Digital Brands (DBGI) Capital Expenditures (2020 - 2026)
Digital Brands' (DBGI) quarterly Capital Expenditures came in at -$36831.0 in Q2 2026, down 130.7% quarter-over-quarter from $119975.0 in Q1 2026.
Digital Brands (DBGI) Capital Expenditures (2020 - 2026) Analysis & Trends
Digital Brands (DBGI) has reported Capital Expenditures for 6 consecutive years, with -$36831.0 the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Capital Expenditures changed N/A year-over-year to -$36831.0; the trailing twelve-month figure through Jun 2026 stood at $93160.0 (changed N/A YoY), and the FY2023 full-year result was $29675.0, down 51.58% from the prior year.
- Capital Expenditures eased to -$36831.0 in Q2 2026 per DBGI's latest filing, from $119975.0 in the prior quarter.
- Across five years, Capital Expenditures topped out at $119975.0 in Q1 2026 and bottomed at -$36831.0 in Q2 2026.
- Historically, Capital Expenditures has averaged $21261.8 across 4 years, with a median of $7795.5 in 2022.
- The sharpest annual moves came in 2022 and 2023: Capital Expenditures soared 88.39% in 2022, then sank 96.74% in 2023.
- Over 4 years, Capital Expenditures stood at $55753.0 in 2022, then tumbled by 96.74% to $1820.0 in 2023, then slumped by 99.95% to $1.0 in 2024, then plunged by 3683200.0% to -$36831.0 in 2026.
- According to Business Quant data, Capital Expenditures over the past three periods registered -$36831.0, $119975.0, and $1.0 for Q2 2026, Q1 2026, and Q3 2024 respectively.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capital Expenditures (Qtr) |
|---|---|---|---|---|---|
| 1 | Lululemon Athletica | 10.45 Bn | 9.06 Bn | 1.46 Bn | 149.68 Mn |
| 2 | Levi Strauss | 7.65 Bn | 6.67 Bn | 979.10 Mn | 39.90 Mn |
| 3 | Gildan Activewear | 7.18 Bn | 6.91 Bn | 459.76 Mn | -19.85 Mn |
| 4 | V F | 5.02 Bn | 4.35 Bn | 917.04 Mn | 39.58 Mn |
| 5 | Kontoor Brands | 3.63 Bn | 3.57 Bn | 328.26 Mn | - |
| 6 | Pvh | 3.38 Bn | 2.42 Bn | 1.32 Bn | 36.50 Mn |
| 7 | Columbia Sportswear | 2.91 Bn | 2.29 Bn | 358.43 Mn | 13.37 Mn |
| 8 | Warby Parker | 2.78 Bn | 2.48 Bn | 136.46 Mn | 22.86 Mn |
| 9 | Figs | 2.06 Bn | 1.76 Bn | 147.86 Mn | 2.60 Mn |
| 10 | Digital Brands | 2.45 Mn | 1.06 Mn | 324,265.00 | -36,831.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -36,831.00 |
| Mar 31, 2026 | 119,975.00 |
| Sep 30, 2024 | 1.00 |
| Jun 30, 2024 | 10,015.00 |
| Mar 31, 2024 | 13,785.00 |
| Dec 31, 2023 | 1,820.00 |
| Dec 31, 2022 | 55,753.00 |
| Mar 31, 2022 | 5,576.00 |
| Dec 31, 2021 | 29,594.00 |
| Sep 30, 2021 | 3,309.00 |
| Dec 31, 2020 | -265,526.00 |
Digital Brands Capital Expenditures 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=capital-expenditures&ticker=DBGI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=DBGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();