Abeja (TSE:5574) Other Long-Term Liabilities : 円0 Mil (As of Feb. 2024)

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What is Abeja Other Long-Term Liabilities?

Abeja's other long-term liabilities for the quarter that ended in Feb. 2024 was 円0 Mil.

Abeja's quarterly other long-term liabilities declined from Aug. 2023 (円0 Mil) to Nov. 2023 (円0 Mil) but then increased from Nov. 2023 (円0 Mil) to Feb. 2024 (円0 Mil).

Abeja's annual other long-term liabilities increased from Aug. 2021 (円-0 Mil) to Aug. 2022 (円0 Mil) and increased from Aug. 2022 (円0 Mil) to Aug. 2023 (円0 Mil).

Abeja Other Long-Term Liabilities Historical Data

The historical data trend for Abeja's Other Long-Term Liabilities 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 Other Long-Term Liabilities Chart

Abeja Annual Data

Trend

Aug21

Aug22

Aug23

Other Long-Term Liabilities

Abeja Quarterly Data
	Aug21	Aug22	Feb23	May23	Aug23	Nov23	Feb24
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Abeja Other Long-Term Liabilities Calculation

Other Long-Term Liabilities are the other liabilities on the balance sheet that do not need to be repaid within the next 12 months, but still need to be repaid over time. For instance, on Wal-Mart's balance sheet, there are items called Long Term obligations under capital leases, deferred income taxes, and redeemable non-controlling interest. These are all Other Long-Term Liabilities.

Abeja Other Long-Term Liabilities Related Terms

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Abeja (TSE:5574) Business Description

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GURUFOCUS.COM » STOCK LIST » Technology » Software » Abeja Inc (TSE:5574) » Definitions » Other Long-Term Liabilities

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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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