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Qualcomm (FRA:QCI) LT-Debt-to-Total-Asset : 0.28 (As of Dec. 2023)


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What is Qualcomm 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. Qualcomm's long-term debt to total assests ratio for the quarter that ended in Dec. 2023 was 0.28.

Qualcomm's long-term debt to total assets ratio declined from Dec. 2022 (0.31) to Dec. 2023 (0.28). It may suggest that Qualcomm is progressively becoming less dependent on debt to grow their business.


Qualcomm LT-Debt-to-Total-Asset Historical Data

The historical data trend for Qualcomm'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.

Qualcomm LT-Debt-to-Total-Asset Chart

Qualcomm Annual Data
Trend Sep14 Sep15 Sep16 Sep17 Sep18 Sep19 Sep20 Sep21 Sep22 Sep23
LT-Debt-to-Total-Asset
Get a 7-Day Free Trial Premium Member Only Premium Member Only 0.41 0.43 0.33 0.28 0.28

Qualcomm Quarterly Data
Mar19 Jun19 Sep19 Dec19 Mar20 Jun20 Sep20 Dec20 Mar21 Jun21 Sep21 Dec21 Mar22 Jun22 Sep22 Dec22 Mar23 Jun23 Sep23 Dec23
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 0.31 0.32 0.30 0.28 0.28

Qualcomm LT-Debt-to-Total-Asset Calculation

Qualcomm's Long-Term Debt to Total Asset Ratio for the fiscal year that ended in Sep. 2023 is calculated as

LT Debt to Total Assets (A: Sep. 2023 )=Long-Term Debt & Capital Lease Obligation (A: Sep. 2023 )/Total Assets (A: Sep. 2023 )
=13571.508/47824.48
=0.28

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

LT Debt to Total Assets (Q: Dec. 2023 )=Long-Term Debt & Capital Lease Obligation (Q: Dec. 2023 )/Total Assets (Q: Dec. 2023 )
=13357.022/47807.795
=0.28

* 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.


Qualcomm  (FRA:QCI) 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.


Qualcomm LT-Debt-to-Total-Asset Related Terms

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Qualcomm (FRA:QCI) Business Description

Address
5775 Morehouse Drive, San Diego, CA, USA, 92121-1714
Qualcomm develops and licenses wireless technology and designs chips for smartphones. The company's key patents revolve around CDMA and OFDMA technologies, which are standards in wireless communications that are the backbone of all 3G, 4G, and 5G networks. Qualcomm's IP is licensed by virtually all wireless device makers. The firm is also the world's largest wireless chip vendor, supplying nearly every premier handset maker with leading-edge processors. Qualcomm also sells RF-front end modules into smartphones, as well as chips into automotive and Internet of Things markets.

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