Direct Digital Holdings (DRCT) Total Liabilities (2021 - 2026)
Direct Digital Holdings (DRCT) reported Total Liabilities of $32.75 million for Q2 2026, down 31.6% from $47.91 million a year earlier but up 13.0% from the prior quarter.
Direct Digital Holdings (DRCT) Total Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2025, Direct Digital Holdings posted Total Liabilities of $27.18 million, down 40.6% from FY2024.
- Total Liabilities has a four-year compound annual growth rate of -7.0% (FY2021 to FY2025).
- By year, Total Liabilities came in at $45.74 million in FY2024 (-38.5%), $74.35 million in FY2023 (+41.5%), $52.53 million in FY2022 (+44.4%) and $36.37 million in FY2021.
- Five-year quarterly Total Liabilities spans a low of $27.18 million in Q4 2025 and a high of $82.89 million in Q3 2023.
- Year over year, Total Liabilities has now declined in each of the last eight quarters, with an average decline of 33.9% over the last eight quarters.
- The high point for year-over-year Total Liabilities in five years was Q3 2023 (growth of 68.5%); the low point was Q3 2024 (a decline of 42.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $28.98 million (Q1 2026), $27.18 million (Q4 2025) and $29.23 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,039.11 Bn | 3,796.64 Bn | 73.85 Bn | 281.50 Bn |
| 2 | Meta Platforms | 1,801.21 Bn | 1,503.73 Bn | 49.47 Bn | 188.74 Bn |
| 3 | Netflix | 274.38 Bn | 234.58 Bn | 6.52 Bn | 28.30 Bn |
| 4 | Alibaba Group Holding | 241.13 Bn | 54.91 Bn | 15.11 Bn | 125.97 Bn |
| 5 | Shopify | 229.33 Bn | 206.52 Bn | 1.71 Bn | 1.79 Bn |
| 6 | Uber Technologies | 139.35 Bn | 111.15 Bn | 6.38 Bn | 37.58 Bn |
| 7 | Booking Holdings | 122.09 Bn | 55.14 Bn | - | 40.47 Bn |
| 8 | PDD Holdings | 109.57 Bn | -134.21 Bn | 9.45 Bn | 31.74 Bn |
| 9 | Spotify Technology | 107.95 Bn | 65.45 Bn | 1.86 Bn | 6.13 Bn |
| 10 | Direct Digital Holdings | 177,250.00 | -2.77 Mn | 2.66 Mn | 32.75 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 32.75 Mn |
| Mar 31, 2026 | 28.98 Mn |
| Dec 31, 2025 | 27.18 Mn |
| Sep 30, 2025 | 29.23 Mn |
| Jun 30, 2025 | 47.91 Mn |
| Mar 31, 2025 | 47.13 Mn |
| Dec 31, 2024 | 45.74 Mn |
| Sep 30, 2024 | 48.02 Mn |
| Jun 30, 2024 | 58.99 Mn |
| Mar 31, 2024 | 60.30 Mn |
| Dec 31, 2023 | 74.35 Mn |
| Sep 30, 2023 | 82.89 Mn |
| Jun 30, 2023 | 57.13 Mn |
| Mar 31, 2023 | 48.82 Mn |
| Dec 31, 2022 | 52.53 Mn |
| Sep 30, 2022 | 49.20 Mn |
| Jun 30, 2022 | 41.13 Mn |
| Mar 31, 2022 | 33.90 Mn |
| Dec 31, 2021 | 36.37 Mn |
| Mar 31, 2021 | 34.44 Mn |
Direct Digital Holdings Total Liabilities 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=total-liabilities&ticker=DRCT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "DRCT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=total-liabilities&ticker=DRCT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();