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Insig AI (LSE:INSG) 5-Year RORE % : 0.00% (As of Mar. 2024)


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What is Insig AI 5-Year RORE %?

Return on Retained Earnings (RORE) is an indicator of a company's growth potential, it shows how much a company earns by reinvesting its retained earnings, i.e. profits after dividend payments. Insig AI's 5-Year RORE % for the quarter that ended in Mar. 2024 was 0.00%.

The industry rank for Insig AI's 5-Year RORE % or its related term are showing as below:

LSE:INSG's 5-Year RORE % is not ranked *
in the Software industry.
Industry Median: 5.68
* Ranked among companies with meaningful 5-Year RORE % only.

Insig AI 5-Year RORE % Historical Data

The historical data trend for Insig AI's 5-Year RORE % 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.

Insig AI 5-Year RORE % Chart

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Insig AI Semi-Annual Data
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Competitive Comparison of Insig AI's 5-Year RORE %

For the Software - Infrastructure subindustry, Insig AI's 5-Year RORE %, along with its competitors' market caps and 5-Year RORE % 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.


Insig AI's 5-Year RORE % Distribution in the Software Industry

For the Software industry and Technology sector, Insig AI's 5-Year RORE % distribution charts can be found below:

* The bar in red indicates where Insig AI's 5-Year RORE % falls into.



Insig AI 5-Year RORE % Calculation

Insig AI's 5-Year RORE % for the quarter that ended in Mar. 2024 is calculated as:

5-Year RORE %=( Most Recent EPS (Diluted)- First Period EPS (Diluted) )/( Cumulative EPS (Diluted) for 5-year -Cumulative Dividends per Share for 5-year )
=( - )/( -0.387-0 )
=/-0.387
=0.00 %

* 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 5-Year RORE %, the most recent and first period EPS (Diluted) is the trailing twelve months (TTM) data ended in Mar. 2024 and 5-year before.


Insig AI  (LSE:INSG) 5-Year RORE % Explanation

Return on Retained Earnings (RORE) is important to investors because it reveals a company's efficiency and growth potential. A higher RORE indicates a higher return. A high RORE indicates that the company should reinvest profits into the business. A lower RORE suggests that the company should distribute profits to shareholders by paying out dividends, since those dollars aren't generating much additional growth for the company.

There are a several different ways to arrive at the Return on Retained Earnings. The simplest way to calculate it is by using published information on Earnings per Share (EPS) and Dividend per Share (DPS) over a selected period. Here, 5-year period is chosen.

Be Aware

Please keep in mind that the RORE is relative to the nature of the business and its competitors. If another company in the same sector is producing a lower return on retained earnings, it doesn’t necessarily mean it’s a bad investment. It may just suggest the company is older and no longer in a high growth stage. At such a stage in the business cycle, it would be expected to see a lower RORE and higher dividend payout.


Insig AI 5-Year RORE % Related Terms

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Insig AI Business Description

Traded in Other Exchanges
Address
6 Heddon Street, London, GBR, W1B 4BT
Insig AI PLC integrates software, data science and cloud computing to help asset managers make decisions, generate value, and manage their workflow more effectively. The Company's segments trading segments were machine learning and data services.