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DecisionPoint Systems (DecisionPoint Systems) Inventory Turnover : 11.79 (As of Mar. 2024)


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What is DecisionPoint Systems 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. DecisionPoint Systems's Cost of Goods Sold for the three months ended in Mar. 2024 was $19.61 Mil. DecisionPoint Systems's Average Total Inventories for the quarter that ended in Mar. 2024 was $1.66 Mil. DecisionPoint Systems's Inventory Turnover for the quarter that ended in Mar. 2024 was 11.79.

Days Inventory indicates the number of days of goods in sales that a company has in the inventory. DecisionPoint Systems's Days Inventory for the three months ended in Mar. 2024 was 7.74.

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. DecisionPoint Systems's Inventory-to-Revenue for the quarter that ended in Mar. 2024 was 0.06.


DecisionPoint Systems Inventory Turnover Historical Data

The historical data trend for DecisionPoint Systems'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.

DecisionPoint Systems Inventory Turnover Chart

DecisionPoint Systems Annual Data
Trend Dec11 Dec12 Dec13 Dec14 Dec17 Dec19 Dec20 Dec21 Dec22 Dec23
Inventory Turnover
Get a 7-Day Free Trial Premium Member Only Premium Member Only 15.68 20.62 33.82 22.77 26.49

DecisionPoint Systems Quarterly Data
Sep15 Dec17 Dec19 Mar20 Jun20 Sep20 Dec20 Mar21 Jun21 Sep21 Dec21 Mar22 Jun22 Sep22 Dec22 Mar23 Jun23 Sep23 Dec23 Mar24
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 4.06 5.54 7.22 8.94 11.79

DecisionPoint Systems Inventory Turnover Calculation

DecisionPoint Systems's Inventory Turnover for the fiscal year that ended in Dec. 2023 is calculated as

Inventory Turnover (A: Dec. 2023 )
=Cost of Goods Sold / Average Total Inventories
=Cost of Goods Sold (A: Dec. 2023 ) / ((Total Inventories (A: Dec. 2022 ) + Total Inventories (A: Dec. 2023 )) / count )
=86.769 / ((4.417 + 2.133) / 2 )
=86.769 / 3.275
=26.49

DecisionPoint Systems's Inventory Turnover for the quarter that ended in Mar. 2024 is calculated as

Inventory Turnover (Q: Mar. 2024 )
=Cost of Goods Sold / Average Total Inventories
=Cost of Goods Sold (Q: Mar. 2024 ) / ((Total Inventories (Q: Dec. 2023 ) + Total Inventories (Q: Mar. 2024 )) / count )
=19.607 / ((2.133 + 1.193) / 2 )
=19.607 / 1.663
=11.79

* 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.


DecisionPoint Systems  (OTCPK:DPSIP.PFD) 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.

DecisionPoint Systems's Days Inventory for the three months ended in Mar. 2024 is calculated as:

Days Inventory =Average Total Inventories (Q: Mar. 2024 )/Cost of Goods Sold (Q: Mar. 2024 )*Days in Period
=1.663/19.607*365 / 4
=7.74

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.

DecisionPoint Systems's Inventory to Revenue for the quarter that ended in Mar. 2024 is calculated as

Inventory-to-Revenue=Average Total Inventories (Q: Mar. 2024 ) / Revenue (Q: Mar. 2024 )
=1.663 / 25.618
=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.


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.


DecisionPoint Systems Inventory Turnover Related Terms

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DecisionPoint Systems (DecisionPoint Systems) Business Description

Traded in Other Exchanges
Address
1615 South Congress Avenue, Suite 103, Delray Beach, FL, USA, 33445
DecisionPoint Systems Inc is an enterprise mobility systems integrator. It sells and installs mobile computing and wireless systems used both within a company's facilities with wireless networks and in the field using carrier-based wireless networks. The system includes mobile computers, mobile application software, and related data capture equipment including barcode scanners and radio frequency identification readers. It also offers professional services, proprietary and third-party software, and software customization as an integral part of its customized solutions for its customers. Its software's utilized in industries including retail, transportation logistics, management consulting, warehousing, and field service management.