Ecoppia Scientific (XTAE:ECPA-M) EBIT per Share : ₪-0.82 (TTM As of Jun. 2024)

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What is Ecoppia Scientific EBIT per Share?

Ecoppia Scientific's EBIT per Share for the six months ended in Jun. 2024 was ₪-0.60. Its EBIT per Share for the trailing twelve months (TTM) ended in Jun. 2024 was ₪-0.82.

During the past 3 years, the average EBIT per Share Growth Rate was 10.40% 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 Ecoppia Scientific's EBIT per Share or its related term are showing as below:

XTAE:ECPA-M' s 3-Year EBIT Growth Rate Range Over the Past 10 Years
Min: -71.8 Med: -30.7 Max: 10.4
Current: 10.4

During the past 5 years, the highest 3-Year average EBIT per Share Growth Rate of Ecoppia Scientific was 10.40% per year. The lowest was -71.80% per year. And the median was -30.70% per year.

XTAE:ECPA-M's 3-Year EBIT Growth Rate is ranked better than
57.44% of 733 companies
in the Semiconductors industry
Industry Median: 4.2 vs XTAE:ECPA-M: 10.40

Ecoppia Scientific's EBIT for the six months ended in Jun. 2024 was ₪-57.89 Mil.

Ecoppia Scientific EBIT per Share Historical Data

The historical data trend for Ecoppia Scientific'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.

Ecoppia Scientific EBIT per Share Chart

Ecoppia Scientific Annual Data

Trend

Dec19

Dec20

Dec21

Dec22

Dec23

EBIT per Share

-0.12

-1.64

-0.48

-0.79

-0.50

Ecoppia Scientific Semi-Annual Data
	Dec19	Jun20	Dec20	Jun21	Dec21	Jun22	Dec22	Jun23	Dec23	Jun24
EBIT per Share	Get a 7-Day Free Trial					-0.28	-0.50	-0.29	-0.22	-0.60

Ecoppia Scientific 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.

Ecoppia Scientific's EBIT per Share for the fiscal year that ended in Dec. 2023 is calculated as

	EBIT per Share		(A: Dec. 2023 )
=	EBIT	/	Shares Outstanding (Diluted Average)
=	-48.795	/	98.328
=	-0.50

Ecoppia Scientific's EBIT per Share for the quarter that ended in Jun. 2024 is calculated as

	EBIT per Share		(Q: Jun. 2024 )
=	EBIT	/	Shares Outstanding (Diluted Average)
=	-57.889	/	96.206
=	-0.60

EBIT per Share for the trailing twelve months (TTM) ended in Jun. 2024 adds up the semi-annually data reported by the company within the most recent 12 months, which was ₪-0.82

Ecoppia Scientific (XTAE:ECPA-M) 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.

Ecoppia Scientific EBIT per Share Related Terms

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Ecoppia Scientific Business Description

Industry

GURUFOCUS.COM » STOCK LIST » Technology » Semiconductors » Ecoppia Scientific Ltd (XTAE:ECPA-M) » Definitions » EBIT per Share

Comparable Companies

Traded in Other Exchanges

N/A

Address

4 HaBarzel Street, Ramat HaHayal, Tel Aviv, ISR, 6971008

Website

https://www.ecoppia.com

Ecoppia Scientific Ltd offers cloud-based, connected platform and a suite of robotic solutions for smart management of solar plants. The company's robots clean solar panels globally every night, with no water, no electricity, and no human intervention. The robotic systems are cloud-based, utilizing advanced information processing for an optimal and continuous solar electricity generation.

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