Big Technologies (LSE:BIG) Days Inventory : 164.57 (As of Dec. 2023)

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What is Big Technologies Days Inventory?

Days Inventory is also known as Days Sales of Inventory (DSI). Big Technologies's Average Total Inventories for the six months ended in Dec. 2023 was £8.03 Mil. Big Technologies's Cost of Goods Sold for the six months ended in Dec. 2023 was £8.91 Mil. Hence, Big Technologies's Days Inventory for the six months ended in Dec. 2023 was 164.57.

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

LSE:BIG' s Days Inventory Range Over the Past 10 Years
Min: 82.16 Med: 131.13 Max: 204.79
Current: 172.13

During the past 5 years, Big Technologies's highest Days Inventory was 204.79. The lowest was 82.16. And the median was 131.13.

LSE:BIG's Days Inventory is ranked worse than
88.87% of 1563 companies
in the Software industry
Industry Median: 19.71 vs LSE:BIG: 172.13

Big Technologies's Days Inventory increased from Dec. 2022 (159.63) to Dec. 2023 (164.57). It might indicate that Big Technologies's sales slowed down.

Warning Sign:

If a company builds up inventory, it may mean it is having difficulties selling its goods.

Inventory Turnover measures how fast the company turns over its inventory within a year. Big Technologies's Inventory Turnover for the six months ended in Dec. 2023 was 1.11.

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. Big Technologies's Inventory-to-Revenue for the six months ended in Dec. 2023 was 0.29.

Big Technologies Days Inventory Historical Data

The historical data trend for Big Technologies'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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Big Technologies Days Inventory Chart

Big Technologies Annual Data

Trend

Dec19

Dec20

Dec21

Dec22

Dec23

Days Inventory

204.79

82.16

88.31

131.13

158.28

Big Technologies Semi-Annual Data
	Dec19	Jun20	Dec20	Jun21	Dec21	Jun22	Dec22	Jun23	Dec23
Days Inventory	Get a 7-Day Free Trial				85.20	124.94	159.63	196.80	164.57

Competitive Comparison of Big Technologies's Days Inventory

For the Software - Application subindustry, Big Technologies'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.

Big Technologies's Days Inventory Distribution in the Software Industry

For the Software industry and Technology sector, Big Technologies's Days Inventory distribution charts can be found below:

* The bar in red indicates where Big Technologies's Days Inventory falls into.

Big Technologies Days Inventory Calculation

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

Big Technologies'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
=	( (6.823	+	7.206)	/	2 )	/	16.176	*	365
=	7.0145					/	16.176	*	365
=	158.28

Big Technologies's Days Inventory for the quarter that ended in Dec. 2023 is calculated as:

	Days Inventory (Q: Dec. 2023 )
=	Average Total Inventories					/	Cost of Goods Sold	*	Days in Period
=	( (Total Inventories (Q: Jun. 2023 )	+	Total Inventories (Q: Dec. 2023 ))	/	count )	/	Cost of Goods Sold (Q: Dec. 2023 )	*	Days in Period
=	( (8.856	+	7.206)	/	2 )	/	8.906	*	365 / 2
=	8.031					/	8.906	*	365 / 2
=	164.57

Big Technologies (LSE:BIG) 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.

Big Technologies's Inventory Turnover for the six months ended in Dec. 2023 is calculated as

Inventory Turnover	=	Cost of Goods Sold	/	Average Total Inventories
	=	8.906	/	8.031
	=	1.11

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.

Big Technologies's Inventory to Revenue for the six months ended in Dec. 2023 is calculated as

Inventory-to-Revenue	=	Average Total Inventories	/	Revenue
	=	8.031	/	27.962
	=	0.29

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.

Big Technologies Days Inventory Related Terms

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

Big Technologies (LSE:BIG) Business Description

Industry

GURUFOCUS.COM » STOCK LIST » Technology » Software » Big Technologies PLC (LSE:BIG) » Definitions » Days Inventory

Comparable Companies

Traded in Other Exchanges

7I8:Germany

Address

17 Church Street, Talbot House, Rickmansworth, GBR, WD3 1DE

Website

https://www.bigtechnologies.co.uk

Big Technologies PLC provides products and services to the remote and personal monitoring industry under several brand and trading names. The company's criminal justice solution involves proprietary monitoring software combined with modular monitoring hardware being used to accurately track the location of tag wearers. Alongside this, it also offers monitoring services solutions for its customers. The company provides its solutions on a SaaS-like subscription-based model, with long-term contracts spanning up to twelve years in length, providing a secure revenue base from which to deliver contract expansion and to win new contracts. It generates revenue across the world, with operations across the United Kingdom, Australia, United States and Colombia.