GURUFOCUS.COM » STOCK LIST » Technology » Software » iCetana Ltd (ASX:ICE) » Definitions » Loans Receivable

iCetana (ASX:ICE) Loans Receivable : A$0.00 Mil (As of Dec. 2023)


View and export this data going back to 2019. Start your Free Trial

What is iCetana Loans Receivable?

iCetana's Loans Receivable for the quarter that ended in Dec. 2023 was A$0.00 Mil.


iCetana Loans Receivable Historical Data

The historical data trend for iCetana's Loans Receivable 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.

* Premium members only.

iCetana Loans Receivable Chart

iCetana Annual Data
Trend Jun19 Jun20 Jun21 Jun22 Jun23
Loans Receivable
- - - - -

iCetana Semi-Annual Data
Dec19 Jun20 Dec20 Jun21 Dec21 Jun22 Dec22 Jun23 Dec23
Loans Receivable Get a 7-Day Free Trial Premium Member Only - - - - -

iCetana Loans Receivable Calculation

Loans Receivable are the funds that a company has lent but have not yet been repaid.


iCetana Loans Receivable Related Terms

Thank you for viewing the detailed overview of iCetana's Loans Receivable provided by GuruFocus.com. Please click on the following links to see related term pages.


iCetana (ASX:ICE) Business Description

Traded in Other Exchanges
N/A
Address
152 St Georges Terrace, Level 32, Perth, WA, AUS, 6000
iCetana Ltd is an AI-assisted video surveillance solution software company. It provides video analytics solutions for large scale surveillance networks. Its software integrates existing video management systems and IP cameras. Its geographical segments are Asia Pacific (APAC); North America (NA) and Europe, Middle East & Africa (EMEA). Its product includes iCetana AI video surveillance software which is an AI-driven video analytics surveillance solution designed to automatically identify anomalous events in real-time.