Integrated Media Technology (IMTE) Total Current Liabilities (2016 - 2025)
Integrated Media Technology (IMTE) posted Total Current Liabilities of $1.99 million for the quarter ended Dec 31, 2025, down 87.7% from $16.14 million a year earlier.
Integrated Media Technology (IMTE) Total Current Liabilities (2016 - 2025) Analysis & Trends
Since the quarter ended Dec 31, 2016, Integrated Media Technology has reported Total Current Liabilities for 18 quarters.
- Annual Total Current Liabilities shows a five-year compound annual growth rate of -8.0% (years ended Dec 2020 to Dec 2025).
- In prior years, Integrated Media Technology's Total Current Liabilities was $16.14 million in the year ended Dec 31, 2024 (+576.2%), $2.39 million in the year ended Dec 31, 2023 (-68.1%), $7.49 million in the year ended Dec 31, 2022 (+2.5%) and $7.31 million in the year ended Dec 31, 2021 (+142.8%).
- The figure for the quarter ended Dec 31, 2025 stands as the lowest quarterly Total Current Liabilities in data going back to the quarter ended Dec 31, 2016.
- On a year-over-year basis, Total Current Liabilities increased in two of the last four quarters, with growth averaging 241.1%.
- The strongest year-over-year quarter for Total Current Liabilities in the past five years was the quarter ended Dec 31, 2024, with growth of 576.2%; the weakest was the quarter ended Dec 31, 2025, with a decline of 87.7%.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 862.64 Bn | 825.34 Bn | 49.13 Bn | 115.63 Bn |
| 2 | Costco Wholesale | 409.33 Bn | 338.62 Bn | 9.01 Bn | 42.13 Bn |
| 3 | Sysco | 37.65 Bn | 31.90 Bn | 4.13 Bn | 10.52 Bn |
| 4 | Kroger | 35.26 Bn | 21.42 Bn | 7.86 Bn | 18.42 Bn |
| 5 | Dollar General | 27.43 Bn | 22.11 Bn | 3.68 Bn | 7.27 Bn |
| 6 | Caseys General Stores | 22.41 Bn | 20.40 Bn | 1.24 Bn | 1.36 Bn |
| 7 | Dollar Tree | 21.77 Bn | 18.40 Bn | 2.10 Bn | 3.30 Bn |
| 8 | US Foods Holding | 20.27 Bn | 20.06 Bn | 1.92 Bn | 3.91 Bn |
| 9 | Tractor Supply | 16.74 Bn | 15.90 Bn | 1.68 Bn | 3.19 Bn |
| 10 | Integrated Media Technology | 1.65 Mn | 719,973.28 | - | 1.99 Mn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 1.99 Mn |
| Jun 30, 2025 | 16.86 Mn |
| Dec 31, 2024 | 16.14 Mn |
| Jun 30, 2024 | 2.63 Mn |
| Dec 31, 2023 | 2.39 Mn |
| Jun 30, 2023 | 7.82 Mn |
| Dec 31, 2022 | 13.65 Mn |
| Jun 30, 2022 | 6.87 Mn |
| Dec 31, 2021 | 7.09 Mn |
| Jun 30, 2021 | 6.18 Mn |
| Dec 31, 2020 | 3.19 Mn |
| Jun 30, 2020 | 4.86 Mn |
| Dec 31, 2019 | 12.29 Mn |
| Jun 30, 2019 | 9.02 Mn |
| Dec 31, 2018 | 3.39 Mn |
| Dec 31, 2017 | 2.86 Mn |
| Jun 30, 2017 | 4.96 Mn |
| Dec 31, 2016 | 4.85 Mn |
Integrated Media Technology Total 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-current-liabilities&ticker=IMTE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=IMTE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();