Trump Media & Technology (DJT) Operating Expenses (2021 - 2026)
Trump Media & Technology's Operating Expenses was $165.17 million in Q2 2026, up 272.1% from $44.39 million a year earlier but down 43.9% from the prior quarter.
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Analysis
Trump Media & Technology (DJT) Operating Expenses (2021 - 2026) Analysis & Trends
On a trailing twelve-month basis, Trump Media & Technology's Operating Expenses was $951.51 million through Jun 30, 2026, up 510.8% year-over-year; for FY2025, it came in at $576.73 million, up 204.1% from FY2024.
- Operating Expenses shows a four-year compound annual growth rate of 393.9% (FY2021 to FY2025).
- In earlier years, Operating Expenses was $189.66 million in FY2024 (+843.6%), $20.1 million in FY2023 (-18.7%), $24.72 million in FY2022 and $969,195 in FY2021.
- Quarterly Operating Expenses has moved between $160,072 (Q3 2021) and $433.35 million (Q4 2025) over five years.
- Compared with a year earlier, Operating Expenses has increased for five straight quarters, with growth averaging 388.4% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was Q4 2025 (growth of 834.5%); the worst was Q4 2023 (a decline of 71.4%).
- Per Business Quant data, DJT's Operating Expenses in the three quarters before Q2 2026 was $294.36 million (Q1 2026), $433.35 million (Q4 2025) and $58.63 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | 79.03 Bn |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | 42.03 Bn |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn | 1.51 Bn |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn | -5.17 Bn |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | 1.22 Bn |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 12.30 Bn |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | 4.85 Bn |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | -5.39 Bn |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | 429.41 Mn |
| 10 | Trump Media & Technology | 2.53 Bn | 2.53 Bn | 1.17 Mn | 165.17 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 165.17 Mn |
| Mar 31, 2026 | 294.36 Mn |
| Dec 31, 2025 | 433.35 Mn |
| Sep 30, 2025 | 58.63 Mn |
| Jun 30, 2025 | 44.39 Mn |
| Mar 31, 2025 | 40.36 Mn |
| Dec 31, 2024 | 46.37 Mn |
| Sep 30, 2024 | 24.67 Mn |
| Jun 30, 2024 | 19.50 Mn |
| Mar 31, 2024 | 99.12 Mn |
| Dec 31, 2023 | 6.07 Mn |
| Sep 30, 2023 | 4.10 Mn |
| Jun 30, 2023 | 4.92 Mn |
| Mar 31, 2023 | 4.92 Mn |
| Dec 31, 2022 | 21.19 Mn |
| Sep 30, 2022 | 2.12 Mn |
| Jun 30, 2022 | 864,594.00 |
| Mar 31, 2022 | 397,734.00 |
| Dec 31, 2021 | 807,898.00 |
| Sep 30, 2021 | 160,072.00 |
API Access
Trump Media & Technology Operating 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=operating-expenses&ticker=DJT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=DJT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();