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EEAMI (XTAE:EEAM-M) Total Long-Term Liabilities : ₪0.00 Mil (As of Dec. 2024)


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What is EEAMI Total Long-Term Liabilities?

Total Long-Term Liabilities includes Long-Term Debt & Capital Lease Obligation, PensionAndRetirementBenefit, NonCurrent Deferred Liabilities and Other Long-Term Liabilities. EEAMI's Total Long-Term Liabilities for the quarter that ended in Dec. 2024 was ₪0.00 Mil.


EEAMI Total Long-Term Liabilities Historical Data

The historical data trend for EEAMI's Total Long-Term 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.

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EEAMI Total Long-Term Liabilities Chart

EEAMI Annual Data
Trend Dec19 Dec20 Dec21 Dec22 Dec23 Dec24
Total Long-Term Liabilities
Get a 7-Day Free Trial 1.69 2.55 4.32 3.46 -

EEAMI Semi-Annual Data
Dec19 Jun20 Dec20 Jun21 Dec21 Jun22 Dec22 Jun23 Dec23 Jun24 Dec24
Total Long-Term Liabilities Get a 7-Day Free Trial Premium Member Only Premium Member Only Premium Member Only 4.32 3.59 3.46 - -

EEAMI Total Long-Term Liabilities Calculation

Total Long-Term Liabilities represents the obiligation that incurred as part of normal operations that is expected to be repaid beyond the following twelve months or one business cycle, excluding minority interest. It includes Long-Term Debt & Capital Lease Obligation, PensionAndRetirementBenefit, NonCurrent Deferred Liabilities and Other Long-Term Liabilities.


EEAMI Total Long-Term Liabilities Related Terms

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EEAMI Business Description

Industry
Traded in Other Exchanges
N/A
Address
4 HaBarzel Street, Ramat HaHayal, Tel Aviv, ISR, 6971008
EEAMI Ltd, Formerly Ecoppia Scientific Ltd offers cloud-based, connected platform and a suite of robotic solutions for smart management of solar plants. The company's robots clean solar panels globally every night, with no water, no electricity, and no human intervention. The robotic systems are cloud-based, utilizing information processing for an optimal and continuous solar electricity generation.

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