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Automatic Data Processing (BSP:ADPR34) LT-Debt-to-Total-Asset : 0.06 (As of Dec. 2023)


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What is Automatic Data Processing 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. Automatic Data Processing's long-term debt to total assests ratio for the quarter that ended in Dec. 2023 was 0.06.

Automatic Data Processing's long-term debt to total assets ratio declined from Dec. 2022 (0.06) to Dec. 2023 (0.06). It may suggest that Automatic Data Processing is progressively becoming less dependent on debt to grow their business.


Automatic Data Processing LT-Debt-to-Total-Asset Historical Data

The historical data trend for Automatic Data Processing'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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Automatic Data Processing LT-Debt-to-Total-Asset Chart

Automatic Data Processing Annual Data
Trend Jun14 Jun15 Jun16 Jun17 Jun18 Jun19 Jun20 Jun21 Jun22 Jun23
LT-Debt-to-Total-Asset
Get a 7-Day Free Trial Premium Member Only Premium Member Only 0.05 0.03 0.07 0.05 0.07

Automatic Data Processing 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 0.06 0.06 0.07 0.07 0.06

Automatic Data Processing LT-Debt-to-Total-Asset Calculation

Automatic Data Processing's Long-Term Debt to Total Asset Ratio for the fiscal year that ended in Jun. 2023 is calculated as

LT Debt to Total Assets (A: Jun. 2023 )=Long-Term Debt & Capital Lease Obligation (A: Jun. 2023 )/Total Assets (A: Jun. 2023 )
=16206.019/247397.943
=0.07

Automatic Data Processing'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 )
=16252.637/279628.646
=0.06

* 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.


Automatic Data Processing  (BSP:ADPR34) 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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Automatic Data Processing (BSP:ADPR34) Business Description

Address
One ADP Boulevard, Roseland, NJ, USA, 07068
ADP is a provider of payroll and human capital management solutions servicing the full scope of businesses from micro to global enterprises. ADP was established in 1949 and serves over 1 million clients primarily in the United States. ADP's employer services segment offers payroll, human capital management solutions, human resources outsourcing, insurance and retirement services. The smaller but faster-growing professional employer organization segment provides HR outsourcing solutions to small and midsize businesses through a co-employment model.

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