Abeja (TSE:5574) Stock Based Compensation : 円0 Mil (TTM As of Feb. 2024)

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What is Abeja Stock Based Compensation?

Abeja's Stock Based Compensation for the three months ended in Feb. 2024 was 円0 Mil. Its Stock Based Compensation for the trailing twelve months (TTM) ended in Feb. 2024 was 円0 Mil.

Abeja Stock Based Compensation Historical Data

The historical data trend for Abeja's Stock Based Compensation 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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Abeja Stock Based Compensation Chart

Abeja Annual Data

Trend

Aug21

Aug22

Aug23

Stock Based Compensation

-4.37

-1.75

Abeja Quarterly Data
	Aug21	Aug22	Feb23	May23	Aug23	Nov23	Feb24
Stock Based Compensation	Get a 7-Day Free Trial			-	-	-	-	-

Abeja Stock Based Compensation Calculation

Stock Based Compensation is a way corporations use stock options to reward employees. It provides executives and employees the opportunity to share in the growth of the company and, if structured properly, can align their interests with the interests of the company's shareholders and investors, without burning the company's cash on hand.

Stock Based Compensation for the trailing twelve months (TTM) ended in Feb. 2024 adds up the quarterly data reported by the company within the most recent 12 months, which was 円0 Mil.

Abeja Stock Based Compensation Related Terms

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Abeja (TSE:5574) Business Description

Industry

GURUFOCUS.COM » STOCK LIST » Technology » Software » Abeja Inc (TSE:5574) » Definitions » Stock Based Compensation

Comparable Companies

Traded in Other Exchanges

N/A

Address

1-1-14 Mita, Minato-ku, Bizflex Azabujuban, 2nd Floor, Tokyo, JPN, 108-0073

Website

https://www.abejainc.com

Abeja Inc is a platform that integrates state-of-the-art AI technologies including IoT, big data, and deep learning. It provides the processes necessary for DX execution, including data generation, collection, processing, analysis, and AI modeling, and performs continuous and stable operations.

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