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Abeja (TSE:5574) Additional Paid-In Capital : 円2,603 Mil(As of Feb. 2024)


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What is Abeja Additional Paid-In Capital?


Abeja's quarterly additional paid-in capital increased from Aug. 2023 (円2,516 Mil) to Nov. 2023 (円2,559 Mil) and increased from Nov. 2023 (円2,559 Mil) to Feb. 2024 (円2,603 Mil).

Abeja's annual additional paid-in capital increased from Aug. 2021 (円0 Mil) to Aug. 2022 (円1,884 Mil) and increased from Aug. 2022 (円1,884 Mil) to Aug. 2023 (円2,516 Mil).


Abeja Additional Paid-In Capital Historical Data

The historical data trend for Abeja's Additional Paid-In Capital 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 Additional Paid-In Capital Chart

Abeja Annual Data
Trend Aug21 Aug22 Aug23
Additional Paid-In Capital
- 1,883.58 2,516.36

Abeja Quarterly Data
Aug21 Aug22 Feb23 May23 Aug23 Nov23 Feb24
Additional Paid-In Capital Get a 7-Day Free Trial 1,883.58 1,883.58 2,516.36 2,558.90 2,603.06

Abeja Additional Paid-In Capital Calculation

Capital that a company raises in a financing round in excess of the capital's par value. The account represents the excess paid by an investor over the par-value price of a stock issue. Additional paid-in-capital can arise from issuing either preferred or common stock.

Additional Paid-In Capital is calculated as

Additional Paid-In Capital=(Issue Price-Par Value)* Shares Outstanding (Diluted Average)

Abeja Additional Paid-In Capital Related Terms

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Abeja (TSE:5574) Business Description

Industry
Traded in Other Exchanges
N/A
Address
1-1-14 Mita, Minato-ku, Bizflex Azabujuban, 2nd Floor, Tokyo, JPN, 108-0073
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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