Integrated Media Technology (IMTE) Total Non-Current Liabilities (2016 - 2025)
Integrated Media Technology (IMTE) recorded Total Non-Current Liabilities of $1.97 million in the quarter ended Dec 31, 2025, up 279.2% from $518,343 a year earlier.
Integrated Media Technology (IMTE) Total Non-Current Liabilities (2016 - 2025) Analysis & Trends
Starting with the quarter ended Dec 31, 2016, Integrated Media Technology's Total Non-Current Liabilities history includes 18 quarters.
- Annual Total Non-Current Liabilities has a five-year compound annual growth rate of -5.1% (years ended Dec 2020 to Dec 2025).
- Across earlier years, Total Non-Current Liabilities came in at $518,343 in the year ended Dec 31, 2024 (-95.3%), $11.14 million in the year ended Dec 31, 2023 (+362.7%), $2.41 million in the year ended Dec 31, 2022 (+128.2%) and $1.06 million in the year ended Dec 31, 2021 (-58.6%).
- The figure for the quarter ended Dec 31, 2025 is the highest quarterly Total Non-Current Liabilities since the quarter ended Jun 30, 2024.
- On a year-over-year basis, Total Non-Current Liabilities rose in two of the last four quarters, with growth averaging 38.6%.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 375.6% in the quarter ended Dec 31, 2023, against a decline of 96.7% in the quarter ended Jun 30, 2025 at the low end.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 862.64 Bn | 825.34 Bn | 49.13 Bn | - |
| 2 | Costco Wholesale | 409.33 Bn | 338.62 Bn | 9.01 Bn | 50.26 Bn |
| 3 | Sysco | 37.65 Bn | 31.90 Bn | 4.13 Bn | 15.21 Bn |
| 4 | Kroger | 35.26 Bn | 21.42 Bn | 7.86 Bn | 41.67 Bn |
| 5 | Dollar General | 27.43 Bn | 22.11 Bn | 3.68 Bn | 22.57 Bn |
| 6 | Caseys General Stores | 22.41 Bn | 20.40 Bn | 1.24 Bn | 4.95 Bn |
| 7 | Dollar Tree | 21.77 Bn | 18.40 Bn | 2.10 Bn | 10.33 Bn |
| 8 | US Foods Holding | 20.27 Bn | 20.06 Bn | 1.92 Bn | 9.44 Bn |
| 9 | Tractor Supply | 16.74 Bn | 15.90 Bn | 1.68 Bn | 9.36 Bn |
| 10 | Integrated Media Technology | 1.65 Mn | 719,973.28 | - | 1.97 Mn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 1.97 Mn |
| Jun 30, 2025 | 433,468.00 |
| Dec 31, 2024 | 518,343.00 |
| Jun 30, 2024 | 13.09 Mn |
| Dec 31, 2023 | 11.14 Mn |
| Jun 30, 2023 | 7.82 Mn |
| Dec 31, 2022 | 2.34 Mn |
| Jun 30, 2022 | 1.79 Mn |
| Dec 31, 2021 | 1.02 Mn |
| Jun 30, 2021 | 2.73 Mn |
| Dec 31, 2020 | 2.70 Mn |
| Jun 30, 2020 | 1.81 Mn |
| Dec 31, 2019 | 1.28 Mn |
| Jun 30, 2019 | 2.15 Mn |
| Dec 31, 2018 | 3.37 Mn |
| Dec 31, 2017 | 12.88 Mn |
| Jun 30, 2017 | 14.76 Mn |
| Dec 31, 2016 | 17.00 Mn |
Integrated Media Technology Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=IMTE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=IMTE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();