DeepSpatial (XCNQ:DSAI) Days Inventory: (As of Sep. 2024)

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What is DeepSpatial Days Inventory?

Days Inventory is also known as Days Sales of Inventory (DSI). DeepSpatial's Average Total Inventories for the three months ended in Sep. 2024 was C$0.00 Mil. DeepSpatial's Cost of Goods Sold for the three months ended in Sep. 2024 was C$0.31 Mil. Hence, DeepSpatial's Days Inventory for the three months ended in Sep. 2024 was 0.00.

The historical rank and industry rank for DeepSpatial's Days Inventory or its related term are showing as below:

XCNQ:DSAI's Days Inventory is not ranked *
in the Software industry.
Industry Median: 19.645
* Ranked among companies with meaningful Days Inventory only.

DeepSpatial's Days Inventory stayed the same from Jun. 2023 () to Sep. 2024 ().

Inventory Turnover measures how fast the company turns over its inventory within a year.

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. DeepSpatial's Inventory-to-Revenue for the three months ended in Sep. 2024 was 0.00.

DeepSpatial  (XCNQ:DSAI) Days Inventory Explanation

Days Inventory indicates the liquidity of the inventory. Generally, a lower Days Inventory is preferred as it indicates a shorter duration to clear off the inventory. An increase of the ratio may indicate the company's sales slowed. Similar ratios related to Days Inventory are:

1. Inventory Turnover measures how fast the company turns over its inventory within a year.

DeepSpatial's Inventory Turnover for the three months ended in Sep. 2024 is calculated as

Inventory Turnover=Cost of Goods Sold / Average Total Inventories
=0.308695 / 0
=

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.

DeepSpatial's Inventory to Revenue for the three months ended in Sep. 2024 is calculated as

Inventory-to-Revenue=Average Total Inventories / Revenue
=0 / 0.440015
=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

A lot of business are seasonable. It makes more sense to compare Days Inventory from the same period in the previous year instead of from the previous quarter.

DeepSpatial Days Inventory Related Terms

DeepSpatial Days Inventory Historical Data

* Premium members only.

The historical data trend for DeepSpatial's Days Inventory 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.

DeepSpatial Days Inventory Chart

DeepSpatial Annual Data
Trend Dec17 Dec18 Dec19 Jun21 Jun22 Jun23 Jun24
Days Inventory
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DeepSpatial Quarterly Data
Sep19 Dec19 Mar20 Jun20 Sep20 Dec20 Mar21 Jun21 Sep21 Dec21 Mar22 Jun22 Sep22 Dec22 Mar23 Jun23 Sep23 Dec23 Mar24 Sep24
Days Inventory 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 - - - - -

XCNQ:DSAI vs CISO, JNVR, BRQSF: Days Inventory Comparison

For the Software - Infrastructure subindustry, DeepSpatial's Days Inventory, along with its competitors' market caps and Days Inventory data, can be viewed below:

* Competitive companies are chosen from companies within the same industry, with headquarter located in same country, with closest market capitalization; x-axis shows the market cap, and y-axis shows the term value; the bigger the dot, the larger the market cap. Note that "N/A" values will not show up in the chart.

DeepSpatial Days Inventory vs Software Industry

For the Software industry and Technology sector, DeepSpatial's Days Inventory distribution charts can be found below:

* The bar in red indicates where DeepSpatial's Days Inventory falls into.


DeepSpatial Days Inventory Calculation

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

DeepSpatial's Days Inventory for the fiscal year that ended in Jun. 2024 is calculated as

Days Inventory (A: Jun. 2024 )
=Average Total Inventories / Cost of Goods Sold*Days in Period
=( (Total Inventories (A: Jun. 2023 ) + Total Inventories (A: Jun. 2024 )) / count ) / Cost of Goods Sold (A: Jun. 2024 )*Days in Period
=( (0 + 0) / 1 ) / 1.041294*365
=0 / 1.041294*365
=0.00

DeepSpatial's Days Inventory for the quarter that ended in Sep. 2024 is calculated as:

Days Inventory (Q: Sep. 2024 )
=Average Total Inventories / Cost of Goods Sold*Days in Period
=( (Total Inventories (Q: Mar. 2024 ) + Total Inventories (Q: Sep. 2024 )) / count ) / Cost of Goods Sold (Q: Sep. 2024 )*Days in Period
=( (0 + 0) / 1 ) / 0.308695*365 / 4
=0 / 0.308695*365 / 4
=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.

DeepSpatial Business Description

Address 40 King Street West, Scotia Plaza, Suite 2400, Toronto, ON, CAN, M5H 3Y2
DeepSpatial Inc is a GeoAI company delivering data-driven solutions that empower organizations to make smarter, more sustainable decisions. The firm combines geospatial analytics and artificial intelligence, which helps clients visualize trends, forecast outcomes, and optimize operations to drive positive social and economic impact. The firm serves industries such as Education, Agriculture and Emerging industries like Retail, Health, Disaster Management, Law Enforcement, and Logistics.