Trump Media & Technology (DJT) Change in Accrued Expenses (2021 - 2026)
Trump Media & Technology (DJT) reported Change in Accured Expenses of $1.55 million for Q2 2026, down 55.1% from $3.45 million a year earlier and down 93.7% from the prior quarter.
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Analysis
Trump Media & Technology (DJT) Change in Accrued Expenses (2021 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Trump Media & Technology's Change in Accured Expenses came in at $46.09 million, up 653.7% year-over-year; for FY2025, it came in at $26.8 million, up 384.1% from FY2024.
- Change in Accured Expenses has a four-year compound annual growth rate of 126.0% (FY2021 to FY2025).
- By year, Change in Accured Expenses came in at $5.54 million in FY2024 (+315.6%), $1.33 million in FY2023, -$542,700 in FY2022 and $1.03 million in FY2021.
- The Q2 2026 figure ranks as the lowest quarterly Change in Accured Expenses since Q3 2024.
- Year over year, Change in Accured Expenses gained in two of the last five quarters, with growth averaging 148.7%.
- The high point for year-over-year Change in Accured Expenses in five years was Q1 2026 (growth of 637.0%); the low point was Q2 2024 (a decline of 90.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $24.52 million (Q1 2026), $3.14 million (Q4 2025) and $16.89 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,565.83 Bn | 3,300.73 Bn | 76.16 Bn | -1.17 Bn |
| 2 | Meta Platforms | 1,630.80 Bn | 1,295.32 Bn | 51.23 Bn | 1.94 Bn |
| 3 | Netflix | 263.47 Bn | 224.77 Bn | 6.80 Bn | 85.51 Mn |
| 4 | Alibaba Group Holding | 246.22 Bn | 59.86 Bn | 15.16 Bn | - |
| 5 | Shopify | 193.15 Bn | 171.95 Bn | 1.78 Bn | - |
| 6 | Uber Technologies | 141.26 Bn | 112.08 Bn | 6.42 Bn | 880.00 Mn |
| 7 | AppLovin | 135.29 Bn | 123.82 Bn | 1.94 Bn | 20.90 Mn |
| 8 | Spotify Technology | 122.22 Bn | 79.14 Bn | 1.89 Bn | - |
| 9 | Booking Holdings | 121.18 Bn | 54.92 Bn | - | -1.61 Bn |
| 10 | Trump Media & Technology | 1.13 Bn | -1.60 Bn | 1.17 Mn | 1.55 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.55 Mn |
| Mar 31, 2026 | 24.52 Mn |
| Dec 31, 2025 | 3.14 Mn |
| Sep 30, 2025 | 16.89 Mn |
| Jun 30, 2025 | 3.45 Mn |
| Mar 31, 2025 | 3.33 Mn |
| Dec 31, 2024 | 3.50 Mn |
| Sep 30, 2024 | -4.16 Mn |
| Jun 30, 2024 | 1.13 Mn |
| Mar 31, 2024 | 5.07 Mn |
| Dec 31, 2023 | -26.98 Mn |
| Sep 30, 2023 | 14.99 Mn |
| Jun 30, 2023 | 11.97 Mn |
| Mar 31, 2023 | 1.35 Mn |
| Dec 31, 2022 | -10.41 Mn |
| Sep 30, 2022 | 4.31 Mn |
| Jun 30, 2022 | 3.12 Mn |
| Mar 31, 2022 | 2.43 Mn |
| Dec 31, 2021 | 973,851.00 |
API Access
Trump Media & Technology Change in Accrued Expenses 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=change-in-accured-expenses&ticker=DJT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=DJT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();