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True Data (TSE:4416) Change In Receivables : 円0 Mil (TTM As of Dec. 2023)


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What is True Data Change In Receivables?

True Data's change in receivables for the quarter that ended in Dec. 2023 was 円0 Mil. It means True Data's Accounts Receivable stayed the same from Sep. 2023 to Dec. 2023 .

True Data's change in receivables for the fiscal year that ended in Mar. 2023 was 円-5 Mil. It means True Data's Accounts Receivable increased by 円5 Mil from Mar. 2022 to Mar. 2023 .

True Data's Accounts Receivable for the quarter that ended in Dec. 2023 was 円161 Mil.

Days Sales Outstanding measures of the average number of days that a company takes to collect revenue after a sale has been made. It is a financial ratio that illustrates how well a company's Accounts Receivable are being managed. True Data's Days Sales Outstanding for the three months ended in Dec. 2023 was 36.03.

In Ben Graham's calculation of liquidation value, Apple Inc's Accounts Receivable are only considered to be worth 75% of book value. True Data's liquidation value for the three months ended in Dec. 2023 was 円728 Mil.


True Data Change In Receivables Historical Data

The historical data trend for True Data's Change In Receivables 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 Change In Receivables Chart

True Data Annual Data
Trend Mar20 Mar21 Mar22 Mar23
Change In Receivables
44.94 15.34 -40.69 -5.17

True Data Quarterly Data
Mar20 Mar21 Sep21 Dec21 Mar22 Jun22 Sep22 Dec22 Mar23 Jun23 Sep23 Dec23
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True Data Change In Receivables Calculation

Change In Accounts Receivable relative to the previous period. It is any increase or decrease in the cash a company is owed by its customers.

Change In Receivables for the trailing twelve months (TTM) ended in Dec. 2023 adds up the quarterly data reported by the company within the most recent 12 months, which was 円0 Mil.

* 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) Change In Receivables Explanation

1. Accounts Receivable are created when a customer has received a product but has not yet paid for that product. Days Sales Outstanding measures of the average number of days that a company takes to collect revenue after a sale has been made. It is a financial ratio that illustrates how well a company's Accounts Receivable are being managed.

True Data's Days Sales Outstanding for the quarter that ended in Dec. 2023 is calculated as:

Days Sales Outstanding
=Accounts Receivable/Revenue*Days in Period
=160.652/406.827*91
=36.03

2. In Ben Graham's calculation of liquidation value, True Data's accounts receivable are only considered to be worth 75% of book value:

True Data's liquidation value for the quarter that ended in Dec. 2023 is calculated as:

Liquidation Value
=Cash, Cash Equivalents, Marketable Securities-Total Liabilities+(0.75 * Accounts Receivable)+(0.5 * Total Inventories)
=900.495-293.481+0.75 * 160.652+0.5 * 0
=728

* 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 (TSE:4416) 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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