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VisionChina Media (VisionChina Media) LT-Debt-to-Total-Asset : 0.00 (As of Sep. 2016)


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What is VisionChina Media 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. VisionChina Media's long-term debt to total assests ratio for the quarter that ended in Sep. 2016 was 0.00.

VisionChina Media's long-term debt to total assets ratio declined from Mar. 2015 (0.52) to Sep. 2016 (0.00). It may suggest that VisionChina Media is progressively becoming less dependent on debt to grow their business.


VisionChina Media LT-Debt-to-Total-Asset Historical Data

The historical data trend for VisionChina Media'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.

* Premium members only.

VisionChina Media LT-Debt-to-Total-Asset Chart

VisionChina Media Annual Data
Trend Dec06 Dec07 Dec08 Dec09 Dec10 Dec11 Dec12 Dec13 Dec14 Dec15
LT-Debt-to-Total-Asset
Get a 7-Day Free Trial Premium Member Only Premium Member Only - - - 0.50 -

VisionChina Media Quarterly Data
Jun11 Sep11 Dec11 Mar12 Jun12 Sep12 Dec12 Mar13 Jun13 Sep13 Dec13 Mar14 Jun14 Sep14 Dec14 Mar15 Jun15 Sep15 Dec15 Sep16
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 0.52 0.43 - - -

VisionChina Media LT-Debt-to-Total-Asset Calculation

VisionChina Media's Long-Term Debt to Total Asset Ratio for the fiscal year that ended in Dec. 2015 is calculated as

LT Debt to Total Assets (A: Dec. 2015 )=Long-Term Debt & Capital Lease Obligation (A: Dec. 2015 )/Total Assets (A: Dec. 2015 )
=0/90.975
=0.00

VisionChina Media's Long-Term Debt to Total Asset Ratio for the quarter that ended in Sep. 2016 is calculated as

LT Debt to Total Assets (Q: Sep. 2016 )=Long-Term Debt & Capital Lease Obligation (Q: Sep. 2016 )/Total Assets (Q: Sep. 2016 )
=0/182.651
=0.00

* 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.


VisionChina Media  (NAS:VISN) 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.


VisionChina Media LT-Debt-to-Total-Asset Related Terms

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VisionChina Media (VisionChina Media) Business Description

Traded in Other Exchanges
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Address
VisionChina operates a real-time advertising network through mobile digital TV displays in mass transportation systems in affluent Chinese cities. The company partners with local mobile and subway TVs either through long-term exclusive agency agreements or joint ventures to offer nationwide advertising services for advertisers. Its advertising network currently covers bus systems in 16 Tier 1 and Tier 2 cities as well as subway systems in three Tier 1 cities.

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