Digital Brands (DBGI) Capital Expenditures (2020 - 2026)
Digital Brands (DBGI) recorded Capital Expenditures of -$36,831 in Q2 2026.
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Analysis
Digital Brands (DBGI) Capital Expenditures (2020 - 2026) Analysis & Trends
On a TTM basis, Digital Brands' Capital Expenditures came in at $93,160 as of Jun 30, 2026; for FY2023, it was $29,675, down 51.6% from FY2022.
- Annual Capital Expenditures has a three-year compound annual growth rate of 225.1% (FY2020 to FY2023).
- Across earlier years, Capital Expenditures came in at $61,286 in FY2022 (+41.9%), $43,179 in FY2021 and $864.00 in FY2020.
- The Q2 2026 figure is the lowest quarterly Capital Expenditures since Q4 2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 56.18 Bn | 22.38 Bn | 4.80 Bn | 199.00 Mn |
| 2 | Tapestry | 23.99 Bn | 19.95 Bn | 1.56 Bn | 53.20 Mn |
| 3 | Ralph Lauren | 22.76 Bn | 14.85 Bn | 1.44 Bn | 53.40 Mn |
| 4 | Deckers Outdoor | 12.61 Bn | 5.48 Bn | - | - |
| 5 | Lululemon Athletica | 11.29 Bn | 5.54 Bn | 1.46 Bn | 149.68 Mn |
| 6 | Levi Strauss | 8.02 Bn | 4.60 Bn | 1.07 Bn | 58.60 Mn |
| 7 | V F | 6.86 Bn | 3.48 Bn | 917.04 Mn | 39.58 Mn |
| 8 | Gildan Activewear | 6.55 Bn | 5.47 Bn | 459.76 Mn | -19.85 Mn |
| 9 | Birkenstock Holding | 6.11 Bn | 4.43 Bn | 493.89 Mn | 30.49 Mn |
| 10 | Digital Brands | 1.41 Mn | -13.73 Mn | 324,265.00 | -36,831.00 |
Historic Data
Download Data
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 |
API Access
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_KEYimport 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();