Trump Media & Technology (DJT) Total Liabilities (2021 - 2026)
Trump Media & Technology (DJT) recorded Total Liabilities of $996.21 million in Q2 2026, up 3.2% from $965.13 million a year earlier and up 1.3% from the prior quarter.
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Analysis
Trump Media & Technology (DJT) Total Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2025, Trump Media & Technology reported Total Liabilities of $982.82 million.
- Annual Total Liabilities has a four-year compound annual growth rate of 29.2% (FY2021 to FY2025).
- Across earlier years, Total Liabilities came in at $24.7 million in FY2024 (-64.8%), $70.13 million in FY2023 (-77.3%), $309.07 million in FY2022 (-12.5%) and $353.09 million in FY2021.
- The Q2 2026 figure is the highest quarterly Total Liabilities in data going back to Q3 2021.
- On a year-over-year basis, Total Liabilities rose in 1 of the last four quarters, with an average decline of 53.3%.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 14.1% in Q3 2023, against a decline of 95.6% in Q2 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $983.45 million (Q1 2026), $982.82 million (Q4 2025) and $986.98 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,505.75 Bn | 3,240.65 Bn | 76.16 Bn | 325.76 Bn |
| 2 | Meta Platforms | 1,636.37 Bn | 1,300.89 Bn | 51.23 Bn | 206.45 Bn |
| 3 | Netflix | 264.79 Bn | 226.09 Bn | 6.80 Bn | 29.40 Bn |
| 4 | Alibaba Group Holding | 244.49 Bn | 58.13 Bn | 15.16 Bn | 126.13 Bn |
| 5 | Shopify | 196.00 Bn | 174.81 Bn | 1.78 Bn | 1.92 Bn |
| 6 | Uber Technologies | 145.16 Bn | 115.98 Bn | 6.42 Bn | 42.49 Bn |
| 7 | AppLovin | 136.87 Bn | 125.40 Bn | 1.94 Bn | 5.28 Bn |
| 8 | Spotify Technology | 125.04 Bn | 81.96 Bn | 1.89 Bn | 6.32 Bn |
| 9 | Booking Holdings | 122.68 Bn | 56.42 Bn | - | 38.67 Bn |
| 10 | Trump Media & Technology | 1.12 Bn | -1.60 Bn | 1.17 Mn | 996.21 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 996.21 Mn |
| Mar 31, 2026 | 983.45 Mn |
| Dec 31, 2025 | 982.82 Mn |
| Sep 30, 2025 | 986.98 Mn |
| Jun 30, 2025 | 965.13 Mn |
| Mar 31, 2025 | 27.23 Mn |
| Dec 31, 2024 | 24.70 Mn |
| Sep 30, 2024 | 21.22 Mn |
| Jun 30, 2024 | 14.83 Mn |
| Mar 31, 2024 | 64.16 Mn |
| Dec 31, 2023 | 70.13 Mn |
| Sep 30, 2023 | 368.07 Mn |
| Jun 30, 2023 | 338.85 Mn |
| Mar 31, 2023 | 312.61 Mn |
| Dec 31, 2022 | 309.07 Mn |
| Sep 30, 2022 | 322.71 Mn |
| Jun 30, 2022 | 310.92 Mn |
| Mar 31, 2022 | 307.41 Mn |
| Dec 31, 2021 | 353.09 Mn |
| Sep 30, 2021 | 303.53 Mn |
API Access
Trump Media & Technology 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=DJT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=DJT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();