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AP Memory Technology (TPE:6531) LT-Debt-to-Total-Asset : 0.00 (As of Mar. 2024)


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What is AP Memory 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. AP Memory Technology's long-term debt to total assests ratio for the quarter that ended in Mar. 2024 was 0.00.

AP Memory Technology's long-term debt to total assets ratio increased from Mar. 2023 (0.00) to Mar. 2024 (0.00). It may suggest that AP Memory Technology is progressively becoming more dependent on debt to grow their business.


AP Memory Technology LT-Debt-to-Total-Asset Historical Data

The historical data trend for AP Memory 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.

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AP Memory Technology LT-Debt-to-Total-Asset Chart

AP Memory Technology Annual Data
Trend Dec14 Dec15 Dec16 Dec17 Dec18 Dec19 Dec20 Dec21 Dec22 Dec23
LT-Debt-to-Total-Asset
Get a 7-Day Free Trial Premium Member Only Premium Member Only - 0.01 0.01 - -

AP Memory Technology Quarterly Data
Jun19 Sep19 Dec19 Mar20 Jun20 Sep20 Dec20 Mar21 Jun21 Sep21 Dec21 Mar22 Jun22 Sep22 Dec22 Mar23 Jun23 Sep23 Dec23 Mar24
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 - - - - -

AP Memory Technology LT-Debt-to-Total-Asset Calculation

AP Memory Technology's Long-Term Debt to Total Asset Ratio for the fiscal year that ended in Dec. 2023 is calculated as

LT Debt to Total Assets (A: Dec. 2023 )=Long-Term Debt & Capital Lease Obligation (A: Dec. 2023 )/Total Assets (A: Dec. 2023 )
=9.94/12513.591
=0.00

AP Memory Technology's Long-Term Debt to Total Asset Ratio for the quarter that ended in Mar. 2024 is calculated as

LT Debt to Total Assets (Q: Mar. 2024 )=Long-Term Debt & Capital Lease Obligation (Q: Mar. 2024 )/Total Assets (Q: Mar. 2024 )
=8.885/12808.071
=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.


AP Memory Technology  (TPE:6531) 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.


AP Memory Technology LT-Debt-to-Total-Asset Related Terms

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AP Memory Technology (TPE:6531) Business Description

Traded in Other Exchanges
N/A
Address
No. 1, Taiyuan 1st Street, 10th Floor-1, Hsinchu County, Zhubei, TWN, 30288
AP Memory Technology Corp is a memory IC design company. The company is engaged in manufacturing and developing mobile DRAM based specialty memory products for mobile, wearable, and Internet of Things devices. Its products include PSRAM and IOT RAM, Low power DRAM, and applications include Internet of things, connectives and mobile.

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