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Scope AI (XCNQ:SCPE) EBIT : C$-3.09 Mil (TTM As of Dec. 2023)


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What is Scope AI EBIT?

Scope AI's earnings before interest and taxes (EBIT) for the three months ended in Dec. 2023 was C$-0.76 Mil. Its earnings before interest and taxes (EBIT) for the trailing twelve months (TTM) ended in Dec. 2023 was C$-3.09 Mil.

EBIT or Operating Income is linked to Return on Capital for both regular definition and Joel Greenblatt's definition. Scope AI's annualized ROC % for the quarter that ended in Dec. 2023 was -3,074.11%. Scope AI's annualized ROC (Joel Greenblatt) % for the quarter that ended in Dec. 2023 was %.

EBIT is also linked to Joel Greenblatt's definition of earnings yield. Scope AI's Earnings Yield (Joel Greenblatt) % for the quarter that ended in Dec. 2023 was -3.35%.


Scope AI EBIT Historical Data

The historical data trend for Scope AI's EBIT 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 EBIT Chart

Scope AI Annual Data
Trend Sep21 Sep22 Sep23
EBIT
- -0.37 -3.20

Scope AI Quarterly Data
Sep21 Dec21 Mar22 Jun22 Sep22 Dec22 Mar23 Jun23 Sep23 Dec23
EBIT Get a 7-Day Free Trial Premium Member Only Premium Member Only -0.87 -0.51 -0.89 -0.93 -0.76

Competitive Comparison of Scope AI's EBIT

For the Software - Infrastructure subindustry, Scope AI's EV-to-EBIT, along with its competitors' market caps and EV-to-EBIT data, can be viewed below:

* Competitive companies are chosen from companies within the same industry, with headquarter located in same country, with closest market capitalization; x-axis shows the market cap, and y-axis shows the term value; the bigger the dot, the larger the market cap. Note that "N/A" values will not show up in the chart.


Scope AI's EV-to-EBIT Distribution in the Software Industry

For the Software industry and Technology sector, Scope AI's EV-to-EBIT distribution charts can be found below:

* The bar in red indicates where Scope AI's EV-to-EBIT falls into.



Scope AI EBIT Calculation

EBIT, sometimes also called Earnings Before Interest and Taxes, is a measure of a firm's profit that includes all expenses except interest and income tax expenses. It is the difference between operating revenues and operating expenses. When a firm does not have non-operating income, then Operating Income is sometimes used as a synonym for EBIT and operating profit.

EBIT for the trailing twelve months (TTM) ended in Dec. 2023 adds up the quarterly data reported by the company within the most recent 12 months, which was C$-3.09 Mil.

* 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.


Scope AI  (XCNQ:SCPE) EBIT Explanation

1. EBIT or Operating Income is linked to Return on Capital for both regular definition and Joel Greenblatt's definition.

Scope AI's annualized ROC % for the quarter that ended in Dec. 2023 is calculated as:

ROC % (Q: Dec. 2023 )
=NOPAT/Average Invested Capital
=Operating Income * ( 1 - Tax Rate % )/( (Invested Capital (Q: Sep. 2023 ) + Invested Capital (Q: Dec. 2023 ))/ count )
=-3.028 * ( 1 - 0% )/( (0.122 + 0.075)/ 2 )
=-3.028/0.0985
=-3,074.11 %

where

Note: The Operating Income data used here is four times the quarterly (Dec. 2023) data.

2. Joel Greenblatt's definition of Return on Capital:

Scope AI's annualized ROC (Joel Greenblatt) % for the quarter that ended in Dec. 2023 is calculated as:

ROC (Joel Greenblatt) %(Q: Dec. 2023 )
=EBIT/Average of (Net fixed Assets + Net Working Capital)
=EBIT/Average of (Property, Plant and Equipment+Net Working Capital)
     Q: Sep. 2023  Q: Dec. 2023
=EBIT/( ( (Property, Plant and Equipment + Net Working Capital) + (Property, Plant and Equipment + Net Working Capital) )/ count )
=-3.028/( ( (0 + max(-0.262, 0)) + (0 + max(-0.107, 0)) )/ 2 )
=-3.028/( ( 0 + 0 )/ 2 )
=-3.028/0
= %

where Working Capital is:

Working Capital(Q: Sep. 2023 )
=(Accounts Receivable + Total Inventories + Other Current Assets) - (Accounts Payable & Accrued Expense + Defer. Rev. + Other Current Liabilities)
=(0.041 + 0 + 0.055) - (0.236 + 0 + 0.122)
=-0.262

Working Capital(Q: Dec. 2023 )
=(Accounts Receivable + Total Inventories + Other Current Assets) - (Accounts Payable & Accrued Expense + Defer. Rev. + Other Current Liabilities)
=(0.041 + 0 + 0.081) - (0.179 + 0 + 0.05)
=-0.107

When net working capital is negative, 0 is used.

Note: The EBIT data used here is four times the quarterly (Dec. 2023) EBIT data.

3. It is also linked to Joel Greenblatt's definition of Earnings Yield:

Scope AI's Earnings Yield (Joel Greenblatt) % for today is calculated as:

Earnings Yield (Joel Greenblatt) %=EBIT (TTM)/Enterprise Value (Q: Dec. 2023 )
=-3.089/92.315
=-3.35 %

* 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.


Scope AI EBIT Related Terms

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Scope AI (XCNQ:SCPE) Business Description

Traded in Other Exchanges
Address
1800 - 510 West Georgia Street, Vancouver, BC, CAN, V6B 0M3
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.