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True Data (TSE:4416) Accounts Receivable : 円161 Mil (As of Dec. 2023)


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What is True Data Accounts Receivable?

Accounts Receivable are created when a customer has received a product but has not yet paid for that product. True Data's accounts receivables for the quarter that ended in Dec. 2023 was 円161 Mil.

Accounts receivable can be measured by Days Sales Outstanding. True Data's Days Sales Outstanding for the quarter that ended in Dec. 2023 was 36.03.

In Ben Graham's calculation of Net-Net Working Capital, accounts receivable are only considered to be worth 75% of book value. True Data's Net-Net Working Capital per share for the quarter that ended in Dec. 2023 was 円153.50.


True Data Accounts Receivable Historical Data

The historical data trend for True Data's Accounts Receivable 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.

* Premium members only.

True Data Accounts Receivable Chart

True Data Annual Data
Trend Mar20 Mar21 Mar22 Mar23
Accounts Receivable
115.44 111.40 152.09 157.26

True Data Quarterly Data
Mar20 Mar21 Sep21 Dec21 Mar22 Jun22 Sep22 Dec22 Mar23 Jun23 Sep23 Dec23
Accounts Receivable Get a 7-Day Free Trial Premium Member Only Premium Member Only Premium Member Only Premium Member Only 120.50 157.26 109.00 154.64 160.65

True Data Accounts Receivable Calculation

Accounts Receivable is money owed to a business by customers and shown on its Balance Sheet as an asset.


True Data Accounts Receivable 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 receivables 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 Net-Net Working Capital (NNWC), True Data's accounts receivable are only considered to be worth 75% of book value:

True Data's Net-Net Working Capital Per Share for the quarter that ended in Dec. 2023 is calculated as:

Net-Net Working Capital Per Share
=(Cash And Cash Equivalents+0.75 * Accounts Receivable+0.5 * Total Inventories-Total Liabilities
-Preferred Stock-Minority Interest)/Shares Outstanding (EOP)
=(900.495+0.75 * 160.652+0.5 * 0-293.481
-0-0)/4.7394
=153.50

* 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

Net receivables tells us a great deal about the different competitors in the same industry. In competitive industries, some attempt to gain advantage by offering better credit terms, causing increase in sales and receivables.

If company consistently shows lower % Net receivables to gross sales than competitors, then it usually has some kind of competitive advantage which requires further digging.

Average Days Sales Outstanding is a good indicator for measuring a company's sales channel and customers. A company may book great revenue and earnings growth but never receive payment from their customers. This may force a write-off in the future and depress future earnings.


True Data Accounts Receivable Related Terms

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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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