Darktrace (Darktrace) Accounts Receivable : $95.6 Mil (As of Dec. 2023)

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What is Darktrace Accounts Receivable?

Accounts Receivable are created when a customer has received a product but has not yet paid for that product. Darktrace's accounts receivables for the quarter that ended in Dec. 2023 was $95.6 Mil.

Accounts receivable can be measured by Days Sales Outstanding. Darktrace's Days Sales Outstanding for the quarter that ended in Dec. 2023 was 52.80.

In Ben Graham's calculation of Net-Net Working Capital, accounts receivable are only considered to be worth 75% of book value. Darktrace's Net-Net Working Capital per share for the quarter that ended in Dec. 2023 was $-0.03.

Darktrace Accounts Receivable Historical Data

The historical data trend for Darktrace'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.

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Darktrace Accounts Receivable Chart

Darktrace Annual Data

Trend

Jun18

Jun19

Jun20

Jun21

Jun22

Jun23

Accounts Receivable

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31.97

47.72

58.48

63.91

93.74

Darktrace Semi-Annual Data
	Jun18	Jun19	Dec19	Jun20	Dec20	Jun21	Dec21	Jun22	Dec22	Jun23	Dec23
Accounts Receivable	Get a 7-Day Free Trial						66.12	63.91	69.29	93.74	95.56

Darktrace Accounts Receivable Calculation

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

Darktrace 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.

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

	Days Sales Outstanding
=	Accounts Receivable	/	Revenue	*	Days in Period
=	95.557	/	330.303	*	91
=	52.80

2. In Ben Graham's calculation of Net-Net Working Capital (NNWC), Darktrace's accounts receivable are only considered to be worth 75% of book value:

Darktrace'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)
=	(383.15	+	0.75 * 95.557	+	0.5 * 0.093	-	473.807
-	0	-	0)	/	700.263
=	-0.03

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.

Darktrace Accounts Receivable Related Terms

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Darktrace (Darktrace) Business Description

Industry

GURUFOCUS.COM » STOCK LIST » Technology » Software » Darktrace PLC (OTCPK:DRKTF) » Definitions » Accounts Receivable

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Traded in Other Exchanges

DRKTY:USA DARKl:UK DARK:UK 7TJ:Germany

Address

Saint John’s Innovation Park, Cowley Road, Maurice Wilkes Building, Cambridge, GBR, CB4 0DS

Website

https://www.darktrace.com

Darktrace PLC is a provider of AI for the enterprise, with the first at-scale deployment of AI in cybersecurity. It is a pioneer of self-learning AI and is at the forefront of autonomous response technology. The Group's platform uses machine learning and AI algorithms to neutralize cyber threats across diverse digital estates, including the cloud and networks, IoT, and industrial control systems. Geographically, it derives a majority of revenue from the USA and Canada and also has a presence in the United Kingdom; Europe, and Rest of World.