Predictive Oncology (Predictive Oncology) Days Inventory : 227.15 (As of Mar. 2024)

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What is Predictive Oncology Days Inventory?

Days Inventory is also known as Days Sales of Inventory (DSI). Predictive Oncology's Average Total Inventories for the three months ended in Mar. 2024 was $0.47 Mil. Predictive Oncology's Cost of Goods Sold for the three months ended in Mar. 2024 was $0.19 Mil. Hence, Predictive Oncology's Days Inventory for the three months ended in Mar. 2024 was 227.15.

The historical rank and industry rank for Predictive Oncology's Days Inventory or its related term are showing as below:

POAI' s Days Inventory Range Over the Past 10 Years
Min: 147.85 Med: 259.82 Max: 662.18
Current: 223.26

During the past 13 years, Predictive Oncology's highest Days Inventory was 662.18. The lowest was 147.85. And the median was 259.82.

POAI's Days Inventory is ranked worse than
58.74% of 778 companies
in the Medical Devices & Instruments industry
Industry Median: 193.045 vs POAI: 223.26

Predictive Oncology's Days Inventory declined from Mar. 2023 (307.97) to Mar. 2024 (227.15).

Inventory Turnover measures how fast the company turns over its inventory within a year. Predictive Oncology's Inventory Turnover for the three months ended in Mar. 2024 was 0.40.

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 three months ended in Mar. 2024 was 1.11.

Predictive Oncology Days Inventory Historical Data

The historical data trend for Predictive Oncology's Days Inventory 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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Predictive Oncology Days Inventory Chart

Predictive Oncology Annual Data

Trend

Dec14

Dec15

Dec16

Dec17

Dec18

Dec19

Dec20

Dec21

Dec22

Dec23

Days Inventory

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147.85

195.97

254.08

295.61

265.56

Predictive Oncology Quarterly Data
	Jun19	Sep19	Dec19	Mar20	Jun20	Sep20	Dec20	Mar21	Jun21	Sep21	Dec21	Mar22	Jun22	Sep22	Dec22	Mar23	Jun23	Sep23	Dec23	Mar24
Days Inventory	Get a 7-Day Free Trial															307.97	220.71	355.62	171.83	227.15

Competitive Comparison of Predictive Oncology's Days Inventory

For the Medical Instruments & Supplies subindustry, Predictive Oncology's Days Inventory, along with its competitors' market caps and Days Inventory 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.

Predictive Oncology's Days Inventory Distribution in the Medical Devices & Instruments Industry

For the Medical Devices & Instruments industry and Healthcare sector, Predictive Oncology's Days Inventory distribution charts can be found below:

* The bar in red indicates where Predictive Oncology's Days Inventory falls into.

Predictive Oncology Days Inventory Calculation

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 fiscal year that ended in Dec. 2023 is calculated as

	Days Inventory (A: Dec. 2023 )
=	Average Total Inventories					/	Cost of Goods Sold	*	Days in Period
=	( (Total Inventories (A: Dec. 2022 )	+	Total Inventories (A: Dec. 2023 ))	/	count )	/	Cost of Goods Sold (A: Dec. 2023 )	*	Days in Period
=	( (0.43	+	0.494)	/	2 )	/	0.635	*	365
=	0.462					/	0.635	*	365
=	265.56

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

	Days Inventory (Q: Mar. 2024 )
=	Average Total Inventories					/	Cost of Goods Sold	*	Days in Period
=	( (Total Inventories (Q: Dec. 2023 )	+	Total Inventories (Q: Mar. 2024 ))	/	count )	/	Cost of Goods Sold (Q: Mar. 2024 )	*	Days in Period
=	( (0.494	+	0.442)	/	2 )	/	0.188	*	365 / 4
=	0.468					/	0.188	*	365 / 4
=	227.15

Predictive Oncology (NAS:POAI) Days Inventory Explanation

Days Inventory indicates the liquidity of the inventory. Generally, a lower Days Inventory is preferred as it indicates a shorter duration to clear off the inventory. An increase of the ratio may indicate the company's sales slowed. Similar ratios related to Days Inventory are:

1. Inventory Turnover measures how fast the company turns over its inventory within a year.

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

Inventory Turnover	=	Cost of Goods Sold	/	Average Total Inventories
	=	0.188	/	0.468
	=	0.40

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 three months ended in Mar. 2024 is calculated as

Inventory-to-Revenue	=	Average Total Inventories	/	Revenue
	=	0.468	/	0.42
	=	1.11

Be Aware

A lot of business are seasonable. It makes more sense to compare Days Inventory from the same period in the previous year instead of from the previous quarter.

Predictive Oncology Days Inventory Related Terms

Thank you for viewing the detailed overview of Predictive Oncology's Days Inventory provided by GuruFocus.com. Please click on the following links to see related term pages.

Predictive Oncology (Predictive Oncology) Business Description

Industry

GURUFOCUS.COM » STOCK LIST » Healthcare » Medical Devices & Instruments » Predictive Oncology Inc (NAS:POAI) » Definitions » Days Inventory

Comparable Companies

Traded in Other Exchanges

N/A

Address

2915 Commers Drive, Suite 900, Eagan, MN, USA, 55121

Website

https://www.predictive-oncology.com

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