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iLearningEngines (iLearningEngines) Total Current Assets : $56.4 Mil (As of Jun. 2023)


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What is iLearningEngines Total Current Assets?

Total current assets includes Cash, Cash Equivalents, Marketable Securities, Total Receivables, Total Inventories, and Other Current Assets. iLearningEngines's total current assets for the quarter that ended in Jun. 2023 was $56.4 Mil.

iLearningEngines Total Current Assets Historical Data

The historical data trend for iLearningEngines's Total Current Assets 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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iLearningEngines Total Current Assets Chart

iLearningEngines Annual Data
Trend Dec20 Dec21 Dec22
Total Current Assets
- 39.36 45.05

iLearningEngines Semi-Annual Data
Dec20 Dec21 Jun22 Dec22 Jun23
Total Current Assets - 39.36 - 45.05 56.37

iLearningEngines Total Current Assets Calculation

Total Current Assets are the asset that can be converted to cash or used to pay current liabilities within 12 months.

iLearningEngines's Total Current Assets for the fiscal year that ended in Dec. 2022 is calculated as

Total Current Assets=Cash, Cash Equivalents, Marketable Securities+Total Receivables+Total Inventories+Other Current Assets
=0.856+44.106+0+0.087999999999994
=45.1

iLearningEngines's Total Current Assets for the quarter that ended in Jun. 2023 is calculated as

Total Current Assets=Cash, Cash Equivalents, Marketable Securities+Total Receivables+Total Inventories+Other Current Assets
=4.862+51.449+0+0.058999999999997
=56.4

* 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.

Total Current Assets is linked to the Current Ratio, which is the result of dividing total current assets by total current liabilities. It is frequently used as an indicator of a company's liquidity, its ability to meet short-term obligations.

Total Current Assets is also linked to Working Capital, Net working capital is calculated as Total Current Assets minus Total Current Liabilities.

iLearningEngines  (NAS:AILE) Total Current Assets Explanation

In Ben Graham's calculation of liquidation value, inventory is only considered worth half of its book value, and accounts receivable is considered worth 75% of its value. Therefore the liquidation value is lower than calculated from total current assets.

iLearningEngines's Liquidation Value for the quarter that ended in Jun. 2023 is

Liquidation value
= Cash, Cash Equivalents, Marketable Securities-Total Liabilities+(0.75 * Accounts Receivable)+(0.5 * Total Inventories)
=4.862-98.063+0.75 * 48.515+0.5 * 0
=-56.8

* 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.

iLearningEngines Total Current Assets Related Terms

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iLearningEngines (iLearningEngines) Business Description

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GURUFOCUS.COM » STOCK LIST » Technology » Software » iLearningEngines Inc (NAS:AILE) » Definitions » Total Current Assets
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Traded in Other Exchanges
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Address
6701 Democracy Boulevard, Suite 300, Bethesda, MD, USA, 20817
Website
https://www.ilearningengines.com
iLearningEngines Inc is an AI and automation platform that empowers its customers to productize their institutional knowledge by transforming it into actionable intellectual property that enhances outcomes for employees, customers and other stakeholders. Its platform enables enterprises to build intelligent Knowledge Clouds that incorporate large volumes of structured and unstructured information across disparate internal and external systems and to automate organizational processes that leverage these Knowledge Clouds to improve performance. The company combines its offerings with vertically focused capabilities and data models to operationalize AI and automation to effectively and efficiently address critical challenges facing its customers.