Trump Media & Technology (DJT) Cash & Equivalents (2021 - 2026)
Trump Media & Technology (DJT) reported Cash & Equivalents of $215.46 million for Q2 2026, down 84.0% from $1.34 billion a year earlier and down 13.5% from the prior quarter.
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Analysis
Trump Media & Technology (DJT) Cash & Equivalents (2021 - 2026) Analysis & Trends
At the end of FY2025, Trump Media & Technology posted Cash & Equivalents of $134.56 million, down 21.0% from FY2024.
- Cash & Equivalents has a four-year compound annual growth rate of 350.1% (FY2021 to FY2025).
- By year, Cash & Equivalents came in at $170.24 million in FY2024, $2.57 million in FY2023, $989.00 in FY2022 (-99.7%) and $327,731 in FY2021.
- Five-year quarterly Cash & Equivalents spans a low of $989.00 in Q4 2022 and a high of $1.34 billion in Q2 2025.
- Year over year, Cash & Equivalents gained in two of the last six quarters, with growth averaging 27.2%.
- The high point for year-over-year Cash & Equivalents in five years was Q2 2025 (growth of 290.7%); the low point was Q3 2022 (a decline of 99.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $249.07 million (Q1 2026), $134.56 million (Q4 2025) and $166.07 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,173.87 Bn | 3,931.39 Bn | 73.85 Bn | 55.91 Bn |
| 2 | Meta Platforms | 1,849.67 Bn | 1,552.19 Bn | 49.47 Bn | 15.46 Bn |
| 3 | Netflix | 279.23 Bn | 239.43 Bn | 6.52 Bn | 9.10 Bn |
| 4 | Alibaba Group Holding | 245.86 Bn | 63.73 Bn | 15.11 Bn | 21.06 Bn |
| 5 | Shopify | 196.08 Bn | 173.27 Bn | 1.71 Bn | 1.66 Bn |
| 6 | Uber Technologies | 138.90 Bn | 110.88 Bn | 6.38 Bn | 4.87 Bn |
| 7 | Booking Holdings | 119.48 Bn | 52.53 Bn | - | 17.21 Bn |
| 8 | PDD Holdings | 107.30 Bn | -144.64 Bn | 9.45 Bn | 19.00 Bn |
| 9 | Spotify Technology | 97.33 Bn | 54.56 Bn | 1.86 Bn | 6.90 Bn |
| 10 | Trump Media & Technology | 2.48 Bn | 2.48 Bn | 1.17 Mn | 215.46 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 215.46 Mn |
| Mar 31, 2026 | 249.07 Mn |
| Dec 31, 2025 | 134.56 Mn |
| Sep 30, 2025 | 166.07 Mn |
| Jun 30, 2025 | 1.34 Bn |
| Mar 31, 2025 | 146.13 Mn |
| Dec 31, 2024 | 170.24 Mn |
| Sep 30, 2024 | 372.14 Mn |
| Jun 30, 2024 | 343.95 Mn |
| Mar 31, 2024 | 233.70 Mn |
| Dec 31, 2023 | 2.57 Mn |
| Sep 30, 2023 | 3.29 Mn |
| Jun 30, 2023 | 84,766.00 |
| Mar 31, 2023 | 6.03 Mn |
| Dec 31, 2022 | 989.00 |
| Sep 30, 2022 | 1,012.00 |
| Jun 30, 2022 | 2,969.00 |
| Mar 31, 2022 | 41,493.00 |
| Dec 31, 2021 | 327,731.00 |
| Sep 30, 2021 | 1.49 Mn |
API Access
Trump Media & Technology Cash & Equivalents 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=cash-and-equivalents&ticker=DJT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=DJT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();