Aiforia Technologies (OHEL:AIFORIA) Change In Receivables : €0.50 Mil (TTM As of Dec. 2023)

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What is Aiforia Technologies Change In Receivables?

Aiforia Technologies's change in receivables for the quarter that ended in Dec. 2023 was €0.12 Mil. It means Aiforia Technologies's Accounts Receivable declined by €0.12 Mil from Jun. 2023 to Dec. 2023 .

Aiforia Technologies's change in receivables for the fiscal year that ended in Dec. 2023 was €0.50 Mil. It means Aiforia Technologies's Accounts Receivable declined by €0.50 Mil from Dec. 2022 to Dec. 2023 .

Aiforia Technologies's Accounts Receivable for the quarter that ended in Dec. 2023 was €0.63 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. Aiforia Technologies's Days Sales Outstanding for the six months ended in Dec. 2023 was 77.42.

In Ben Graham's calculation of liquidation value, Apple Inc's Accounts Receivable are only considered to be worth 75% of book value. Aiforia Technologies's liquidation value for the six months ended in Dec. 2023 was €4.16 Mil.

Aiforia Technologies Change In Receivables Historical Data

The historical data trend for Aiforia Technologies'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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Aiforia Technologies Change In Receivables Chart

Aiforia Technologies Annual Data

Trend

Dec18

Dec19

Dec20

Dec21

Dec22

Dec23

Change In Receivables

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-0.84

-0.34

-0.62

0.50

Aiforia Technologies Semi-Annual Data
	Dec18	Dec19	Jun20	Dec20	Jun21	Dec21	Jun22	Dec22	Jun23	Dec23
Change In Receivables	Get a 7-Day Free Trial					-0.35	-0.25	-0.38	0.38	0.12

Aiforia Technologies 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 semi-annually data reported by the company within the most recent 12 months, which was €0.50 Mil.

Aiforia Technologies (OHEL:AIFORIA) 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.

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

	Days Sales Outstanding
=	Accounts Receivable	/	Revenue	*	Days in Period
=	0.627	/	1.478	*	91
=	77.42

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

Aiforia Technologies'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)
=	13.974	-	10.284	+	0.75 * 0.627	+	0.5 * 0
=	4.16

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Aiforia Technologies (OHEL:AIFORIA) Business Description

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GURUFOCUS.COM » STOCK LIST » Healthcare » Healthcare Providers & Services » Aiforia Technologies PLC (OHEL:AIFORIA) » Definitions » Change In Receivables

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L6J:Germany

Address

Pursimiehenkatu 29-31 D, Helsinki, FIN, FI-00150

Website

https://www.aiforia.com

Aiforia Technologies PLC equips pathologists and scientists in preclinical and clinical labs with powerful deep learning artificial intelligence software for translating images into discoveries, decisions, and diagnoses. The cloud based Aiforia products and services aim to escalate the efficiency and precision of medical image analysis beyond current capabilities, across a variety of fields from oncology to neuroscience and more.

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