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KPIT Technologies (BOM:542651) LT-Debt-to-Total-Asset : 0.05 (As of Mar. 2024)


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What is KPIT 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. KPIT Technologies's long-term debt to total assests ratio for the quarter that ended in Mar. 2024 was 0.05.

KPIT Technologies's long-term debt to total assets ratio declined from Mar. 2023 (0.06) to Mar. 2024 (0.05). It may suggest that KPIT Technologies is progressively becoming less dependent on debt to grow their business.


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

The historical data trend for KPIT 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.

* Premium members only.

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

KPIT Technologies Annual Data
Trend Mar18 Mar19 Mar20 Mar21 Mar22 Mar23 Mar24
LT-Debt-to-Total-Asset
Get a 7-Day Free Trial 0.07 0.10 0.08 0.06 0.05

KPIT Technologies 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 0.06 - 0.06 - 0.05

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

KPIT Technologies's Long-Term Debt to Total Asset Ratio for the fiscal year that ended in Mar. 2024 is calculated as

LT Debt to Total Assets (A: Mar. 2024 )=Long-Term Debt & Capital Lease Obligation (A: Mar. 2024 )/Total Assets (A: Mar. 2024 )
=2168.07/41678.96
=0.05

KPIT Technologies'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 )
=2168.07/41678.96
=0.05

* 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.


KPIT Technologies  (BOM:542651) 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.


KPIT Technologies LT-Debt-to-Total-Asset Related Terms

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KPIT Technologies (BOM:542651) Business Description

Traded in Other Exchanges
Address
Plot No. 17, Rajiv Gandhi lnfotech Park, MIDC-SEZ, Phase-Ill, Maan, Taluka- Mulshi, Hinjawadi, Pune, MH, IND, 411057
KPIT Technologies Ltd is a global technology company specializing in providing IT Consulting and Product Engineering solutions and services to Automotive, Manufacturing, Energy, and Utilities companies. The Company derives revenues primarily from providing engineering services which includes design engineering services, embedded software development with its related services and from the sale of licenses and products. Geographically, it derives a majority of revenue from the Americas.

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