Datrix SpA (MIL:DATA) Total Assets : €30.60 Mil (As of Jun. 2024)

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What is Datrix SpA Total Assets?

Datrix SpA's Total Assets for the quarter that ended in Jun. 2024 was €30.60 Mil.

During the past 12 months, Datrix SpA's average Total Assets Growth Rate was 5.20% per year. During the past 3 years, the average Total Assets Growth Rate was 37.00% per year.

During the past 5 years, Datrix SpA's highest 3-Year average Total Assets Growth Rate was 48.80%. The lowest was 37.00%. And the median was 42.90%.

Total Assets is connected with ROA %. Datrix SpA's annualized ROA % for the quarter that ended in Jun. 2024 was -9.03%. Total Assets is also linked to Revenue through Asset Turnover. Datrix SpA's Asset Turnover for the quarter that ended in Jun. 2024 was 0.26.

Datrix SpA Total Assets Historical Data

The historical data trend for Datrix SpA's Total Assets 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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Datrix SpA Total Assets Chart

Datrix SpA Annual Data

Trend

Dec19

Dec20

Dec21

Dec22

Dec23

Total Assets

8.57

11.63

34.71

33.00

34.81

Datrix SpA Semi-Annual Data
	Dec19	Jun20	Dec20	Jun21	Dec21	Jun22	Dec22	Jun23	Dec23	Jun24
Total Assets	Get a 7-Day Free Trial					35.06	33.00	31.05	34.81	30.60

Datrix SpA Total Assets Calculation

Total Assets are all the assets a company owns.

From the capital sources of the assets, some of the assets are funded through shareholder's paid in capital and retained earnings of the business. Others are funded through borrowed money.

Datrix SpA's Total Assets for the fiscal year that ended in Dec. 2023 is calculated as

Total Assets	=	Total Equity (A: Dec. 2023 )	+	Total Liabilities (A: Dec. 2023 )
	=	13.992	+	34.813
	=	48.81

Datrix SpA's Total Assets for the quarter that ended in Jun. 2024 is calculated as

Total Assets	=	Total Equity (Q: Jun. 2024 )	+	Total Liabilities (Q: Jun. 2024 )
	=	12.56	+	18.039
	=	30.60

Datrix SpA (MIL:DATA) Total Assets Explanation

Total Assets is connected with ROA %.

Datrix SpA's annualized ROA % for the quarter that ended in Jun. 2024 is

ROA %	=	Net Income (Q: Jun. 2024 )	/	( (Total Assets (Q: Dec. 2023 )	+	Total Assets (Q: Jun. 2024 ))	/ count )
	=	-2.952	/	( (34.813	+	30.599)	/ 2 )
	=	-2.952	/	32.706
	=	-9.03 %

Note: The Net Income data used here is two times the semi-annual (Jun. 2024) data.

In the article Joining The Dark Side: Pirates, Spies and Short Sellers, James Montier reported that In their US sample covering the period 1968-2003, Cooper et al find that firms with low asset growth outperformed firms with high asset growth by an astounding 20% p.a. equally weighted. Even when controlling for market, size and style, low asset growth firms outperformed high asset growth firms by 13% p.a. Therefore a company with fast asset growth may underperform.

Total Assets is linked to total revenue through Asset Turnover.

Datrix SpA's Asset Turnover for the quarter that ended in Jun. 2024 is

	Asset Turnover
=	Revenue (Q: Jun. 2024 )	/	( (Total Assets (Q: Dec. 2023 )	+	Total Assets (Q: Jun. 2024 ))	/ count )
=	8.441	/	( (34.813	+	30.599)	/ 2 )
=	8.441	/	32.706
=	0.26

Therefore, if a company grows its Total Assets faster than its Revenue, the Asset Turnover will decline. This might be a warning sign for the business.

Datrix SpA Total Assets Related Terms

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Datrix SpA Business Description

Industry

GURUFOCUS.COM » STOCK LIST » Technology » Software » Datrix SpA (MIL:DATA) » Definitions » Total Assets

Comparable Companies

Traded in Other Exchanges

N/A

Address

Foro Buonaparte 71, Milan, ITA, 20121

Website

https://www.datrixgroup.com

Datrix SpA is engaged in providing artificial intelligence-based solutions to grow the company's business. It offers various solutions including AI for FinTech, AI for Data Monetization, AI for Marketing & Sales, and Machine Learning Model Serving.