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Scope AI (XCNQ:SCPE) Accounts Receivable : C$0.04 Mil (As of Dec. 2023)


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What is Scope AI Accounts Receivable?

Accounts Receivable are created when a customer has received a product but has not yet paid for that product. Scope AI's accounts receivables for the quarter that ended in Dec. 2023 was C$0.04 Mil.

Accounts receivable can be measured by Days Sales Outstanding.

In Ben Graham's calculation of Net-Net Working Capital, accounts receivable are only considered to be worth 75% of book value. Scope AI's Net-Net Working Capital per share for the quarter that ended in Dec. 2023 was C$0.02.

Scope AI Accounts Receivable Historical Data

The historical data trend for Scope AI'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.

Scope AI Accounts Receivable Chart

Scope AI Annual Data
Trend Sep21 Sep22 Sep23
Accounts Receivable
- 0.02 0.04

Scope AI Quarterly Data
Sep21 Dec21 Mar22 Jun22 Sep22 Dec22 Mar23 Jun23 Sep23 Dec23
Accounts Receivable Get a 7-Day Free Trial Premium Member Only Premium Member Only - - - 0.04 0.04

Scope AI Accounts Receivable Calculation

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

Scope AI 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.

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

Days Sales Outstanding
=Accounts Receivable/Revenue*Days in Period
=0.041/0*91
=

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

Scope AI'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)
=(1.19+0.75 * 0.041+0.5 * 0-0.254
-0-0)/40.39
=0.02

* 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.

Scope AI Accounts Receivable Related Terms

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Scope AI (XCNQ:SCPE) Business Description

Industry
GURUFOCUS.COM » STOCK LIST » Technology » Software » Scope AI Corp (XCNQ:SCPE) » Definitions » Accounts Receivable
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Traded in Other Exchanges
SCPCF:USA
Address
1800 - 510 West Georgia Street, Vancouver, BC, CAN, V6B 0M3
Website
https://www.scopecarboncorp.com
Scope Carbon Corp is a Canadian technology company. It develops Artificial Intelligence (AI) analytical software and intellectual property for use in analyzing data related to nature-based objects (e.g. forests, wetlands, and other areas) as it relates to carbon credit certification. The company's current business plan is to enable large volumes of object based data to be converted into digestible data that carbon credit experts and others are able to use to verify the characteristics of trees, wetlands, and other areas.