Trump Media & Technology (DJT) Total Current Liabilities (2021 - 2026)
Trump Media & Technology (DJT) posted Total Current Liabilities of $993.17 million for Q2 2026, compared with $23.35 million a year earlier and up 1.3% from the prior quarter.
Trump Media & Technology (DJT) Total Current Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2025, Trump Media & Technology's Total Current Liabilities came in at $980.1 million.
- Annual Total Current Liabilities shows a four-year compound annual growth rate of 429.1% (FY2021 to FY2025).
- In prior years, Trump Media & Technology's Total Current Liabilities was $17.3 million in FY2024 (-73.5%), $65.28 million in FY2023 (+178.2%), $23.46 million in FY2022 and $1.25 million in FY2021.
- The Q2 2026 figure stands as the highest quarterly Total Current Liabilities in data going back to Q3 2021.
- On a year-over-year basis, Total Current Liabilities increased in two of the last five quarters, with growth averaging 3.3%.
- The strongest year-over-year quarter for Total Current Liabilities in the past five years was Q1 2023, with growth of 523.0%; the weakest was Q4 2024, with a decline of 73.5%.
- According to Business Quant data, Total Current Liabilities for the three prior quarters was $980.23 million (Q1 2026), $980.1 million (Q4 2025) and $38.57 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,142.52 Bn | 3,900.05 Bn | 73.85 Bn | 126.11 Bn |
| 2 | Meta Platforms | 1,882.44 Bn | 1,584.96 Bn | 49.47 Bn | 56.38 Bn |
| 3 | Netflix | 292.72 Bn | 252.92 Bn | 6.52 Bn | 12.13 Bn |
| 4 | Alibaba Group Holding | 250.25 Bn | 68.12 Bn | 15.11 Bn | 125.01 Bn |
| 5 | Shopify | 192.03 Bn | 169.21 Bn | 1.71 Bn | 1.46 Bn |
| 6 | Uber Technologies | 141.56 Bn | 113.53 Bn | 6.38 Bn | 14.87 Bn |
| 7 | Booking Holdings | 121.98 Bn | 55.03 Bn | - | 21.07 Bn |
| 8 | PDD Holdings | 110.31 Bn | -141.62 Bn | 9.45 Bn | 31.35 Bn |
| 9 | AppLovin | 102.49 Bn | 92.52 Bn | 1.70 Bn | 1.25 Bn |
| 10 | Trump Media & Technology | 2.53 Bn | 2.53 Bn | 1.17 Mn | 993.17 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 993.17 Mn |
| Mar 31, 2026 | 980.23 Mn |
| Dec 31, 2025 | 980.10 Mn |
| Sep 30, 2025 | 38.57 Mn |
| Jun 30, 2025 | 23.35 Mn |
| Mar 31, 2025 | 19.97 Mn |
| Dec 31, 2024 | 17.30 Mn |
| Sep 30, 2024 | 14.36 Mn |
| Jun 30, 2024 | 14.30 Mn |
| Mar 31, 2024 | 64.00 Mn |
| Dec 31, 2023 | 65.28 Mn |
| Sep 30, 2023 | 53.76 Mn |
| Jun 30, 2023 | 37.66 Mn |
| Mar 31, 2023 | 25.51 Mn |
| Dec 31, 2022 | 23.46 Mn |
| Sep 30, 2022 | 15.47 Mn |
| Jun 30, 2022 | 710,108.00 |
| Mar 31, 2022 | 4.10 Mn |
| Dec 31, 2021 | 1.25 Mn |
| Sep 30, 2021 | 214,117.00 |
Trump Media & Technology 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=DJT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "ticker": "DJT", "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=DJT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();