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Biomind Labs (NEOE:BMND) Receivables Turnover : 0.00 (As of Sep. 2023)


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What is Biomind Labs Receivables Turnover?

The Receivables Turnover ratio measures the number of times a company collects its average accounts receivable balance. It is calculated as Revenue divided by average Accounts Receivable. An efficient company has a higher accounts receivable turnover ratio while an inefficient company has a lower ratio. Biomind Labs's Revenue for the three months ended in Sep. 2023 was C$0.00 Mil. Biomind Labs's average Accounts Receivable for the three months ended in Sep. 2023 was C$0.00 Mil.


Biomind Labs Receivables Turnover Historical Data

The historical data trend for Biomind Labs's Receivables Turnover 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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Biomind Labs Receivables Turnover Chart

Biomind Labs Annual Data
Trend Dec21 Dec22
Receivables Turnover
- -

Biomind Labs Quarterly Data
Mar21 Jun21 Sep21 Dec21 Mar22 Jun22 Sep22 Dec22 Mar23 Jun23 Sep23
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Competitive Comparison of Biomind Labs's Receivables Turnover

For the Biotechnology subindustry, Biomind Labs's Receivables Turnover, along with its competitors' market caps and Receivables Turnover 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.


Biomind Labs's Receivables Turnover Distribution in the Biotechnology Industry

For the Biotechnology industry and Healthcare sector, Biomind Labs's Receivables Turnover distribution charts can be found below:

* The bar in red indicates where Biomind Labs's Receivables Turnover falls into.



Biomind Labs Receivables Turnover Calculation

Receivables Turnover measures the number of times a company collects its average accounts receivable balance.

Biomind Labs's Receivables Turnover for the fiscal year that ended in Dec. 2022 is calculated as

Receivables Turnover (A: Dec. 2022 )
=Revenue / Average Total Inventories
=Revenue (A: Dec. 2022 ) / ((Accounts Receivable (A: Dec. 2021 ) + Accounts Receivable (A: Dec. 2022 )) / count )
=0 / ((0 + 0) / 1 )
=0 / 0
=N/A

Biomind Labs's Receivables Turnover for the quarter that ended in Sep. 2023 is calculated as

Receivables Turnover (Q: Sep. 2023 )
=Revenue / Average Total Inventories
=Revenue (Q: Sep. 2023 ) / ((Accounts Receivable (Q: Jun. 2023 ) + Accounts Receivable (Q: Sep. 2023 )) / count )
=0 / ((0 + 0) / 1 )
=0 / 0
=N/A

* 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.


Biomind Labs  (NEOE:BMND) Receivables Turnover Explanation

An efficient company has a higher accounts receivable turnover ratio while an inefficient company has a lower ratio. This metric is commonly used to compare companies within the same industry to check whether they are on par with their competitors.


Biomind Labs Receivables Turnover Related Terms

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Biomind Labs (NEOE:BMND) Business Description

Traded in Other Exchanges
Address
Camino Saravia s/n, Pando Science and Technology Park, Pando Canelones, Canelones, URY, CP 91.000
Biomind Labs Inc is a biotech Research and Development company aimed at transforming biomedical sciences knowledge from natural psychotropic plants into novel pharmaceutical drugs and nanotech delivery systems for a variety of psychiatric and neurological conditions. Biomind is developing pharmaceutical sole and combined formulations of the main natural psychedelic molecules with the aim of identifying novel pharmaceutical compounds for treating a wide range of therapeutic indications.

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