BigBear.ai Holdings (FRA:28K1) Accounts Receivable : €33.7 Mil (As of Mar. 2024)

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What is BigBear.ai Holdings Accounts Receivable?

Accounts Receivable are created when a customer has received a product but has not yet paid for that product. BigBear.ai Holdings's accounts receivables for the quarter that ended in Mar. 2024 was €33.7 Mil.

Accounts receivable can be measured by Days Sales Outstanding. BigBear.ai Holdings's Days Sales Outstanding for the quarter that ended in Mar. 2024 was 100.79.

In Ben Graham's calculation of Net-Net Working Capital, accounts receivable are only considered to be worth 75% of book value. BigBear.ai Holdings's Net-Net Working Capital per share for the quarter that ended in Mar. 2024 was €-0.60.

BigBear.ai Holdings Accounts Receivable Historical Data

The historical data trend for BigBear.ai Holdings'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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BigBear.ai Holdings Accounts Receivable Chart

BigBear.ai Holdings Annual Data

Trend

Dec18

Dec19

Dec20

Dec21

Dec22

Dec23

Accounts Receivable

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12.18

17.61

25.32

28.41

20.13

BigBear.ai Holdings Quarterly Data
	Dec18	Dec19	Jun20	Sep20	Dec20	Mar21	Jun21	Sep21	Dec21	Mar22	Jun22	Sep22	Dec22	Mar23	Jun23	Sep23	Dec23	Mar24
Accounts Receivable	Get a 7-Day Free Trial													30.52	33.48	27.20	20.13	33.66

BigBear.ai Holdings Accounts Receivable Calculation

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

BigBear.ai Holdings 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.

BigBear.ai Holdings's Days Sales Outstanding for the quarter that ended in Mar. 2024 is calculated as:

	Days Sales Outstanding
=	Accounts Receivable	/	Revenue	*	Days in Period
=	33.657	/	30.471	*	91
=	100.79

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

BigBear.ai Holdings's Net-Net Working Capital Per Share for the quarter that ended in Mar. 2024 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)
=	(74.899	+	0.75 * 33.657	+	0.5 * 0	-	247.613
-	0	-	0)	/	246.061
=	-0.60

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.

BigBear.ai Holdings Accounts Receivable Related Terms

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BigBear.ai Holdings (FRA:28K1) Business Description

Industry

GURUFOCUS.COM » STOCK LIST » Technology » Software » BigBear.ai Holdings Inc (FRA:28K1) » Definitions » Accounts Receivable

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Traded in Other Exchanges

BBAI:USA 28K1:Germany

Address

6811 Benjamin Franklin Drive, Suite 200, Columbia, MD, USA, 21046

Website

https://www.bigbear.ai

BigBear.ai Holdings Inc is a technology-led solutions organization, that provides both software and services to its customers. Its AI-powered decision intelligence solutions are leveraged in three markets; supply chains & logistics, autonomous systems, and cybersecurity. It operates in two segments; Cyber & Engineering segment provides high-end technology and management consulting services to its customers, focusing on cloud engineering and enterprise IT, cybersecurity, computer network operations, and wireless, systems engineering, as well as program planning, and Analytics segment provides high-end technology and consulting services to its customers, focusing on data computing and analytical solutions, including predictive and prescriptive analytics solutions.

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