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Glad Cube (TSE:9561) Receivables Turnover : 0.75 (As of Mar. 2024)


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What is Glad Cube Receivables Turnover?

The Receivables Turnover ratio measures the number of times a company collects its average accounts receivable balance. It is calculated as Revenue divided by average Accounts Receivable. An efficient company has a higher accounts receivable turnover ratio while an inefficient company has a lower ratio. Glad Cube's Revenue for the three months ended in Mar. 2024 was 円432 Mil. Glad Cube's average Accounts Receivable for the three months ended in Mar. 2024 was 円576 Mil. Hence, Glad Cube's Receivables Turnover for the three months ended in Mar. 2024 was 0.75.


Glad Cube Receivables Turnover Historical Data

The historical data trend for Glad Cube's Receivables 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.

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Glad Cube Receivables Turnover Chart

Glad Cube Annual Data
Trend Dec20 Dec21 Dec22 Dec23
Receivables Turnover
3.70 3.29 3.24 3.00

Glad Cube Quarterly Data
Dec20 Dec21 Jun22 Sep22 Dec22 Mar23 Jun23 Sep23 Dec23 Mar24
Receivables Turnover Get a 7-Day Free Trial Premium Member Only Premium Member Only 0.86 0.75 0.90 0.99 0.75

Competitive Comparison of Glad Cube's Receivables Turnover

For the Software - Application subindustry, Glad Cube's Receivables Turnover, along with its competitors' market caps and Receivables Turnover 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 Receivables Turnover Distribution in the Software Industry

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

* The bar in red indicates where Glad Cube's Receivables Turnover falls into.



Glad Cube Receivables Turnover Calculation

Receivables Turnover measures the number of times a company collects its average accounts receivable balance.

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

Receivables Turnover (A: Dec. 2023 )
=Revenue / Average Total Inventories
=Revenue (A: Dec. 2023 ) / ((Accounts Receivable (A: Dec. 2022 ) + Accounts Receivable (A: Dec. 2023 )) / count )
=1523.12 / ((414.423 + 602.257) / 2 )
=1523.12 / 508.34
=3.00

Glad Cube's Receivables Turnover for the quarter that ended in Mar. 2024 is calculated as

Receivables Turnover (Q: Mar. 2024 )
=Revenue / Average Total Inventories
=Revenue (Q: Mar. 2024 ) / ((Accounts Receivable (Q: Dec. 2023 ) + Accounts Receivable (Q: Mar. 2024 )) / count )
=431.527 / ((602.257 + 549.541) / 2 )
=431.527 / 575.899
=0.75

* 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) Receivables Turnover Explanation

An efficient company has a higher accounts receivable turnover ratio while an inefficient company has a lower ratio. This metric is commonly used to compare companies within the same industry to check whether they are on par with their competitors.


Glad Cube Receivables Turnover Related Terms

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Glad Cube (TSE:9561) 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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