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Glad Cube (TSE:9561) Days Inventory : 2.09 (As of Jun. 2024)


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What is Glad Cube Days Inventory?

Days Inventory is also known as Days Sales of Inventory (DSI). Glad Cube's Average Total Inventories for the three months ended in Jun. 2024 was 円1 Mil. Glad Cube's Cost of Goods Sold for the three months ended in Jun. 2024 was 円46 Mil. Hence, Glad Cube's Days Inventory for the three months ended in Jun. 2024 was 2.09.

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

TSE:9561' s Days Inventory Range Over the Past 10 Years
Min: 0.24   Med: 0.69   Max: 1.08
Current: 0.79

During the past 4 years, Glad Cube's highest Days Inventory was 1.08. The lowest was 0.24. And the median was 0.69.

TSE:9561's Days Inventory is ranked better than
88.92% of 1570 companies
in the Software industry
Industry Median: 19.615 vs TSE:9561: 0.79

Glad Cube's Days Inventory increased from Jun. 2023 (0.23) to Jun. 2024 (2.09). It might indicate that Glad Cube's sales slowed down.

Inventory Turnover measures how fast the company turns over its inventory within a year. Glad Cube's Inventory Turnover for the three months ended in Jun. 2024 was 43.56.

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. Glad Cube's Inventory-to-Revenue for the three months ended in Jun. 2024 was 0.00.


Glad Cube Days Inventory Historical Data

The historical data trend for Glad Cube'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.

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Glad Cube Days Inventory Chart

Glad Cube Annual Data
Trend Dec20 Dec21 Dec22 Dec23
Days Inventory
1.08 0.84 0.53 0.24

Glad Cube Quarterly Data
Dec20 Dec21 Jun22 Sep22 Dec22 Mar23 Jun23 Sep23 Dec23 Mar24 Jun24
Days Inventory Get a 7-Day Free Trial Premium Member Only Premium Member Only Premium Member Only 0.23 0.23 0.14 0.16 2.09

Competitive Comparison of Glad Cube's Days Inventory

For the Software - Application subindustry, Glad Cube'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.


Glad Cube's Days Inventory Distribution in the Software Industry

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

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



Glad Cube Days Inventory Calculation

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

Glad Cube's Days Inventory for the fiscal year that ended in Dec. 2023 is calculated as

Days Inventory (A: Dec. 2023 )
=Average Total Inventories / Cost of Goods Sold*Days in Period
=( (Total Inventories (A: Dec. 2022 ) + Total Inventories (A: Dec. 2023 )) / count ) / Cost of Goods Sold (A: Dec. 2023 )*Days in Period
=( (0.139 + 0.149) / 2 ) / 215.438*365
=0.144 / 215.438*365
=0.24

Glad Cube's Days Inventory for the quarter that ended in Jun. 2024 is calculated as:

Days Inventory (Q: Jun. 2024 )
=Average Total Inventories / Cost of Goods Sold*Days in Period
=( (Total Inventories (Q: Mar. 2024 ) + Total Inventories (Q: Jun. 2024 )) / count ) / Cost of Goods Sold (Q: Jun. 2024 )*Days in Period
=( (0.149 + 1.957) / 2 ) / 45.873*365 / 4
=1.053 / 45.873*365 / 4
=2.09

* 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.


Glad Cube  (TSE:9561) 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.

Glad Cube's Inventory Turnover for the three months ended in Jun. 2024 is calculated as

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.

Glad Cube's Inventory to Revenue for the three months ended in Jun. 2024 is calculated as

* 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.


Glad Cube Days Inventory Related Terms

Thank you for viewing the detailed overview of Glad Cube's Days Inventory provided by GuruFocus.com. Please click on the following links to see related term pages.


Glad Cube Business Description

Traded in Other Exchanges
N/A
Address
2-4-7 Kawaramachi, Osaka Chuo-ku, Osaka, JPN, 541-0048
Glad Cube Inc operates as an internet advertise agency and website optimization platform that provides Heat maps and AB testing function by own product "iTest which includes artificial intelligence and machine learning.

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