iCetana (ASX:ICE) EBIT per Share : A$-0.01 (TTM As of Dec. 2023)

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What is iCetana EBIT per Share?

iCetana's EBIT per Share for the six months ended in Dec. 2023 was A$-0.00. Its EBIT per Share for the trailing twelve months (TTM) ended in Dec. 2023 was A$-0.01.

During the past 3 years, the average EBIT per Share Growth Rate was 22.20% per year. Please click Growth Rate Calculation Example (GuruFocus) to see how GuruFocus calculates Wal-Mart Stores Inc (WMT)'s revenue growth rate. You can apply the same method to get the EBIT per Share growth rate using EBIT per Share data.

The historical rank and industry rank for iCetana's EBIT per Share or its related term are showing as below:

ASX:ICE' s 3-Year EBIT Growth Rate Range Over the Past 10 Years
Min: 22.2 Med: 22.2 Max: 22.2
Current: 22.2

During the past 5 years, the highest 3-Year average EBIT per Share Growth Rate of iCetana was 22.20% per year. The lowest was 22.20% per year. And the median was 22.20% per year.

ASX:ICE's 3-Year EBIT Growth Rate is ranked better than
68.1% of 2053 companies
in the Software industry
Industry Median: 9.6 vs ASX:ICE: 22.20

iCetana's EBIT for the six months ended in Dec. 2023 was A$-0.77 Mil.

iCetana EBIT per Share Historical Data

The historical data trend for iCetana's EBIT per Share 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 EBIT per Share Chart

iCetana Annual Data

Trend

Jun19

Jun20

Jun21

Jun22

Jun23

EBIT per Share

-0.03

-0.02

-0.03

-0.02

iCetana Semi-Annual Data
	Dec19	Jun20	Dec20	Jun21	Dec21	Jun22	Dec22	Jun23	Dec23
EBIT per Share	Get a 7-Day Free Trial				-0.01	-0.01	-0.01	-0.01	-

iCetana EBIT per Share Calculation

EBIT per Share is the amount of Earnings Before Interest and Taxes (EBIT) per outstanding share of the company's stock.

Earnings Before Interest and Taxes (EBIT) is what the company earns before it expenses interest and taxes.

iCetana's EBIT per Share for the fiscal year that ended in Jun. 2023 is calculated as

	EBIT per Share		(A: Jun. 2023 )
=	EBIT	/	Shares Outstanding (Diluted Average)
=	-3.003	/	191.432
=	-0.02

iCetana's EBIT per Share for the quarter that ended in Dec. 2023 is calculated as

	EBIT per Share		(Q: Dec. 2023 )
=	EBIT	/	Shares Outstanding (Diluted Average)
=	-0.772	/	238.366
=	-0.00

EBIT per Share for the trailing twelve months (TTM) ended in Dec. 2023 adds up the semi-annually data reported by the company within the most recent 12 months, which was A$-0.01

iCetana (ASX:ICE) EBIT per Share Explanation

EBIT is a company's earnings before interest and tax expenses are deducted. It measures a company's profit generates from operating, ignoring tax burden and capital structure. As the tax expense are not deducted, EBIT is helpful when comparing companies in the same industry but with different tax situations. Also, the interest expense are included in EBIT, making it useful to compare companies that have high interest expenses due to large amount of debt.

iCetana EBIT per Share Related Terms

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iCetana (ASX:ICE) Business Description

Industry

GURUFOCUS.COM » STOCK LIST » Technology » Software » iCetana Ltd (ASX:ICE) » Definitions » EBIT per Share

Comparable Companies

Traded in Other Exchanges

N/A

Address

152 St Georges Terrace, Level 32, Perth, WA, AUS, 6000

Website

https://www.icetana.com.au

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.