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SecondXight Analytica (TSE:5028) Gross-Profit-to-Asset % : 61.89% (As of Mar. 2024)


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What is SecondXight Analytica Gross-Profit-to-Asset %?

Gross-Profit-to-Asset % is calculated as Gross Profit divided by its average Total Assets over a certain period of time. SecondXight Analytica's annualized Gross Profit for the quarter that ended in Mar. 2024 was 円537.2 Mil. SecondXight Analytica's average Total Assets over the quarter that ended in Mar. 2024 was 円867.9 Mil. Therefore, SecondXight Analytica's annualized Gross-Profit-to-Asset % for the quarter that ended in Mar. 2024 was 61.89%.


SecondXight Analytica Gross-Profit-to-Asset % Historical Data

The historical data trend for SecondXight Analytica's Gross-Profit-to-Asset % 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.

SecondXight Analytica Gross-Profit-to-Asset % Chart

SecondXight Analytica Annual Data
Trend Mar20 Mar21 Mar22
Gross-Profit-to-Asset %
53.99 79.48 81.07

SecondXight Analytica Quarterly Data
Mar20 Mar21 Dec21 Mar22 Jun22 Sep22 Dec22 Mar23 Jun23 Sep23 Dec23 Mar24
Gross-Profit-to-Asset % Get a 7-Day Free Trial Premium Member Only Premium Member Only Premium Member Only Premium Member Only 119.05 31.66 39.80 52.66 61.89

Competitive Comparison of SecondXight Analytica's Gross-Profit-to-Asset %

For the Software - Infrastructure subindustry, SecondXight Analytica's Gross-Profit-to-Asset %, along with its competitors' market caps and Gross-Profit-to-Asset % 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.


SecondXight Analytica's Gross-Profit-to-Asset % Distribution in the Software Industry

For the Software industry and Technology sector, SecondXight Analytica's Gross-Profit-to-Asset % distribution charts can be found below:

* The bar in red indicates where SecondXight Analytica's Gross-Profit-to-Asset % falls into.



SecondXight Analytica Gross-Profit-to-Asset % Calculation

SecondXight Analytica's annualized Gross-Profit-to-Asset % for the fiscal year that ended in Mar. 2022 is calculated as:

Gross-Profit-to-Asset %=Gross Profit (A: Mar. 2022 )/( (Total Assets (A: Mar. 2021 )+Total Assets (A: Mar. 2022 ))/ count )
=465.714/( (497.126+651.791)/ 2 )
=465.714/574.4585
=81.07 %

SecondXight Analytica's annualized Gross-Profit-to-Asset % for the quarter that ended in Mar. 2024 is calculated as:

Gross-Profit-to-Asset %=Gross Profit (Q: Mar. 2024 )/( (Total Assets (Q: Dec. 2023 )+Total Assets (Q: Mar. 2024 ))/ count )
=537.156/( (0+867.856)/ 1 )
=537.156/867.856
=61.89 %

* 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.

In the calculation of annual Gross-Profit-to-Asset %, the Gross Profit of the last fiscal year and the average total assets over the fiscal year are used. In calculating the quarterly data, the Gross Profit data used here is four times the quarterly (Mar. 2024) data. Gross-Profit-to-Asset % is displayed in the 30-year financial page.


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SecondXight Analytica (TSE:5028) Business Description

Traded in Other Exchanges
N/A
Address
3-2-11 Nihonbashihoncho, Imon Nihonbashihoncho Building 4th Floor, Chuo-ku, Tokyo, JPN, 103-0023
SecondXight Analytica Inc is engaged in providing analytics consulting services and artificial intelligence products based on machine learning and deep learning.

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