NIHK (Video River Networks) LT-Debt-to-Total-Asset: (As of Dec. 2025)

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What is Video River Networks LT-Debt-to-Total-Asset?

LT Debt to Total Assets is a measurement representing the percentage of a corporation's assets that are financed with loans and financial obligations lasting more than one year. The ratio provides a general measure of the financial position of a company, including its ability to meet financial requirements for outstanding loans. It is calculated as a company's Long-Term Debt & Capital Lease Obligationdivide by its Total Assets. Video River Networks's long-term debt to total assests ratio for the quarter that ended in Dec. 2025 was .

Video River Networks's long-term debt to total assets ratio declined from Dec. 2024 (0.05) to Dec. 2025 (). It may suggest that Video River Networks is progressively becoming less dependent on debt to grow their business.

Video River Networks  (OTCPK:NIHK) LT-Debt-to-Total-Asset Explanation

LT Debt to Total Asset is a measurement representing the percentage of a corporation's assets that are financed with loans and financial obligations lasting more than one year. The ratio provides a general measure of the financial position of a company, including its ability to meet financial requirements for outstanding loans. A year-over-year decrease in this metric would suggest the company is progressively becoming less dependent on debt to grow their business.

Video River Networks LT-Debt-to-Total-Asset Related Terms

Video River Networks LT-Debt-to-Total-Asset Historical Data

* Premium members only.

The historical data trend for Video River Networks's LT-Debt-to-Total-Asset can be seen below:

* For Operating Data section: All numbers are indicated by the unit behind each term and all currency related amount are in USD.
* For other sections: All numbers are in millions except for per share data, ratio, and percentage. All currency related amount are indicated in the company's associated stock exchange currency.

Video River Networks LT-Debt-to-Total-Asset Chart

Video River Networks Annual Data
Trend Dec08 Dec17 Dec18 Dec19 Dec20 Dec21 Dec22 Dec23 Dec24 Dec25
LT-Debt-to-Total-Asset
Get a 7-Day Free Trial Premium Member Only Premium Member Only 0.70 0.12 0.09 0.05

Video River Networks Quarterly Data
Sep20 Dec20 Mar21 Jun21 Sep21 Dec21 Mar22 Jun22 Sep22 Mar23 Jun23 Sep23 Mar24 Jun24 Sep24 Dec24 Mar25 Jun25 Sep25 Dec25
LT-Debt-to-Total-Asset Get a 7-Day Free Trial Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only 0.05 0.04 0.03

Video River Networks LT-Debt-to-Total-Asset Calculation

Video River Networks's Long-Term Debt to Total Asset Ratio for the fiscal year that ended in Dec. 2025 is calculated as

LT Debt to Total Assets (A: Dec. 2025 )=Long-Term Debt & Capital Lease Obligation (A: Dec. 2025 )/Total Assets (A: Dec. 2025 )
=0.051634/1.492277
=

Video River Networks's Long-Term Debt to Total Asset Ratio for the quarter that ended in Dec. 2025 is calculated as

LT Debt to Total Assets (Q: Dec. 2025 )=Long-Term Debt & Capital Lease Obligation (Q: Dec. 2025 )/Total Assets (Q: Dec. 2025 )
=0.051634/1.492277
=

* For Operating Data section: All numbers are indicated by the unit behind each term and all currency related amount are in USD.
* For other sections: All numbers are in millions except for per share data, ratio, and percentage. All currency related amount are indicated in the company's associated stock exchange currency.

Video River Networks Business Description

Address 370 Amapola Avenue, Suite 200A, Torrance, CA, USA, 90501
Video River Networks Inc is a technology holding firm. The company traditionally deals in Power Controls, Battery Technology, Wireless Technology, and residential utility meters and remote, mission-critical devices businesses in North America, and then Company added real estate operations to its business model and started devoting capital to real estate holding operations for specialized assets including, affordable housing, opportunity zones properties, medical real estate investments, industrial and commercial real estate, and other real estate related services. The company focuses on operating and managing a portfolio of Electric Vehicle Charge-points, Artificial Intelligence, Machine Learning, and Robotics (EV-AI-ML-R) assets, businesses, and related operations.