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Predictive Oncology (Predictive Oncology) Inventory Turnover : 0.40 (As of Mar. 2024)


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What is Predictive Oncology Inventory Turnover?

Inventory Turnover measures how fast the company turns over its inventory within a year. It is calculated as Cost of Goods Sold divided by Total Inventories. Predictive Oncology's Cost of Goods Sold for the three months ended in Mar. 2024 was $0.19 Mil. Predictive Oncology's Average Total Inventories for the quarter that ended in Mar. 2024 was $0.47 Mil. Predictive Oncology's Inventory Turnover for the quarter that ended in Mar. 2024 was 0.40.

Days Inventory indicates the number of days of goods in sales that a company has in the inventory. Predictive Oncology's Days Inventory for the three months ended in Mar. 2024 was 227.15.

Inventory-to-Revenue determines the ability of a company to manage their inventory levels. It measures the percentage of Inventories the company currently has on hand to support the current amount of Revenue. Predictive Oncology's Inventory-to-Revenue for the quarter that ended in Mar. 2024 was 1.11.


Predictive Oncology Inventory Turnover Historical Data

The historical data trend for Predictive Oncology's Inventory 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.

* Premium members only.

Predictive Oncology Inventory Turnover Chart

Predictive Oncology Annual Data
Trend Dec14 Dec15 Dec16 Dec17 Dec18 Dec19 Dec20 Dec21 Dec22 Dec23
Inventory Turnover
Get a 7-Day Free Trial Premium Member Only Premium Member Only 2.47 1.86 1.44 1.23 1.37

Predictive Oncology Quarterly Data
Jun19 Sep19 Dec19 Mar20 Jun20 Sep20 Dec20 Mar21 Jun21 Sep21 Dec21 Mar22 Jun22 Sep22 Dec22 Mar23 Jun23 Sep23 Dec23 Mar24
Inventory Turnover Get a 7-Day Free Trial Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only 0.30 0.41 0.26 0.53 0.40

Predictive Oncology Inventory Turnover Calculation

Predictive Oncology's Inventory Turnover for the fiscal year that ended in Dec. 2023 is calculated as

Inventory Turnover (A: Dec. 2023 )
=Cost of Goods Sold / Average Total Inventories
=Cost of Goods Sold (A: Dec. 2023 ) / ((Total Inventories (A: Dec. 2022 ) + Total Inventories (A: Dec. 2023 )) / count )
=0.635 / ((0.43 + 0.494) / 2 )
=0.635 / 0.462
=1.37

Predictive Oncology's Inventory Turnover for the quarter that ended in Mar. 2024 is calculated as

Inventory Turnover (Q: Mar. 2024 )
=Cost of Goods Sold / Average Total Inventories
=Cost of Goods Sold (Q: Mar. 2024 ) / ((Total Inventories (Q: Dec. 2023 ) + Total Inventories (Q: Mar. 2024 )) / count )
=0.188 / ((0.494 + 0.442) / 2 )
=0.188 / 0.468
=0.40

* 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.


Predictive Oncology  (NAS:POAI) Inventory Turnover Explanation

Inventory Turnover measures how fast the company turns over its inventory within a year. A higher Inventory Turnover means the company has light inventory. Therefore the company spends less money on storage, write downs, and obsolete inventory. If the inventory is too light, it may affect sales because the company may not have enough to meet demand.

1. Days Inventory indicates the number of days of goods in sales that a company has in the inventory.

Predictive Oncology's Days Inventory for the three months ended in Mar. 2024 is calculated as:

Days Inventory =Average Total Inventories (Q: Mar. 2024 )/Cost of Goods Sold (Q: Mar. 2024 )*Days in Period
=0.468/0.188*365 / 4
=227.15

2. Inventory-to-Revenue determines the ability of a company to manage their inventory levels. It measures the percentage of Inventories the company currently has on hand to support the current amount of Revenue.

Predictive Oncology's Inventory to Revenue for the quarter that ended in Mar. 2024 is calculated as

Inventory-to-Revenue=Average Total Inventories (Q: Mar. 2024 ) / Revenue (Q: Mar. 2024 )
=0.468 / 0.42
=1.11

* 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.


Be Aware

Usually retailers pile up their inventories at holiday seasons to meet the stronger demand. Therefore, the inventory of a particular quarter of a year should not be used to calculate Inventory Turnover. An average inventory is a better indication.


Predictive Oncology Inventory Turnover Related Terms

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Predictive Oncology (Predictive Oncology) Business Description

Traded in Other Exchanges
N/A
Address
2915 Commers Drive, Suite 900, Eagan, MN, USA, 55121
Predictive Oncology Inc functions in the healthcare domain. The firm's reportable segments are Helomics, zPREDICTA, Soluble and Skyline. It derives prime revenue from the Skyline segment which consists of the STREAMWAY System product sales, and TumorGenesis subsidiary (Research and Development) is included within corporate. The STREAMWAY System virtually eliminates staff exposure to blood, irrigation fluid, and other potentially infectious fluids found in the healthcare environment. Its Helomics division is focused on improving the effectiveness of cancer therapy using proprietary, multi-omic tumor profiling platform, a one-of-a-kind database of historical tumor data, and the power of AI to build predictive models of tumor drug response.
Executives
Robert L Myers officer: CHIEF FINANCIAL OFFICER 4765 BEACON HILL ROAD, EAGAN MN 55122
Nuzum Charles Lee Sr director 633 1ST STREET WEST, SONOMA CA 95476
Veena Rao director 2915 COMMERS DRIVE, SUITE 900, EAGAN MN 55121
Matthew Hawryluk director C/O GRITSTONE ONCOLOGY, INC., 5858 HORTON STREET, SUITE 210, EMERYVILLE CA 94608
St. Clair Gregory Sr director 1645 WHITLEY DRIVE, HARRISBURG PA 17111
Nancy Chung-welch director P O BOX 1572, PEPPERELL MA 01463
Pamela Bush officer: Chief Business Officer 2915 COMMERS DRIVE, SUITE 900, EAGAN MN 55121
Daniel E Handley director 1142 S. DIAMOND BAR BLVD. #464, DIAMOND BAR CA 91765
Raymond F Vennare director 2915 COMMERS DRIVE, SUITE 900, EAGAN MN 55121
David Stewart Smith director 151 WASHINGTON STREET, PITTSBURGH PA 15218
J Melville Engle director 1 REMINGTON COURT, NAPA CA 94558
Jenkins Christina Lee Md director 2915 COMMERS DRIVE, SUITE 900, EAGAN MN 55121
Carl I. Schwartz 10 percent owner 20155 N.E. 38TH COURT, UNIT 3104, AVENTURA FL 33180
Richard L Gabriel director 900 COCOANUT AVENUE, SARASOTA FL 34236
Pamela S Prior director 2915 COMMERS DRIVE, SUITE 900, EAGAN MN 55121