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Insig AI (LSE:INSG) Return-on-Tangible-Asset : -5,609.53% (As of Mar. 2024)


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What is Insig AI Return-on-Tangible-Asset?

Return-on-Tangible-Asset is calculated as Net Income divided by its average total tangible assets. Total tangible assets equals to Total Assets minus Intangible Assets. Insig AI's annualized Net Income for the quarter that ended in Mar. 2024 was £-28.24 Mil. Insig AI's average total tangible assets for the quarter that ended in Mar. 2024 was £0.50 Mil. Therefore, Insig AI's annualized Return-on-Tangible-Asset for the quarter that ended in Mar. 2024 was -5,609.53%.

The historical rank and industry rank for Insig AI's Return-on-Tangible-Asset or its related term are showing as below:

LSE:INSG' s Return-on-Tangible-Asset Range Over the Past 10 Years
Min: -2622.55   Med: -223.76   Max: 40.15
Current: -2304.68

During the past 7 years, Insig AI's highest Return-on-Tangible-Asset was 40.15%. The lowest was -2622.55%. And the median was -223.76%.

LSE:INSG's Return-on-Tangible-Asset is ranked worse than
99.57% of 2816 companies
in the Software industry
Industry Median: 1.945 vs LSE:INSG: -2304.68

Insig AI Return-on-Tangible-Asset Historical Data

The historical data trend for Insig AI's Return-on-Tangible-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.

Insig AI Return-on-Tangible-Asset Chart

Insig AI Annual Data
Trend Mar18 Mar19 Mar20 Mar21 Mar22 Mar23 Mar24
Return-on-Tangible-Asset
Get a 7-Day Free Trial 39.24 - -223.76 -1,918.76 -2,622.55

Insig AI Semi-Annual Data
Mar19 Sep19 Mar20 Sep20 Sep21 Mar22 Sep22 Mar23 Sep23 Mar24
Return-on-Tangible-Asset Get a 7-Day Free Trial Premium Member Only Premium Member Only -279.31 -835.99 -4,081.09 -376.12 -5,609.53

Competitive Comparison of Insig AI's Return-on-Tangible-Asset

For the Software - Infrastructure subindustry, Insig AI's Return-on-Tangible-Asset, along with its competitors' market caps and Return-on-Tangible-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.


Insig AI's Return-on-Tangible-Asset Distribution in the Software Industry

For the Software industry and Technology sector, Insig AI's Return-on-Tangible-Asset distribution charts can be found below:

* The bar in red indicates where Insig AI's Return-on-Tangible-Asset falls into.



Insig AI Return-on-Tangible-Asset Calculation

Insig AI's annualized Return-on-Tangible-Asset for the fiscal year that ended in Mar. 2024 is calculated as:

Return-on-Tangible-Asset=Net Income/( (Total Tangible Assets+Total Tangible Assets)/ count )
(A: Mar. 2024 )  (A: Mar. 2023 )(A: Mar. 2024 )
=Net Income/( (Total Assets - Intangible Assets+Total Assets - Intangible Assets)/ count )
(A: Mar. 2024 )  (A: Mar. 2023 )(A: Mar. 2024 )
=-15.932/( (1.067+0.148)/ 2 )
=-15.932/0.6075
=-2,622.55 %

Insig AI's annualized Return-on-Tangible-Asset for the quarter that ended in Mar. 2024 is calculated as:

Return-on-Tangible-Asset=Net Income/( (Total Tangible Assets+Total Tangible Assets)/ count )
(Q: Mar. 2024 )  (Q: Sep. 2023 )(Q: Mar. 2024 )
=Net Income/( (Total Assets - Intangible Assets+Total Assets - Intangible Assets)/ count )
(Q: Mar. 2024 )  (Q: Sep. 2023 )(Q: Mar. 2024 )
=-28.244/( (0.859+0.148)/ 2 )
=-28.244/0.5035
=-5,609.53 %

* 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 Return-on-Tangible-Asset, the net income of the last fiscal year and the average total tangible assets over the fiscal year are used. In calculating the quarterly data, the Net Income data used here is two times the semi-annual (Mar. 2024) net income data.


Insig AI  (LSE:INSG) Return-on-Tangible-Asset Explanation

Return-on-Tangible-Asset measures the rate of return on the average total tangible assets (total assets minus intangible assets). Tangible means physical in nature. Intangible Assets are assets that are not physical in nature, and typically "derive their value from legal or intellectual rights." Return-on-Tangible-Asset measures a firm's efficiency at generating profits from its tangible assets. It shows how well a company uses what it has to generate earnings. Return-on-Tangible-Assets can vary drastically across industries. Therefore, Return-on-Tangible-Asset should not be used to compare companies in different industries.


Be Aware

Like ROE and ROA, Return-on-Tangible-Asset is calculated with only 12 months data. Fluctuations in the company’s earnings or business cycles can affect the ratio drastically. It is important to look at the ratio from a long term perspective. Return-on-Tangible-Asset can be affected by events such as stock buyback or issuance, and by a company’s tax rate and its interest payment. Return-on-Tangible-Asset may not reflect the true earning power of the assets. A more accurate measurement is ROC % (ROC).

Many analysts argue the higher return the better. Buffett states that really high Return-on-Tangible-Asset may indicate vulnerability in the durability of the competitive advantage.


Insig AI Return-on-Tangible-Asset Related Terms

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Insig AI Business Description

Industry
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.