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iLearningEngines (iLearningEngines) Days Payable : 2.78 (As of Jun. 2023)


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What is iLearningEngines Days Payable?

iLearningEngines's average Accounts Payable for the six months ended in Jun. 2023 was $0.9 Mil. iLearningEngines's Cost of Goods Sold for the six months ended in Jun. 2023 was $61.6 Mil. Hence, iLearningEngines's Days Payable for the six months ended in Jun. 2023 was 2.78.

The historical rank and industry rank for iLearningEngines's Days Payable or its related term are showing as below:

AILE' s Days Payable Range Over the Past 10 Years
Min: 2.58   Med: 2.81   Max: 3.05
Current: 3.05

During the past 3 years, iLearningEngines's highest Days Payable was 3.05. The lowest was 2.58. And the median was 2.81.

AILE's Days Payable is ranked worse than
97.39% of 2533 companies
in the Software industry
Industry Median: 50.13 vs AILE: 3.05

iLearningEngines's Days Payable increased from Jun. 2022 (2.29) to Jun. 2023 (2.78). It may suggest that iLearningEngines delayed paying its suppliers.


iLearningEngines Days Payable Historical Data

The historical data trend for iLearningEngines's Days Payable 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 Days Payable Chart

iLearningEngines Annual Data
Trend Dec20 Dec21 Dec22
Days Payable
- 3.04 2.58

iLearningEngines Semi-Annual Data
Dec20 Dec21 Jun22 Dec22 Jun23
Days Payable - - 2.29 2.82 2.78

Competitive Comparison of iLearningEngines's Days Payable

For the Software - Infrastructure subindustry, iLearningEngines's Days Payable, along with its competitors' market caps and Days Payable data, can be viewed below:

* Competitive companies are chosen from companies within the same industry, with headquarter located in same country, with closest market capitalization; x-axis shows the market cap, and y-axis shows the term value; the bigger the dot, the larger the market cap. Note that "N/A" values will not show up in the chart.


iLearningEngines's Days Payable Distribution in the Software Industry

For the Software industry and Technology sector, iLearningEngines's Days Payable distribution charts can be found below:

* The bar in red indicates where iLearningEngines's Days Payable falls into.



iLearningEngines Days Payable Calculation

Days Payable indicates the number of days that the account payable relative to cost of goods sold the company has. An increase of Days Payable may suggest that the company delays paying its suppliers.

iLearningEngines's Days Payable for the fiscal year that ended in Dec. 2022 is calculated as

Days Payable (A: Dec. 2022 )
=Average Accounts Payable /Cost of Goods Sold*Days in Period
=( (Accounts Payable (A: Dec. 2021 ) + Accounts Payable (A: Dec. 2022 )) / count ) / Cost of Goods Sold (A: Dec. 2022 )*Days in Period
=( (0.54 + 0.787) / 2 ) / 93.89*365
=0.6635 / 93.89*365
=2.58

iLearningEngines's Days Payable for the quarter that ended in Jun. 2023 is calculated as:

Days Payable (Q: Jun. 2023 )
=Average Accounts Payable / Cost of Goods Sold*Days in Period
=( (Accounts Payable (Q: Dec. 2022 ) + Accounts Payable (Q: Jun. 2023 )) / count ) / Cost of Goods Sold (Q: Jun. 2023 )*Days in Period
=( (0.787 + 1.091) / 2 ) / 61.645*365 / 2
=0.939 / 61.645*365 / 2
=2.78

* 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 Days Payable Related Terms

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iLearningEngines (iLearningEngines) Business Description

Comparable Companies
Traded in Other Exchanges
N/A
Address
6701 Democracy Boulevard, Suite 300, Bethesda, MD, USA, 20817
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.