Digital Brands (DBGI) Depreciation & Amortization (CF) (2020 - 2026)
Digital Brands (DBGI) reported Depreciation & Amortization (CF) of $147,750 for Q2 2026, down 64.7% from $418,225 a year earlier but up 1.4% from the prior quarter.
Powered by 
Analysis
Digital Brands (DBGI) Depreciation & Amortization (CF) (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Digital Brands' Depreciation & Amortization (CF) came in at $1.55 million, down 18.6% year-over-year; for FY2025, it came in at $2.09 million, down 16.5% from FY2024.
- Depreciation & Amortization (CF) has a five-year compound annual growth rate of 28.2% (FY2020 to FY2025).
- By year, Depreciation & Amortization (CF) came in at $2.51 million in FY2024 (-22.9%), $3.25 million in FY2023 (+96.5%), $1.65 million in FY2022 (+35.5%) and $1.22 million in FY2021 (+102.2%).
- Five-year quarterly Depreciation & Amortization (CF) spans a low of -$15,963 in Q4 2022 and a high of $959,207 in Q1 2023.
- Year over year, Depreciation & Amortization (CF) gained in 1 of the last eight quarters, with an average decline of 26.8%.
- The high point for year-over-year Depreciation & Amortization (CF) in five years was Q1 2022 (growth of 448.2%); the low point was Q1 2026 (a decline of 65.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $145,650 (Q1 2026), $838,186 (Q4 2025) and $418,213 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 56.83 Bn | 23.03 Bn | 4.80 Bn | 193.00 Mn |
| 2 | Tapestry | 23.21 Bn | 19.17 Bn | 1.56 Bn | 45.20 Mn |
| 3 | Ralph Lauren | 22.97 Bn | 15.07 Bn | 1.44 Bn | 58.90 Mn |
| 4 | Deckers Outdoor | 12.62 Bn | 5.49 Bn | - | - |
| 5 | Lululemon Athletica | 11.40 Bn | 5.65 Bn | 1.46 Bn | 142.33 Mn |
| 6 | Levi Strauss | 8.18 Bn | 4.76 Bn | 1.07 Bn | 54.80 Mn |
| 7 | V F | 6.83 Bn | 3.45 Bn | 917.04 Mn | 57.79 Mn |
| 8 | Gildan Activewear | 6.49 Bn | 5.41 Bn | 459.76 Mn | 68.32 Mn |
| 9 | Birkenstock Holding | 6.25 Bn | 4.57 Bn | 493.89 Mn | 40.22 Mn |
| 10 | Digital Brands | 879,129.08 | -14.26 Mn | 324,265.00 | 147,750.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 147,750.00 |
| Mar 31, 2026 | 145,650.00 |
| Dec 31, 2025 | 838,186.00 |
| Sep 30, 2025 | 418,213.00 |
| Jun 30, 2025 | 418,225.00 |
| Mar 31, 2025 | 418,225.00 |
| Dec 31, 2024 | 447,960.00 |
| Sep 30, 2024 | 618,544.00 |
| Jun 30, 2024 | 719,547.00 |
| Mar 31, 2024 | 719,547.00 |
| Dec 31, 2023 | 764,028.00 |
| Sep 30, 2023 | 719,547.00 |
| Jun 30, 2023 | 806,412.00 |
| Mar 31, 2023 | 959,207.00 |
| Dec 31, 2022 | -15,963.00 |
| Sep 30, 2022 | 556,594.00 |
| Jun 30, 2022 | 561,184.00 |
| Mar 31, 2022 | 552,004.00 |
| Dec 31, 2021 | 568,004.00 |
| Sep 30, 2021 | 361,071.00 |
API Access
Digital Brands Depreciation & Amortization (CF) 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=depreciation-and-amortization-cf&ticker=DBGI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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=depreciation-and-amortization-cf&ticker=DBGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();