Abeja (TSE:5574) YoY EBITDA Growth : 0.00% (As of Feb. 2024)

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What is Abeja YoY EBITDA Growth?

YoY EBITDA Growth is the percentage change of EBITDA per Share over the past twelve months. Abeja's YoY EBITDA Growth for the quarter that ended in Feb. 2024 was 0.00%.

Abeja's EBITDA per Share for the three months ended in Feb. 2024 was 円13.97.

Abeja YoY EBITDA Growth Historical Data

The historical data trend for Abeja's YoY EBITDA Growth 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 YoY EBITDA Growth Chart

Abeja Annual Data

Trend

Aug21

Aug22

Aug23

YoY EBITDA Growth

1.73

196.37

Abeja Quarterly Data
	Aug21	Aug22	Feb23	May23	Aug23	Nov23	Feb24
YoY EBITDA Growth	Get a 7-Day Free Trial			-	-	-	-	-

Abeja YoY EBITDA Growth Calculation

YoY EBITDA Growth is the percentage change of EBITDA per Share over the past twelve months.

Abeja's YoY EBITDA Growth for the fiscal year that ended in Aug. 2023 is calculated as:

	YoY EBITDA Growth (A: Aug. 2023 )
=	(EBITDA per Share (A: Aug. 2023 )	-	EBITDA per Share (A: Aug. 2022 ))	/	\| EBITDA per Share (A: Aug. 2022 ) \|
=	(39.162	-	-40.636)	/	\| -40.636 \|
=	196.37 %

Abeja's YoY EBITDA Growth for the quarter that ended in Feb. 2024 is calculated as:

	YoY EBITDA Growth (Q: Feb. 2024 )
=	(EBITDA per Share (Q: Feb. 2024 )	-	EBITDA per Share (Q: Feb. 2023 ))	/	\| EBITDA per Share (Q: Feb. 2023 )) \|
=	(13.969	-	0)	/	\| 0 \|
=	N/A %

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Abeja (TSE:5574) Business Description

Industry

GURUFOCUS.COM » STOCK LIST » Technology » Software » Abeja Inc (TSE:5574) » Definitions » YoY EBITDA Growth

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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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