Aiforia Technologies (OHEL:AIFORIA) FCF Margin % : -427.81% (As of Dec. 2023)

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What is Aiforia Technologies FCF Margin %?

FCF Margin % is calculated as Free Cash Flow divided by its Revenue. Aiforia Technologies's Free Cash Flow for the six months ended in Dec. 2023 was €-6.32 Mil. Aiforia Technologies's Revenue for the six months ended in Dec. 2023 was €1.48 Mil. Therefore, Aiforia Technologies's FCF Margin % for the quarter that ended in Dec. 2023 was -427.81%.

As of today, Aiforia Technologies's current FCF Yield % is -13.60%.

The historical rank and industry rank for Aiforia Technologies's FCF Margin % or its related term are showing as below:

OHEL:AIFORIA' s FCF Margin % Range Over the Past 10 Years
Min: -948.75 Med: -563.16 Max: -390.45
Current: -589.91

During the past 6 years, the highest FCF Margin % of Aiforia Technologies was -390.45%. The lowest was -948.75%. And the median was -563.16%.

OHEL:AIFORIA's FCF Margin % is ranked worse than
96.55% of 666 companies
in the Healthcare Providers & Services industry
Industry Median: 1.415 vs OHEL:AIFORIA: -589.91

Aiforia Technologies FCF Margin % Historical Data

The historical data trend for Aiforia Technologies's FCF 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.

* Premium members only.

Aiforia Technologies FCF Margin % Chart

Aiforia Technologies Annual Data

Trend

Dec18

Dec19

Dec20

Dec21

Dec22

Dec23

FCF Margin %

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-390.45

-433.69

-640.97

-948.75

-589.91

Aiforia Technologies Semi-Annual Data
	Dec18	Dec19	Jun20	Dec20	Jun21	Dec21	Jun22	Dec22	Jun23	Dec23
FCF Margin %	Get a 7-Day Free Trial					-605.66	-1,061.66	-853.95	-850.33	-427.81

Competitive Comparison of Aiforia Technologies's FCF Margin %

For the Health Information Services subindustry, Aiforia Technologies's FCF Margin %, along with its competitors' market caps and FCF 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.

Aiforia Technologies's FCF Margin % Distribution in the Healthcare Providers & Services Industry

For the Healthcare Providers & Services industry and Healthcare sector, Aiforia Technologies's FCF Margin % distribution charts can be found below:

* The bar in red indicates where Aiforia Technologies's FCF Margin % falls into.

Aiforia Technologies FCF Margin % Calculation

FCF margin is the ratio of Free Cash Flow divided by net sales or Revenue, usually presented in percent.

Aiforia Technologies's FCF Margin for the fiscal year that ended in Dec. 2023 is calculated as

FCF Margin	=	Free Cash Flow (A: Dec. 2023 )	/	Revenue (A: Dec. 2023 )
	=	-14.146	/	2.398
	=	-589.91 %

Aiforia Technologies's FCF Margin for the quarter that ended in Dec. 2023 is calculated as

FCF Margin	=	Free Cash Flow (Q: Dec. 2023 )	/	Revenue (Q: Dec. 2023 )
	=	-6.323	/	1.478
	=	-427.81 %

Aiforia Technologies FCF Margin % Related Terms

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Aiforia Technologies (OHEL:AIFORIA) Business Description

Industry

GURUFOCUS.COM » STOCK LIST » Healthcare » Healthcare Providers & Services » Aiforia Technologies PLC (OHEL:AIFORIA) » Definitions » FCF Margin %

Comparable Companies

Traded in Other Exchanges

L6J:Germany

Address

Pursimiehenkatu 29-31 D, Helsinki, FIN, FI-00150

Website

https://www.aiforia.com

Aiforia Technologies PLC equips pathologists and scientists in preclinical and clinical labs with powerful deep learning artificial intelligence software for translating images into discoveries, decisions, and diagnoses. The cloud based Aiforia products and services aim to escalate the efficiency and precision of medical image analysis beyond current capabilities, across a variety of fields from oncology to neuroscience and more.

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