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Scope AI (XCNQ:SCPE) EBIT per Share : C$-0.09 (TTM As of Mar. 2024)


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What is Scope AI EBIT per Share?

Scope AI's EBIT per Share for the three months ended in Mar. 2024 was C$-0.02. Its EBIT per Share for the trailing twelve months (TTM) ended in Mar. 2024 was C$-0.09.

Please click Growth Rate Calculation Example (GuruFocus) to see how GuruFocus calculates Wal-Mart Stores Inc (WMT)'s revenue growth rate. You can apply the same method to get the EBIT per Share growth rate using EBIT per Share data.

The historical rank and industry rank for Scope AI's EBIT per Share or its related term are showing as below:

XCNQ:SCPE's 3-Year EBIT Growth Rate is not ranked *
in the Software industry.
Industry Median: 9.6
* Ranked among companies with meaningful 3-Year EBIT Growth Rate only.

Scope AI's EBIT for the three months ended in Mar. 2024 was C$-0.76 Mil.

Scope AI EBIT per Share Historical Data

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

Scope AI Annual Data
Trend Sep21 Sep22 Sep23
EBIT per Share
- -0.02 -0.09

Scope AI Quarterly Data
Sep21 Dec21 Mar22 Jun22 Sep22 Dec22 Mar23 Jun23 Sep23 Dec23 Mar24
EBIT per Share Get a 7-Day Free Trial Premium Member Only Premium Member Only Premium Member Only -0.01 -0.02 -0.02 -0.02 -0.02

Scope AI EBIT per Share Calculation

EBIT per Share is the amount of Earnings Before Interest and Taxes (EBIT) per outstanding share of the company's stock.

Earnings Before Interest and Taxes (EBIT) is what the company earns before it expenses interest and taxes.

Scope AI's EBIT per Share for the fiscal year that ended in Sep. 2023 is calculated as

EBIT per Share(A: Sep. 2023 )
=EBIT/Shares Outstanding (Diluted Average)
=-3.201/37.411
=-0.09

Scope AI's EBIT per Share for the quarter that ended in Mar. 2024 is calculated as

EBIT per Share(Q: Mar. 2024 )
=EBIT/Shares Outstanding (Diluted Average)
=-0.756/42.960
=-0.02

EBIT per Share for the trailing twelve months (TTM) ended in Mar. 2024 adds up the quarterly data reported by the company within the most recent 12 months, which was C$-0.09

* 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 per Share Explanation

EBIT is a company's earnings before interest and tax expenses are deducted. It measures a company's profit generates from operating, ignoring tax burden and capital structure. As the tax expense are not deducted, EBIT is helpful when comparing companies in the same industry but with different tax situations. Also, the interest expense are included in EBIT, making it useful to compare companies that have high interest expenses due to large amount of debt.

Scope AI EBIT per Share 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 » EBIT per Share
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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.