Rekor Systems (FRA:38E) Other Long-Term Liabilities : €0.54 Mil (As of Dec. 2023)

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What is Rekor Systems Other Long-Term Liabilities?

Rekor Systems's other long-term liabilities for the quarter that ended in Dec. 2023 was €0.54 Mil.

Rekor Systems's quarterly other long-term liabilities increased from Jun. 2023 (€1.93 Mil) to Sep. 2023 (€2.01 Mil) but then declined from Sep. 2023 (€2.01 Mil) to Dec. 2023 (€0.54 Mil).

Rekor Systems's annual other long-term liabilities increased from Dec. 2021 (€0.03 Mil) to Dec. 2022 (€1.34 Mil) but then declined from Dec. 2022 (€1.34 Mil) to Dec. 2023 (€0.54 Mil).

Rekor Systems Other Long-Term Liabilities Historical Data

The historical data trend for Rekor Systems's Other 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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Rekor Systems Other Long-Term Liabilities Chart

Rekor Systems Annual Data

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Other Long-Term Liabilities

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Rekor Systems Quarterly Data
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Rekor Systems Other Long-Term Liabilities Calculation

Other Long-Term Liabilities are the other liabilities on the balance sheet that do not need to be repaid within the next 12 months, but still need to be repaid over time. For instance, on Wal-Mart's balance sheet, there are items called Long Term obligations under capital leases, deferred income taxes, and redeemable non-controlling interest. These are all Other Long-Term Liabilities.

Rekor Systems Other Long-Term Liabilities Related Terms

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Rekor Systems (FRA:38E) Business Description

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REKR:USA 38E:Germany

Address

6721 Columbia Gateway Drive, Suite 400, Columbia, MD, USA, 21046

Website

https://www.rekor.ai

Rekor Systems Inc is a United States-based company. It is engaged in providing real-time roadway intelligence through AI-driven decisions. Rekor bridges commercial and government sectors with actionable, real-time vehicle recognition data. The firm uses artificial intelligence to analyze video streams and transform them into AI-driven decisions. Its machine learning software can turn most IP cameras into accurate vehicle recognition devices used to help protect lives, increase brand loyalty, and enhance operations and logistics. Its geographical segments are the United States, Canada, and Others, of which the majority of its revenue comes from the United States.

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