Trump Media & Technology (DJT) Non-Current Assets (2021 - 2026)
Trump Media & Technology's Non-Current Assets came in at $1.07 billion for Q2 2026, up 610.9% from $150.52 million a year earlier but down 9.7% from the prior quarter.
Powered by 
Analysis
Trump Media & Technology (DJT) Non-Current Assets (2021 - 2026) Analysis & Trends
At the end of FY2025, Trump Media & Technology's Non-Current Assets was $1.43 billion, up 826.1% from FY2024.
- Non-Current Assets carries a four-year compound annual growth rate of 48.5% (FY2021 to FY2025).
- Going back by year, Non-Current Assets was $154.03 million in FY2024, $382,400 in FY2023 (-99.9%), $300.33 million in FY2022 (+2.4%) and $293.42 million in FY2021.
- The five-year range for quarterly Non-Current Assets is $337,500 (Q1 2024) to $1.62 billion (Q3 2025).
- Year-over-year, Non-Current Assets has increased for four consecutive quarters, with growth averaging 600.9% over the last five quarters.
- The fastest year-over-year change in Non-Current Assets over five years came in Q3 2025 (growth of 937.8%), and the weakest in Q1 2024 (a decline of 99.9%).
- Business Quant data shows DJT's Non-Current Assets at $1.18 billion (Q1 2026), $1.43 billion (Q4 2025) and $1.62 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,505.75 Bn | 3,240.65 Bn | 76.16 Bn | 628.65 Bn |
| 2 | Meta Platforms | 1,636.37 Bn | 1,300.89 Bn | 51.23 Bn | 358.94 Bn |
| 3 | Netflix | 264.79 Bn | 226.09 Bn | 6.80 Bn | 45.46 Bn |
| 4 | Alibaba Group Holding | 244.49 Bn | 58.13 Bn | 15.16 Bn | 182.35 Bn |
| 5 | Shopify | 196.00 Bn | 174.81 Bn | 1.78 Bn | 6.88 Bn |
| 6 | Uber Technologies | 145.16 Bn | 115.98 Bn | 6.42 Bn | 53.20 Bn |
| 7 | AppLovin | 136.87 Bn | 125.40 Bn | 1.94 Bn | 2.88 Bn |
| 8 | Spotify Technology | 125.04 Bn | 81.96 Bn | 1.89 Bn | - |
| 9 | Booking Holdings | 122.68 Bn | 56.42 Bn | - | 6.67 Bn |
| 10 | Trump Media & Technology | 1.12 Bn | -1.60 Bn | 1.17 Mn | 1.07 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.07 Bn |
| Mar 31, 2026 | 1.18 Bn |
| Dec 31, 2025 | 1.43 Bn |
| Sep 30, 2025 | 1.62 Bn |
| Jun 30, 2025 | 150.52 Mn |
| Mar 31, 2025 | 152.03 Mn |
| Dec 31, 2024 | 154.03 Mn |
| Sep 30, 2024 | 155.63 Mn |
| Jun 30, 2024 | 2.97 Mn |
| Mar 31, 2024 | 337,500.00 |
| Dec 31, 2023 | 382,400.00 |
| Sep 30, 2023 | 307.20 Mn |
| Jun 30, 2023 | 307.14 Mn |
| Mar 31, 2023 | 303.52 Mn |
| Dec 31, 2022 | 300.33 Mn |
| Sep 30, 2022 | 297.88 Mn |
| Jun 30, 2022 | 293.73 Mn |
| Mar 31, 2022 | 293.39 Mn |
| Dec 31, 2021 | 293.42 Mn |
| Sep 30, 2021 | 293.25 Mn |
API Access
Trump Media & Technology Non-Current Assets 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=non-current-assets&ticker=DJT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=DJT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();