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Inseego (STU:INO0) Total Liabilities : €209.4 Mil (As of Mar. 2024)


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What is Inseego Total Liabilities?

Inseego's Total Liabilities for the quarter that ended in Mar. 2024 was €209.4 Mil.

Inseego's quarterly Total Liabilities declined from Sep. 2023 (€213.20 Mil) to Dec. 2023 (€205.32 Mil) but then increased from Dec. 2023 (€205.32 Mil) to Mar. 2024 (€209.44 Mil).

Inseego's annual Total Liabilities increased from Dec. 2021 (€213.02 Mil) to Dec. 2022 (€217.18 Mil) but then declined from Dec. 2022 (€217.18 Mil) to Dec. 2023 (€205.32 Mil).


Inseego Total Liabilities Historical Data

The historical data trend for Inseego's Total Liabilities 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.

Inseego Total Liabilities Chart

Inseego Annual Data
Trend Dec14 Dec15 Dec16 Dec17 Dec18 Dec19 Dec20 Dec21 Dec22 Dec23
Total Liabilities
Get a 7-Day Free Trial Premium Member Only Premium Member Only 178.86 209.85 213.02 217.18 205.32

Inseego Quarterly Data
Jun19 Sep19 Dec19 Mar20 Jun20 Sep20 Dec20 Mar21 Jun21 Sep21 Dec21 Mar22 Jun22 Sep22 Dec22 Mar23 Jun23 Sep23 Dec23 Mar24
Total Liabilities Get a 7-Day Free Trial Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only 215.24 207.22 213.20 205.32 209.44

Inseego Total Liabilities Calculation

Total Liabilities are the liabilities that the company has to pay others. It is a part of the balance sheet of a company that shareholders do not own, and would be obligated to pay back if the company liquidated.

Inseego's Total Liabilities for the fiscal year that ended in Dec. 2023 is calculated as

Total Liabilities=Total Current Liabilities+Total Noncurrent Liabilities
=Total Current Liabilities+(Long-Term Debt & Capital Lease Obligation+Other Long-Term Liabilities
=51.27+(151.26+2.164
+NonCurrent Deferred Liabilities+PensionAndRetirementBenefit)
+0.624+0)
=205.3

Total Liabilities=Total Assets (A: Dec. 2023 )-Total Equity (A: Dec. 2023 )
=111.688--93.63
=205.3

Inseego's Total Liabilities for the quarter that ended in Mar. 2024 is calculated as

Total Liabilities=Total Current Liabilities+Total Noncurrent Liabilities
=Total Current Liabilities+(Long-Term Debt & Capital Lease Obligation+Other Long-Term Liabilities
=54.735+(151.851+2.237
+NonCurrent Deferred Liabilities+PensionAndRetirementBenefit)
+0.621+0)
=209.4

Total Liabilities=Total Assets (Q: Mar. 2024 )-Total Equity (Q: Mar. 2024 )
=112.303--97.142
=209.4

* 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.


Inseego Total Liabilities Related Terms

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Inseego (STU:INO0) Business Description

Traded in Other Exchanges
Address
9710 Scranton Road, Suite 200, Suite 200, CA, USA, 92121
Inseego Corp is into the design and development of fixed and mobile wireless solutions (advanced 4G and 5G NR), Industrial Internet of Things and cloud solutions for enterprises, service providers, small and medium-sized businesses, governments, and consumers around the globe. The product portfolio consists of fixed and mobile device-to-cloud solutions that provide secure end-to-end IoT services with deep business intelligence. The Company's products and services include intelligent mobile hotspots, wireless routers for IoT applications, USB modems, integrated telematics and mobile tracking hardware devices, which are supported by applications software and cloud services designed to enable customers to easily analyze data insights and configure and manage their hardware.

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