GURUFOCUS.COM » STOCK LIST » Industrials » Business Services » Automatic Data Processing Inc (NAS:ADP) » Definitions » Inventory Turnover

Automatic Data Processing (Automatic Data Processing) Inventory Turnover : 0.00 (As of Dec. 2023)


View and export this data going back to 1968. Start your Free Trial

What is Automatic Data Processing Inventory Turnover?

Inventory Turnover measures how fast the company turns over its inventory within a year. It is calculated as Cost of Goods Sold divided by Total Inventories. Automatic Data Processing's Cost of Goods Sold for the three months ended in Dec. 2023 was $2,562 Mil. Automatic Data Processing's Average Total Inventories for the quarter that ended in Dec. 2023 was $0 Mil.

Days Inventory indicates the number of days of goods in sales that a company has in the inventory. Automatic Data Processing's Days Inventory for the three months ended in Dec. 2023 was 0.00.

Inventory-to-Revenue determines the ability of a company to manage their inventory levels. It measures the percentage of Inventories the company currently has on hand to support the current amount of Revenue. Automatic Data Processing's Inventory-to-Revenue for the quarter that ended in Dec. 2023 was 0.00.


Automatic Data Processing Inventory Turnover Historical Data

The historical data trend for Automatic Data Processing's Inventory Turnover 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.

Automatic Data Processing Inventory Turnover Chart

Automatic Data Processing Annual Data
Trend Jun14 Jun15 Jun16 Jun17 Jun18 Jun19 Jun20 Jun21 Jun22 Jun23
Inventory Turnover
Get a 7-Day Free Trial Premium Member Only Premium Member Only - - - - -

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
Inventory Turnover 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 - - - - -

Automatic Data Processing Inventory Turnover Calculation

Automatic Data Processing's Inventory Turnover for the fiscal year that ended in Jun. 2023 is calculated as

Inventory Turnover (A: Jun. 2023 )
=Cost of Goods Sold / Average Total Inventories
=Cost of Goods Sold (A: Jun. 2023 ) / ((Total Inventories (A: Jun. 2022 ) + Total Inventories (A: Jun. 2023 )) / count )
=9953.4 / ((0 + 0) / 1 )
=9953.4 / 0
=N/A

Automatic Data Processing's Inventory Turnover for the quarter that ended in Dec. 2023 is calculated as

Inventory Turnover (Q: Dec. 2023 )
=Cost of Goods Sold / Average Total Inventories
=Cost of Goods Sold (Q: Dec. 2023 ) / ((Total Inventories (Q: Sep. 2023 ) + Total Inventories (Q: Dec. 2023 )) / count )
=2561.6 / ((0 + 0) / 1 )
=2561.6 / 0
=N/A

* 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  (NAS:ADP) Inventory Turnover Explanation

Inventory Turnover measures how fast the company turns over its inventory within a year. A higher Inventory Turnover means the company has light inventory. Therefore the company spends less money on storage, write downs, and obsolete inventory. If the inventory is too light, it may affect sales because the company may not have enough to meet demand.

1. Days Inventory indicates the number of days of goods in sales that a company has in the inventory.

Automatic Data Processing's Days Inventory for the three months ended in Dec. 2023 is calculated as:

Days Inventory =Average Total Inventories (Q: Dec. 2023 )/Cost of Goods Sold (Q: Dec. 2023 )*Days in Period
=0/2561.6*365 / 4
=0.00

2. Inventory-to-Revenue determines the ability of a company to manage their inventory levels. It measures the percentage of Inventories the company currently has on hand to support the current amount of Revenue.

Automatic Data Processing's Inventory to Revenue for the quarter that ended in Dec. 2023 is calculated as

Inventory-to-Revenue=Average Total Inventories (Q: Dec. 2023 ) / Revenue (Q: Dec. 2023 )
=0 / 4442.7
=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.


Be Aware

Usually retailers pile up their inventories at holiday seasons to meet the stronger demand. Therefore, the inventory of a particular quarter of a year should not be used to calculate Inventory Turnover. An average inventory is a better indication.


Automatic Data Processing Inventory Turnover Related Terms

Thank you for viewing the detailed overview of Automatic Data Processing's Inventory Turnover provided by GuruFocus.com. Please click on the following links to see related term pages.


Automatic Data Processing (Automatic Data Processing) 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.
Executives
John Ayala officer: Corp. VP ONE ADP BOULEVARD, ROSELAND NJ 07068
Maria Black officer: Corp. VP ONE ADP BOULEVARD, ROSELAND NJ 07068
Brock Albinson officer: Corp. VP ONE ADP BOULEVARD, ROSELAND NJ 07068
David Kwon officer: Corp VP ONE ADP BOULEVARD, ROSELAD NJ 07068
Don Mcguire officer: Corp VP ONE ADP BOULEVARD, ROSELAND NJ 07068
Carlos A Rodriguez officer: Corporate Vice President 10200 SUNSET DRIVE, MIAMI FL 33173
Michael A Bonarti officer: Staff Vice President ONE ADP BOULEVARD, ROSELAND NJ 07068
Christopher D'ambrosio officer: Corp. VP ONE ADP BOULEVARD, ROSELAND NJ 07068
Joseph Desilva officer: Corp VP ONE ADP BOULEVARD, ROSELAND NJ 07068
Paul Boland officer: Corp. VP ONE ADP BOULEVARD, ROSELAND NJ 07068
Donald Weinstein officer: Corporate VP ONE ADP BOULEVARD, ROSELAND NJ 07068
James T Sperduto officer: Corp VP ONE ADP BOULEVARD, ROSELAND NJ 07068
Laura G Brown officer: Corp. VP ONE ADP BOULEVARD, ROSELAND NJ 07068
Augusto J Blanchard officer: Corp VP ONE ADP BOULEVARD, ROSELAND NJ 07068
Alexander Quevedo officer: Corp VP ONE ADP BOULEVARD, ROSELAND NJ 07068