AIFF (Firefly Neuroscience) Net Margin % : -12,996.97% (As of Sep. 2024)

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What is Firefly Neuroscience Net Margin %?

Net margin is calculated as Net Income divided by its Revenue. Firefly Neuroscience's Net Income for the three months ended in Sep. 2024 was $-4.29 Mil. Firefly Neuroscience's Revenue for the three months ended in Sep. 2024 was $0.03 Mil. Therefore, Firefly Neuroscience's net margin for the quarter that ended in Sep. 2024 was -12,996.97%.

The historical rank and industry rank for Firefly Neuroscience's Net Margin % or its related term are showing as below:

AIFF' s Net Margin % Range Over the Past 10 Years
Min: -13690.63 Med: -13690.63 Max: -241.56
Current: -241.56

AIFF's Net Margin % is ranked worse than
93.8% of 2759 companies
in the Software industry
Industry Median: 2.56 vs AIFF: -241.56

Firefly Neuroscience Net Margin % Historical Data

The historical data trend for Firefly Neuroscience's Net Margin % 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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Firefly Neuroscience Net Margin % Chart

Firefly Neuroscience Annual Data

Trend

Dec21

Dec22

Net Margin %

-13,690.63

Firefly Neuroscience Quarterly Data
	Dec21	Sep22	Dec22	Jun23	Sep23	Jun24	Sep24
Net Margin %	Get a 7-Day Free Trial			-	11.60	-2,826.09	-20.48	-12,996.97

Competitive Comparison of Firefly Neuroscience's Net Margin %

For the Software - Application subindustry, Firefly Neuroscience's Net Margin %, along with its competitors' market caps and Net Margin % 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.

Firefly Neuroscience's Net Margin % Distribution in the Software Industry

For the Software industry and Technology sector, Firefly Neuroscience's Net Margin % distribution charts can be found below:

* The bar in red indicates where Firefly Neuroscience's Net Margin % falls into.

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Firefly Neuroscience Net Margin % Calculation

Net margin - also known as net profit margin is the ratio of Net Income divided by net sales or Revenue, usually presented in percent.

Firefly Neuroscience's Net Margin for the fiscal year that ended in Dec. 2022 is calculated as

Net Margin	=	Net Income (A: Dec. 2022 )	/	Revenue (A: Dec. 2022 )
	=	-3.789	/	0
	=	%

Firefly Neuroscience's Net Margin for the quarter that ended in Sep. 2024 is calculated as

Net Margin	=	Net Income (Q: Sep. 2024 )	/	Revenue (Q: Sep. 2024 )
	=	-4.289	/	0.033
	=	-12,996.97 %

Firefly Neuroscience (NAS:AIFF) Net Margin % Explanation

Although Net Income and Earnings-per-Share (EPS) are the most widely used parameter in measuring a company's profitability and valuation, it is the least reliable. The reason is that reported earnings can be manipulated easily by adjusting any numbers such as Depreciation, Depletion and Amotorization and non-recurring items.

But the long term trend of the net margin is a good indicator of the competitiveness and health of the business.

Firefly Neuroscience Net Margin % Related Terms

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Firefly Neuroscience Business Description

Industry

GURUFOCUS.COM » STOCK LIST » Technology » Software » Firefly Neuroscience Inc (NAS:AIFF) » Definitions » Net Margin %

Comparable Companies

Traded in Other Exchanges

N/A

Address

1100 Military Road, Kenmore, NY, USA, 14217

Website

https://fireflyneuro.com

Firefly Neuroscience Inc is an AI company developing neuroscientific solutions that improve outcomes for patients with mental illnesses and cognitive disorders. It is focused on the commercialization of its Brain Network Analytics (BNA) software platform (the "BNA Platform")and the discovery and clinical development of biomarkers that support outcomes for people suffering from mental illnesses and cognitive disorders.