Direct Digital Holdings (DRCT) Total Current Liabilities (2021 - 2026)
Direct Digital Holdings' Total Current Liabilities came in at $32.11 million for Q2 2026, up 134.8% from $13.68 million a year earlier and up 13.5% from the prior quarter.
Direct Digital Holdings (DRCT) Total Current Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2025, Direct Digital Holdings' Total Current Liabilities was $26.43 million, up 97.9% from FY2024.
- Total Current Liabilities carries a four-year compound annual growth rate of 28.4% (FY2021 to FY2025).
- Going back by year, Total Current Liabilities was $13.35 million in FY2024 (-66.5%), $39.8 million in FY2023 (+62.0%), $24.57 million in FY2022 (+152.7%) and $9.72 million in FY2021.
- The Q2 2026 figure represents the highest quarterly Total Current Liabilities since Q3 2024.
- Year-over-year, Total Current Liabilities has increased for three consecutive quarters, with growth averaging 18.4% over the last eight quarters.
- The fastest year-over-year change in Total Current Liabilities over five years came in Q4 2022 (growth of 152.7%), and the weakest in Q4 2024 (a decline of 66.5%).
- Business Quant data shows DRCT's Total Current Liabilities at $28.29 million (Q1 2026), $26.43 million (Q4 2025) and $17.75 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | 126.11 Bn |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | 56.38 Bn |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn | 12.13 Bn |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn | 125.01 Bn |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | 1.46 Bn |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 14.87 Bn |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | 21.07 Bn |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | 31.35 Bn |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | 1.25 Bn |
| 10 | Direct Digital Holdings | 1.12 Mn | -7.18 Mn | 2.66 Mn | 32.11 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 32.11 Mn |
| Mar 31, 2026 | 28.29 Mn |
| Dec 31, 2025 | 26.43 Mn |
| Sep 30, 2025 | 17.75 Mn |
| Jun 30, 2025 | 13.68 Mn |
| Mar 31, 2025 | 13.48 Mn |
| Dec 31, 2024 | 13.35 Mn |
| Sep 30, 2024 | 45.30 Mn |
| Jun 30, 2024 | 16.34 Mn |
| Mar 31, 2024 | 20.28 Mn |
| Dec 31, 2023 | 39.80 Mn |
| Sep 30, 2023 | 55.45 Mn |
| Jun 30, 2023 | 29.48 Mn |
| Mar 31, 2023 | 20.97 Mn |
| Dec 31, 2022 | 24.57 Mn |
| Sep 30, 2022 | 22.49 Mn |
| Jun 30, 2022 | 18.09 Mn |
| Mar 31, 2022 | 13.34 Mn |
| Dec 31, 2021 | 9.72 Mn |
Direct Digital Holdings Total Current 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-current-liabilities&ticker=DRCT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=DRCT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();