Trump Media & Technology (DJT) Accumulated Expenses (2021 - 2023)
Trump Media & Technology (DJT) reported Accumulated Expenses of $47.1 million for Q4 2023, up 160.9% from $18.05 million a year earlier and up 7.9% from the prior quarter.
Trump Media & Technology (DJT) Accumulated Expenses (2021 - 2023) Analysis & Trends
Dating back to Q4 2021, Trump Media & Technology's Accumulated Expenses record includes 9 quarters.
- By year, Accumulated Expenses came in at $18.05 million in FY2022 and $1.03 million in FY2021.
- The Q4 2023 figure ranks as the highest quarterly Accumulated Expenses in data going back to Q4 2021.
- Year over year, Accumulated Expenses has now increased in each of the last four quarters, with growth averaging 311.6% over the last four quarters.
- Per Business Quant data, the three quarters before Q4 2023 came in at $43.67 million (Q3 2023), $29.59 million (Q2 2023) and $18.52 million (Q1 2023).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 4,173.87 Bn | 3,931.39 Bn | 73.85 Bn |
| 2 | Meta Platforms | 1,849.67 Bn | 1,552.19 Bn | 49.47 Bn |
| 3 | Netflix | 279.23 Bn | 239.43 Bn | 6.52 Bn |
| 4 | Alibaba Group Holding | 245.86 Bn | 63.73 Bn | 15.11 Bn |
| 5 | Shopify | 196.08 Bn | 173.27 Bn | 1.71 Bn |
| 6 | Uber Technologies | 138.90 Bn | 110.88 Bn | 6.38 Bn |
| 7 | Booking Holdings | 119.48 Bn | 52.53 Bn | - |
| 8 | PDD Holdings | 107.30 Bn | -144.64 Bn | 9.45 Bn |
| 9 | Spotify Technology | 97.33 Bn | 54.56 Bn | 1.86 Bn |
| 10 | Trump Media & Technology | 2.48 Bn | 2.48 Bn | 1.17 Mn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 47.10 Mn |
| Sep 30, 2023 | 43.67 Mn |
| Jun 30, 2023 | 29.59 Mn |
| Mar 31, 2023 | 18.52 Mn |
| Dec 31, 2022 | 18.05 Mn |
| Sep 30, 2022 | 10.90 Mn |
| Jun 30, 2022 | 6.58 Mn |
| Mar 31, 2022 | 3.46 Mn |
| Dec 31, 2021 | 1.03 Mn |
Trump Media & Technology Accumulated 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=accumulated-expenses&ticker=DJT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=DJT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();