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Datable Technology (Datable Technology) LT-Debt-to-Total-Asset : 4.60 (As of Sep. 2023)


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What is Datable Technology 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. Datable Technology's long-term debt to total assests ratio for the quarter that ended in Sep. 2023 was 4.60.

Datable Technology's long-term debt to total assets ratio increased from Sep. 2022 (3.54) to Sep. 2023 (4.60). It may suggest that Datable Technology is progressively becoming more dependent on debt to grow their business.


Datable Technology LT-Debt-to-Total-Asset Historical Data

The historical data trend for Datable Technology'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.

Datable Technology LT-Debt-to-Total-Asset Chart

Datable Technology Annual Data
Trend May13 May14 Dec15 Dec16 Dec17 Dec18 Dec19 Dec20 Dec21 Dec22
LT-Debt-to-Total-Asset
Get a 7-Day Free Trial Premium Member Only Premium Member Only - 0.07 0.01 1.19 3.43

Datable Technology Quarterly Data
Dec18 Mar19 Jun19 Sep19 Dec19 Mar20 Jun20 Sep20 Dec20 Mar21 Jun21 Sep21 Dec21 Mar22 Jun22 Sep22 Dec22 Mar23 Jun23 Sep23
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 3.54 3.43 3.71 5.75 4.60

Datable Technology LT-Debt-to-Total-Asset Calculation

Datable Technology's Long-Term Debt to Total Asset Ratio for the fiscal year that ended in Dec. 2022 is calculated as

LT Debt to Total Assets (A: Dec. 2022 )=Long-Term Debt & Capital Lease Obligation (A: Dec. 2022 )/Total Assets (A: Dec. 2022 )
=2.252/0.657
=3.43

Datable Technology's Long-Term Debt to Total Asset Ratio for the quarter that ended in Sep. 2023 is calculated as

LT Debt to Total Assets (Q: Sep. 2023 )=Long-Term Debt & Capital Lease Obligation (Q: Sep. 2023 )/Total Assets (Q: Sep. 2023 )
=2.312/0.503
=4.60

* 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.


Datable Technology  (OTCPK:TTMZF) 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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Datable Technology (Datable Technology) Business Description

Traded in Other Exchanges
Address
1062 Homer Street, Suite 301, Vancouver, BC, CAN, V6B 2W9
Datable Technology Corp is a Canada-based technology company. It is operating in the consumer Internet advertising sector. It is a provider of digital and social media consumer engagement, data mining, and loyalty solutions. The company's core product is Platform3, a Software-as-a-Service consumer marketing platform, which enables consumer packaged goods companies and consumer brands to engage consumers and influence purchasing decisions through their mobile devices and online. Its geographical segments are Canada and the United States, of which the majority of its revenue comes from the United States.

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