Digital Brands (DBGI) FCF Margin (2020 - 2026)
Digital Brands (DBGI) recorded FCF Margin of -435.88% in Q2 2026, down 365.83 percentage points from -70.04% a year earlier and down 46.82 percentage points from the prior quarter.
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Analysis
Digital Brands (DBGI) FCF Margin (2020 - 2026) Analysis & Trends
On a TTM basis, Digital Brands' FCF Margin came in at -349.00% as of Jun 30, 2026, down 241.25 percentage points year-over-year; for FY2025, it came in at -215.11%, down 161.87 percentage points from FY2024.
- Annual FCF Margin has a five-year change of -175.75 percentage points (FY2020 to FY2025).
- Across earlier years, FCF Margin came in at -53.24% in FY2024 (-12.73 pp), -40.51% in FY2023 (+64.28 pp), -104.79% in FY2022 (+83.23 pp) and -188.03% in FY2021 (-148.66 pp).
- The Q2 2026 figure is the lowest quarterly FCF Margin since Q2 2021.
- On a year-over-year basis, FCF Margin has declined for seven consecutive quarters, with an average year-over-year change of -156.52 percentage points over the last eight quarters.
- Peak year-over-year performance for FCF Margin in the last five years was a gain of 383.53 percentage points in Q1 2022, against a drop of 365.83 percentage points in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at -389.06% (Q1 2026), -294.48% (Q4 2025) and -306.53% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FCF Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 56.18 Bn | 22.38 Bn | 4.80 Bn | -0.57% |
| 2 | Tapestry | 23.99 Bn | 19.95 Bn | 1.56 Bn | 24.99% |
| 3 | Ralph Lauren | 22.76 Bn | 14.85 Bn | 1.44 Bn | 14.59% |
| 4 | Deckers Outdoor | 12.61 Bn | 5.48 Bn | - | - |
| 5 | Lululemon Athletica | 11.29 Bn | 5.54 Bn | 1.46 Bn | 9.32% |
| 6 | Levi Strauss | 8.02 Bn | 4.60 Bn | 1.07 Bn | 2.75% |
| 7 | V F | 6.86 Bn | 3.48 Bn | 917.04 Mn | -6.11% |
| 8 | Gildan Activewear | 6.55 Bn | 5.47 Bn | 459.76 Mn | 23.21% |
| 9 | Birkenstock Holding | 6.11 Bn | 4.43 Bn | 493.89 Mn | 30.61% |
| 10 | Digital Brands | 1.41 Mn | -13.73 Mn | 324,265.00 | -435.88% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -435.88% |
| Mar 31, 2026 | -389.06% |
| Dec 31, 2025 | -294.48% |
| Sep 30, 2025 | -306.53% |
| Jun 30, 2025 | -70.04% |
| Mar 31, 2025 | -240.82% |
| Dec 31, 2024 | -128.60% |
| Sep 30, 2024 | -22.19% |
| Jun 30, 2024 | -47.86% |
| Mar 31, 2024 | -35.07% |
| Dec 31, 2023 | 15.88% |
| Sep 30, 2023 | -106.72% |
| Jun 30, 2023 | -28.68% |
| Mar 31, 2023 | -38.12% |
| Dec 31, 2022 | -89.04% |
| Sep 30, 2022 | -78.24% |
| Jun 30, 2022 | -225.49% |
| Mar 31, 2022 | -18.67% |
| Dec 31, 2021 | -69.13% |
| Sep 30, 2021 | -225.74% |
API Access
Digital Brands FCF Margin 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=fcf-margin&ticker=DBGI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "fcf-margin", "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=fcf-margin&ticker=DBGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();