32 Bn | -99.70 Mn |
| 7 | Columbia Sportswear | 2.91 Bn | 2.29 Bn | 358.43 Mn | 9.73 Mn |
| 8 | Warby Parker | 2.78 Bn | 2.48 Bn | 136.46 Mn | 607,000.00 |
| 9 | Figs | 2.06 Bn | 1.76 Bn | 147.86 Mn | 8.50 Mn |
| 10 | Digital Brands | 2.45 Mn | 1.06 Mn | 324,265.00 | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2021 | 2.20 Mn |
| Jun 30, 2021 | -1.10 Mn |
| Dec 31, 2020 | -16.00 |
| Sep 30, 2020 | 276.00 |
| Jun 30, 2020 | -709.00 |
| Mar 31, 2020 | 14,090.00 |
Digital Brands Tax Provisions 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=tax-provisions&ticker=DBGI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=DBGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();