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Aiforia Technologies (OHEL:AIFORIA) Accounts Receivable : €0.63 Mil (As of Dec. 2023)


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What is Aiforia Technologies Accounts Receivable?

Accounts Receivable are created when a customer has received a product but has not yet paid for that product. Aiforia Technologies's accounts receivables for the quarter that ended in Dec. 2023 was €0.63 Mil.

Accounts receivable can be measured by Days Sales Outstanding. Aiforia Technologies's Days Sales Outstanding for the quarter that ended in Dec. 2023 was 77.42.

In Ben Graham's calculation of Net-Net Working Capital, accounts receivable are only considered to be worth 75% of book value. Aiforia Technologies's Net-Net Working Capital per share for the quarter that ended in Dec. 2023 was €0.16.


Aiforia Technologies Accounts Receivable Historical Data

The historical data trend for Aiforia Technologies'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.

Aiforia Technologies Accounts Receivable Chart

Aiforia Technologies Annual Data
Trend Dec18 Dec19 Dec20 Dec21 Dec22 Dec23
Accounts Receivable
Get a 7-Day Free Trial 0.12 0.26 0.14 0.99 0.63

Aiforia Technologies Semi-Annual Data
Dec18 Dec19 Jun20 Dec20 Jun21 Dec21 Jun22 Dec22 Jun23 Dec23
Accounts Receivable Get a 7-Day Free Trial Premium Member Only Premium Member Only 0.14 1.33 0.99 1.33 0.63

Aiforia Technologies Accounts Receivable Calculation

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


Aiforia Technologies 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.

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 Net-Net Working Capital (NNWC), Aiforia Technologies's accounts receivable are only considered to be worth 75% of book value:

Aiforia Technologies'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)
=(13.974+0.75 * 0.627+0.5 * 0-10.284
-0-0)/25.9506
=0.16

* 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.


Aiforia Technologies Accounts Receivable Related Terms

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Aiforia Technologies (OHEL:AIFORIA) Business Description

Traded in Other Exchanges
Address
Pursimiehenkatu 29-31 D, Helsinki, FIN, FI-00150
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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