Integrated Media Technology (IMTE) Accumulated Expenses (2022 - 2025)
Integrated Media Technology's Accumulated Expenses came in at $583,484 for the quarter ended Dec 31, 2025, down 37.3% from $929,900 a year earlier.
Integrated Media Technology (IMTE) Accumulated Expenses (2022 - 2025) Analysis & Trends
Going back to the quarter ended Dec 31, 2022, Integrated Media Technology's Accumulated Expenses data covers 5 quarters.
- Accumulated Expenses carries a three-year compound annual growth rate of 41.8% (years ended Dec 2022 to Dec 2025).
- Going back by year, Accumulated Expenses was $929,900 in the year ended Dec 31, 2024 (+27.8%), $727,440 in the year ended Dec 31, 2023 (+255.1%) and $204,846 in the year ended Dec 31, 2022.
- The figure for the quarter ended Dec 31, 2025 represents the lowest quarterly Accumulated Expenses since the quarter ended Dec 31, 2022.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Walmart | 824.47 Bn | 787.18 Bn | 49.13 Bn |
| 2 | Costco Wholesale | 403.75 Bn | 333.05 Bn | 9.01 Bn |
| 3 | Sysco | 37.36 Bn | 31.61 Bn | 4.13 Bn |
| 4 | Kroger | 34.63 Bn | 20.79 Bn | 7.86 Bn |
| 5 | Dollar General | 26.38 Bn | 21.06 Bn | 3.68 Bn |
| 6 | Caseys General Stores | 22.49 Bn | 20.48 Bn | 1.24 Bn |
| 7 | Dollar Tree | 21.40 Bn | 18.02 Bn | 2.10 Bn |
| 8 | US Foods Holding | 19.94 Bn | 19.74 Bn | 1.92 Bn |
| 9 | Tractor Supply | 16.33 Bn | 15.49 Bn | 1.68 Bn |
| 10 | Integrated Media Technology | 1.59 Mn | 651,044.67 | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 583,484.00 |
| Jun 30, 2025 | 1.39 Mn |
| Dec 31, 2024 | 929,900.00 |
| Dec 31, 2023 | 727,440.00 |
| Dec 31, 2022 | 197,160.42 |
Integrated 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=IMTE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "IMTE", "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=IMTE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();