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GetSwift Technologies (GetSwift Technologies) LT-Debt-to-Total-Asset : 0.00 (As of Mar. 2021)


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What is GetSwift Technologies 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. GetSwift Technologies's long-term debt to total assests ratio for the quarter that ended in Mar. 2021 was 0.00.

GetSwift Technologies's long-term debt to total assets ratio stayed the same from Dec. 2019 (0.00) to Mar. 2021 (0.00).


GetSwift Technologies LT-Debt-to-Total-Asset Historical Data

The historical data trend for GetSwift Technologies'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.

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GetSwift Technologies LT-Debt-to-Total-Asset Chart

GetSwift Technologies Annual Data
Trend Jun16 Jun17 Jun18 Jun19 Jun20
LT-Debt-to-Total-Asset
- - - - -

GetSwift Technologies Quarterly Data
Mar17 Jun17 Sep17 Dec17 Mar18 Jun18 Sep18 Dec18 Mar19 Jun19 Sep19 Dec19 Mar20 Jun20 Sep20 Mar21
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 - - - - -

GetSwift Technologies LT-Debt-to-Total-Asset Calculation

GetSwift Technologies's Long-Term Debt to Total Asset Ratio for the fiscal year that ended in Jun. 2020 is calculated as

LT Debt to Total Assets (A: Jun. 2020 )=Long-Term Debt & Capital Lease Obligation (A: Jun. 2020 )/Total Assets (A: Jun. 2020 )
=0/52.19
=0.00

GetSwift Technologies's Long-Term Debt to Total Asset Ratio for the quarter that ended in Mar. 2021 is calculated as

LT Debt to Total Assets (Q: Mar. 2021 )=Long-Term Debt & Capital Lease Obligation (Q: Mar. 2021 )/Total Assets (Q: Mar. 2021 )
=0/32.917
=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.


GetSwift Technologies  (OTCPK:GTSWF) 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.


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GetSwift Technologies (GetSwift Technologies) Business Description

Traded in Other Exchanges
N/A
Address
1185 6th Avenue, New York, NY, USA, 10036
GetSwift Technologies Ltd is a technology and services company that offers a suite of software, products, and services through its operating subsidiaries, which are focused on business and logistics and automation, data management and analysis, communications, information security, and infrastructure optimization and also includes e-commerce and marketplace ordering, workforce management, data analytics and augmentation, business intelligence, route optimization, cash management, task management shift management, asset tracking, real-time alerts, cloud communications, and communications infrastructure services and products through consulting, design, construction, and maintenance.

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