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True Data (TSE:4416) Receivables Turnover : 2.51 (As of Mar. 2024)


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What is True Data 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. True Data's Revenue for the three months ended in Mar. 2024 was 円401 Mil. True Data's average Accounts Receivable for the three months ended in Mar. 2024 was 円160 Mil. Hence, True Data's Receivables Turnover for the three months ended in Mar. 2024 was 2.51.


True Data Receivables Turnover Historical Data

The historical data trend for True Data'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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True Data Receivables Turnover Chart

True Data Annual Data
Trend Mar20 Mar21 Mar22 Mar23 Mar24
Receivables Turnover
8.76 10.28 9.97 9.31 10.07

True Data Quarterly Data
Mar20 Mar21 Sep21 Dec21 Mar22 Jun22 Sep22 Dec22 Mar23 Jun23 Sep23 Dec23 Mar24
Receivables Turnover Get a 7-Day Free Trial Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only 2.75 2.81 3.12 2.58 2.51

Competitive Comparison of True Data's Receivables Turnover

For the Software - Application subindustry, True Data'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.


True Data's Receivables Turnover Distribution in the Software Industry

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

* The bar in red indicates where True Data's Receivables Turnover falls into.



True Data Receivables Turnover Calculation

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

True Data's Receivables Turnover for the fiscal year that ended in Mar. 2024 is calculated as

Receivables Turnover (A: Mar. 2024 )
=Revenue / Average Total Inventories
=Revenue (A: Mar. 2024 ) / ((Accounts Receivable (A: Mar. 2023 ) + Accounts Receivable (A: Mar. 2024 )) / count )
=1593.04 / ((157.261 + 159.227) / 2 )
=1593.04 / 158.244
=10.07

True Data'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 )
=400.681 / ((160.652 + 159.227) / 2 )
=400.681 / 159.9395
=2.51

* 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.


True Data  (TSE:4416) 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.


True Data Receivables Turnover Related Terms

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True Data Business Description

Traded in Other Exchanges
N/A
Address
1-10-11 Shibadaimon, Minato-ku, Tokyo, JPN, 105?0012
True Data Inc operates a big data platform that handles consumer purchasing data nationwide. It develops and provides consumer data analysis and purchasing behavior analysis solutions such as POS / ID-POS to retailers and consumer goods manufacturers.

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