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Insig AI (LSE:INSG) Interest Expense : £-0.14 Mil (TTM As of Sep. 2024)


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What is Insig AI Interest Expense?

Interest Expense is the amount reported by a company or individual as an expense for borrowed money. Insig AI's interest expense for the six months ended in Sep. 2024 was £ -0.07 Mil. Its interest expense for the trailing twelve months (TTM) ended in Sep. 2024 was £-0.14 Mil.

Interest Coverage is a ratio that determines how easily a company can pay interest expenses on outstanding debt. It is calculated by dividing a company's Operating Income(EBIT) by its Interest Expense. Insig AI's Operating Income for the six months ended in Sep. 2024 was £ -1.36 Mil. Insig AI's Interest Expense for the six months ended in Sep. 2024 was £ -0.07 Mil. Insig AI did not have earnings to cover the interest expense. The higher the ratio, the stronger the company's financial strength is. Note: If both Interest Expense and Interest Income are empty, while Net Interest Income is negative, then use Net Interest Income as Interest Expense.


Insig AI Interest Expense Historical Data

The historical data trend for Insig AI's Interest Expense 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 Interest Expense Chart

Insig AI Annual Data
Trend Mar18 Mar19 Mar20 Mar21 Mar22 Mar23 Mar24
Interest Expense
Get a 7-Day Free Trial -0.01 - -0.01 -0.08 -0.13

Insig AI Semi-Annual Data
Mar18 Mar19 Sep19 Mar20 Sep20 Mar21 Sep21 Mar22 Sep22 Mar23 Sep23 Mar24 Sep24
Interest Expense Get a 7-Day Free Trial Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only -0.02 -0.07 -0.07 -0.06 -0.07

Insig AI Interest Expense Calculation

Interest Expense is the amount reported by a company or individual as an expense for borrowed money.

Interest Expense for the trailing twelve months (TTM) ended in Sep. 2024 adds up the semi-annually data reported by the company within the most recent 12 months, which was £-0.14 Mil.

* 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.


Insig AI  (LSE:INSG) Interest Expense Explanation

Interest Coverage is a ratio that determines how easily a company can pay interest expenses on outstanding debt. It is calculated by dividing a company's Operating Income (EBIT) by its Interest Expense. The higher, the better.

Note: If both Interest Expense and Interest Income are empty, while Net Interest Income is negative, then use Net Interest Income as Interest Expense.

Insig AI's Interest Expense for the six months ended in Sep. 2024 was £-0.07 Mil. Its Operating Income for the six months ended in Sep. 2024 was £-1.36 Mil. And its Long-Term Debt & Capital Lease Obligation for the six months ended in Sep. 2024 was £0.00 Mil.

Insig AI's Interest Coverage for the quarter that ended in Sep. 2024 is calculated as

Insig AI did not have earnings to cover the interest expense.

* 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.

The higher the ratio, the stronger the company's financial strength is.


Insig AI Business Description

Traded in Other Exchanges
N/A
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.