P2P Group (FRA:3QG) Gross-Profit-to-Asset % : 0.00% (As of Jun. 2024)

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What is P2P Group Gross-Profit-to-Asset %?

Gross-Profit-to-Asset % is calculated as Gross Profit divided by its average Total Assets over a certain period of time. P2P Group's annualized Gross Profit for the quarter that ended in Jun. 2024 was €0.00 Mil. P2P Group's average Total Assets over the quarter that ended in Jun. 2024 was €0.24 Mil. Therefore, P2P Group's annualized Gross-Profit-to-Asset % for the quarter that ended in Jun. 2024 was 0.00%.

P2P Group Gross-Profit-to-Asset % Historical Data

The historical data trend for P2P Group's Gross-Profit-to-Asset % 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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P2P Group Gross-Profit-to-Asset % Chart

P2P Group Annual Data

Trend

Sep21

Sep22

Sep23

Gross-Profit-to-Asset %

3.29

P2P Group Quarterly Data
	Sep21	Dec21	Mar22	Jun22	Sep22	Dec22	Mar23	Jun23	Sep23	Dec23	Mar24	Jun24
Gross-Profit-to-Asset %	Get a 7-Day Free Trial							-	-	-	-	-

Competitive Comparison of P2P Group's Gross-Profit-to-Asset %

For the Household & Personal Products subindustry, P2P Group's Gross-Profit-to-Asset %, along with its competitors' market caps and Gross-Profit-to-Asset % 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.

P2P Group's Gross-Profit-to-Asset % Distribution in the Consumer Packaged Goods Industry

For the Consumer Packaged Goods industry and Consumer Defensive sector, P2P Group's Gross-Profit-to-Asset % distribution charts can be found below:

* The bar in red indicates where P2P Group's Gross-Profit-to-Asset % falls into.

P2P Group Gross-Profit-to-Asset % Calculation

P2P Group's annualized Gross-Profit-to-Asset % for the fiscal year that ended in Sep. 2023 is calculated as:

Gross-Profit-to-Asset %	=	Gross Profit (A: Sep. 2023 )	/	( (Total Assets (A: Sep. 2022 )	+	Total Assets (A: Sep. 2023 ))	/ count )
	=	0	/	( (0.28	+	0.154)	/ 2 )
	=	0	/	0.217
	=	0.00 %

P2P Group's annualized Gross-Profit-to-Asset % for the quarter that ended in Jun. 2024 is calculated as:

Gross-Profit-to-Asset %	=	Gross Profit (Q: Jun. 2024 )	/	( (Total Assets (Q: Mar. 2024 )	+	Total Assets (Q: Jun. 2024 ))	/ count )
	=	0	/	( (0.07	+	0.403)	/ 2 )
	=	0	/	0.2365
	=	0.00 %

In the calculation of annual Gross-Profit-to-Asset %, the Gross Profit of the last fiscal year and the average total assets over the fiscal year are used. In calculating the quarterly data, the Gross Profit data used here is four times the quarterly (Jun. 2024) data. Gross-Profit-to-Asset % is displayed in the 30-year financial page.

P2P Group Gross-Profit-to-Asset % Related Terms

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P2P Group Business Description

Industry

GURUFOCUS.COM » STOCK LIST » Consumer Defensive » Consumer Packaged Goods » P2P Group Ltd (FRA:3QG) » Definitions » Gross-Profit-to-Asset %

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Traded in Other Exchanges

PPB:Canada

Address

1231 Pacific Boulevard, Suite 650, Vancouver, BC, CAN, V6Z 0E2

Website

https://www.p2pbeauty.com

P2P Group Ltd is engaged in advancing intelligent environments with cutting-edge AI technologies. Its Product Inturai is dedicated to transforming environments across industries through AI-driven monitoring solutions. With proprietary spatial intelligence technology, Inturai creates smarter, safer, and more responsive spaces for sectors including healthcare, industrial automation, and defense. Leveraging cutting-edge AI and self-calibrating Wi-Fi mesh networks, Inturai is charge in the next generation of environment monitoring, seamlessly integrating real-time insights without reliance on traditional hardware sensors.

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