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Abeja (TSE:5574) Price-to-Tangible-Book : 7.55 (As of May. 25, 2024)


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What is Abeja Price-to-Tangible-Book?

As of today (2024-05-25), Abeja's share price is 円3150.00. Abeja's Tangible Book per Share of Feb. 2024 for the quarter that ended in Feb. 2024 was 円416.97. Hence, Abeja's Price to Tangible Book Ratio of today is 7.55.

The historical rank and industry rank for Abeja's Price-to-Tangible-Book or its related term are showing as below:

TSE:5574' s Price-to-Tangible-Book Range Over the Past 10 Years
Min: 7.55   Med: 11.94   Max: 13.07
Current: 7.55

During the past 3 years, Abeja's highest Price to Tangible Book Ratio was 13.07. The lowest was 7.55. And the median was 11.94.

TSE:5574's Price-to-Tangible-Book is ranked worse than
71.7% of 2085 companies
in the Software industry
Industry Median: 3.55 vs TSE:5574: 7.55

A closely related ratio is called PB Ratio. As of today, Abeja's share price is 円3150.00. Abeja's Book Value per Sharefor the quarter that ended in Feb. 2024 was 円418.04. Hence, Abeja's P/B Ratio of today is 7.54.


Abeja Price-to-Tangible-Book Historical Data

The historical data trend for Abeja's Price-to-Tangible-Book 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.

Abeja Price-to-Tangible-Book Chart

Abeja Annual Data
Trend Aug21 Aug22 Aug23
Price-to-Tangible-Book
- - 13.07

Abeja Quarterly Data
Aug21 Aug22 Feb23 May23 Aug23 Nov23 Feb24
Price-to-Tangible-Book Get a 7-Day Free Trial - - 13.07 11.21 11.94

Competitive Comparison of Abeja's Price-to-Tangible-Book

For the Software - Infrastructure subindustry, Abeja's Price-to-Tangible-Book, along with its competitors' market caps and Price-to-Tangible-Book data, can be viewed below:

* Competitive companies are chosen from companies within the same industry, with headquarter located in same country, with closest market capitalization; x-axis shows the market cap, and y-axis shows the term value; the bigger the dot, the larger the market cap. Note that "N/A" values will not show up in the chart.


Abeja's Price-to-Tangible-Book Distribution in the Software Industry

For the Software industry and Technology sector, Abeja's Price-to-Tangible-Book distribution charts can be found below:

* The bar in red indicates where Abeja's Price-to-Tangible-Book falls into.



Abeja Price-to-Tangible-Book Calculation

Abeja's price-to-tangible-book ratio for today is calculated as:

Price to Tangible Book=Share Price/Tangible Book per Share (Q: Feb. 2024 )
=3150.00/416.974
=7.55

* 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.

It can also be calculated from the numbers for the whole company:

A closely related ratio is called PB Ratio. The difference between Price-to-Tangible-Book Ratio and PB Ratio is that book value other than intangibles are used in the calculation.


Be Aware

Some businesses have very light assets, such as software companies or insurance agencies. The Price-to-Book Ratio does not work well for these companies. Some companies even have negative equity, so the Price-to-Book Ratio cannot be applied to them.


Abeja Price-to-Tangible-Book Related Terms

Thank you for viewing the detailed overview of Abeja's Price-to-Tangible-Book provided by GuruFocus.com. Please click on the following links to see related term pages.


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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