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Artificial Intelligence Technology Solutions (Artificial Intelligence Technology Solutions) Inventory Turnover : 0.07 (As of Nov. 2023)


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What is Artificial Intelligence Technology Solutions 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. Artificial Intelligence Technology Solutions's Cost of Goods Sold for the three months ended in Nov. 2023 was $0.14 Mil. Artificial Intelligence Technology Solutions's Average Total Inventories for the quarter that ended in Nov. 2023 was $1.96 Mil. Artificial Intelligence Technology Solutions's Inventory Turnover for the quarter that ended in Nov. 2023 was 0.07.

Days Inventory indicates the number of days of goods in sales that a company has in the inventory. Artificial Intelligence Technology Solutions's Days Inventory for the three months ended in Nov. 2023 was 1,311.72.

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. Artificial Intelligence Technology Solutions's Inventory-to-Revenue for the quarter that ended in Nov. 2023 was 3.27.


Artificial Intelligence Technology Solutions Inventory Turnover Historical Data

The historical data trend for Artificial Intelligence Technology Solutions'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.

Artificial Intelligence Technology Solutions Inventory Turnover Chart

Artificial Intelligence Technology Solutions Annual Data
Trend Feb14 Feb15 Feb16 Feb17 Feb18 Feb19 Feb20 Feb21 Feb22 Feb23
Inventory Turnover
Get a 7-Day Free Trial Premium Member Only Premium Member Only 0.02 0.56 2.20 0.59 0.43

Artificial Intelligence Technology Solutions Quarterly Data
Feb19 May19 Aug19 Nov19 Feb20 May20 Aug20 Nov20 Feb21 May21 Aug21 Nov21 Feb22 May22 Aug22 Nov22 Feb23 May23 Aug23 Nov23
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 0.08 0.14 0.06 0.06 0.07

Artificial Intelligence Technology Solutions Inventory Turnover Calculation

Artificial Intelligence Technology Solutions's Inventory Turnover for the fiscal year that ended in Feb. 2023 is calculated as

Inventory Turnover (A: Feb. 2023 )
=Cost of Goods Sold / Average Total Inventories
=Cost of Goods Sold (A: Feb. 2023 ) / ((Total Inventories (A: Feb. 2022 ) + Total Inventories (A: Feb. 2023 )) / count )
=0.678 / ((1.531 + 1.638) / 2 )
=0.678 / 1.5845
=0.43

Artificial Intelligence Technology Solutions's Inventory Turnover for the quarter that ended in Nov. 2023 is calculated as

Inventory Turnover (Q: Nov. 2023 )
=Cost of Goods Sold / Average Total Inventories
=Cost of Goods Sold (Q: Nov. 2023 ) / ((Total Inventories (Q: Aug. 2023 ) + Total Inventories (Q: Nov. 2023 )) / count )
=0.136 / ((1.69 + 2.22) / 2 )
=0.136 / 1.955
=0.07

* 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.


Artificial Intelligence Technology Solutions  (OTCPK:AITX) 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.

Artificial Intelligence Technology Solutions's Days Inventory for the three months ended in Nov. 2023 is calculated as:

Days Inventory =Average Total Inventories (Q: Nov. 2023 )/Cost of Goods Sold (Q: Nov. 2023 )*Days in Period
=1.955/0.136*365 / 4
=1,311.72

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.

Artificial Intelligence Technology Solutions's Inventory to Revenue for the quarter that ended in Nov. 2023 is calculated as

Inventory-to-Revenue=Average Total Inventories (Q: Nov. 2023 ) / Revenue (Q: Nov. 2023 )
=1.955 / 0.597
=3.27

* 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.


Artificial Intelligence Technology Solutions Inventory Turnover Related Terms

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Artificial Intelligence Technology Solutions (Artificial Intelligence Technology Solutions) Business Description

Traded in Other Exchanges
N/A
Address
10800 Galaxie Avenue, Ferndale, MI, USA, 48220
Website
Artificial Intelligence Technology Solutions Inc through its wholly-owned subsidiary delivers robotics and artificial intelligence-based solutions for operational, security, and monitoring needs. It also creates its own software leading to the development of powerful tools such as RADSOC, RADPMC, and RADGuard.