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CyberArk Software (MEX:CYBR) LT-Debt-to-Total-Asset : 0.00 (As of Dec. 2024)


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What is CyberArk Software 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. CyberArk Software's long-term debt to total assests ratio for the quarter that ended in Dec. 2024 was 0.00.

CyberArk Software's long-term debt to total assets ratio stayed the same from Dec. 2023 (0.00) to Dec. 2024 (0.00).


CyberArk Software LT-Debt-to-Total-Asset Historical Data

The historical data trend for CyberArk Software'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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CyberArk Software LT-Debt-to-Total-Asset Chart

CyberArk Software Annual Data
Trend Dec15 Dec16 Dec17 Dec18 Dec19 Dec20 Dec21 Dec22 Dec23 Dec24
LT-Debt-to-Total-Asset
Get a 7-Day Free Trial Premium Member Only Premium Member Only 0.32 0.31 0.31 - -

CyberArk Software Quarterly Data
Mar20 Jun20 Sep20 Dec20 Mar21 Jun21 Sep21 Dec21 Mar22 Jun22 Sep22 Dec22 Mar23 Jun23 Sep23 Dec23 Mar24 Jun24 Sep24 Dec24
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 - - - - -

CyberArk Software LT-Debt-to-Total-Asset Calculation

CyberArk Software's Long-Term Debt to Total Asset Ratio for the fiscal year that ended in Dec. 2024 is calculated as

LT Debt to Total Assets (A: Dec. 2024 )=Long-Term Debt & Capital Lease Obligation (A: Dec. 2024 )/Total Assets (A: Dec. 2024 )
=0/69833.122
=0.00

CyberArk Software's Long-Term Debt to Total Asset Ratio for the quarter that ended in Dec. 2024 is calculated as

LT Debt to Total Assets (Q: Dec. 2024 )=Long-Term Debt & Capital Lease Obligation (Q: Dec. 2024 )/Total Assets (Q: Dec. 2024 )
=0/69833.122
=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.


CyberArk Software  (MEX:CYBR) 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.


CyberArk Software LT-Debt-to-Total-Asset Related Terms

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CyberArk Software Business Description

Traded in Other Exchanges
Address
9 Hapsagot Street, Park Ofer B, P.O. Box 3143, Petach Tikva, ISR, 4951040
CyberArk is a cybersecurity vendor focused on the identity market. The company's core privileged access management offering is a market leader in that subsegment, with more than half of the Fortune 500 as CyberArk customers. The identity security vendor was founded in 1999 and has around 9,000 customers across various industries. While CyberArk historically sold its security solutions primarily via on-premises licenses, over the past few years it has transitioned to a subscription recurring-revenue model.