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iLearningEngines (iLearningEngines) Total Current Liabilities : $19.6 Mil (As of Jun. 2023)


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What is iLearningEngines Total Current Liabilities?

Total current liabilities includes Accounts Payable & Accrued Expense, Short-Term Debt & Capital Lease Obligation, Other Current Liabilities, and Current Deferred Liabilities. iLearningEngines's total current liabilities for the quarter that ended in Jun. 2023 was $19.6

iLearningEngines Total Current Liabilities Historical Data

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

iLearningEngines Annual Data
Trend Dec20 Dec21 Dec22
Total Current Liabilities
- 8.62 15.34

iLearningEngines Semi-Annual Data
Dec20 Dec21 Jun22 Dec22 Jun23
Total Current Liabilities - 8.62 - 15.34 19.60

iLearningEngines Total Current Liabilities Calculation

Total Current Liabilities is the total amount of liabilities that the company needs to pay over the next 12 months.

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

Total Current Liabilities=Accounts Payable & Accrued Expense+Short-Term Debt & Capital Lease Obligation
=4.784+8.138
+Other Current Liabilities+Current Deferred Liabilities
=0.313+2.106
=15.3

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

Total Current Liabilities=Accounts Payable & Accrued Expense+Short-Term Debt & Capital Lease Obligation
=5.418+10.686
+Other Current Liabilities+Current Deferred Liabilities
=0.255+3.239
=19.6

* 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 increase of Total Current Liabilities of a company is not necessarily a bad thing. This may conserve the company's cash and contribute positively to cash flow.

Total Current Liabilities is linked to Total Current Assets through the Current Ratio and Working Capital. The Current Ratio is equal to 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. Net working capital is calculated as Total Current Assets minus Total Current Liabilities.

Be Aware

Stay away from companies that roll over the debt e.g. Bear Stearns

When investing in financial institutions, Buffett shies from those who are bigger borrowers of short term than long term debt.

His favorite Wells Fargo has 57 cents short term debt for every dollar of long term.

Aggressive banks (like Bank of America) has $2.09 short term for every dollar long term

iLearningEngines Total Current Liabilities 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 Liabilities
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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.