Integrated Media Technology (IMTE) Convertible Debt (2016 - 2025)
Integrated Media Technology (IMTE) recorded Convertible Debt of $14.69 million in the quarter ended Jun 30, 2025.
Analysis
Integrated Media Technology (IMTE) Convertible Debt (2016 - 2025) Analysis & Trends
As of Dec 31, 2024, Integrated Media Technology reported Convertible Debt of $14.31 million, up 28.4% from the prior year.
- Annual Convertible Debt has a five-year compound annual growth rate of 36.0% (years ended Dec 2019 to Dec 2024).
- Across earlier years, Convertible Debt came in at $11.14 million in the year ended Dec 31, 2023 and $1.52 million in the year ended Dec 31, 2020 (-50.6%).
- The figure for the quarter ended Jun 30, 2025 is the highest quarterly Convertible Debt in data going back to the quarter ended Dec 31, 2016.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Walmart | 862.64 Bn | 825.34 Bn | 49.13 Bn |
| 2 | Costco Wholesale | 409.33 Bn | 338.62 Bn | 9.01 Bn |
| 3 | Sysco | 37.65 Bn | 31.90 Bn | 4.13 Bn |
| 4 | Kroger | 35.26 Bn | 21.42 Bn | 7.86 Bn |
| 5 | Dollar General | 27.43 Bn | 22.11 Bn | 3.68 Bn |
| 6 | Caseys General Stores | 22.41 Bn | 20.40 Bn | 1.24 Bn |
| 7 | Dollar Tree | 21.77 Bn | 18.40 Bn | 2.10 Bn |
| 8 | US Foods Holding | 20.27 Bn | 20.06 Bn | 1.92 Bn |
| 9 | Tractor Supply | 16.74 Bn | 15.90 Bn | 1.68 Bn |
| 10 | Integrated Media Technology | 1.65 Mn | 719,973.28 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2025 | 14.69 Mn |
| Dec 31, 2024 | 14.31 Mn |
| Dec 31, 2023 | 11.14 Mn |
| Jun 30, 2021 | 1.19 Mn |
| Dec 31, 2020 | 1.61 Mn |
| Jun 30, 2020 | 1.80 Mn |
| Dec 31, 2019 | 3.02 Mn |
| Jun 30, 2019 | 2.74 Mn |
| Dec 31, 2018 | 2.35 Mn |
| Dec 31, 2017 | 37,810.55 |
| Jun 30, 2017 | 24,199.49 |
| Dec 31, 2016 | 23,503.21 |
API Access
Integrated Media Technology Convertible Debt 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=convertible-debt&ticker=IMTE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "convertible-debt", "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=convertible-debt&ticker=IMTE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();