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XtalPi Holdings (HKSE:02228) Days Inventory : 0.00 (As of Jun. 2024)


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What is XtalPi Holdings Days Inventory?

Days Inventory is also known as Days Sales of Inventory (DSI). XtalPi Holdings's Average Total Inventories for the six months ended in Jun. 2024 was HK$0.0 Mil. XtalPi Holdings's Cost of Goods Sold for the six months ended in Jun. 2024 was HK$59.7 Mil. Hence, XtalPi Holdings's Days Inventory for the six months ended in Jun. 2024 was 0.00.

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

HKSE:02228's Days Inventory is not ranked *
in the Healthcare Providers & Services industry.
Industry Median: 30.11
* Ranked among companies with meaningful Days Inventory only.

XtalPi Holdings's Days Inventory stayed the same from Jun. 2023 (0.00) to Jun. 2024 (0.00).

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

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. XtalPi Holdings's Inventory-to-Revenue for the six months ended in Jun. 2024 was 0.00.


XtalPi Holdings Days Inventory Historical Data

The historical data trend for XtalPi Holdings'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.

* Premium members only.

XtalPi Holdings Days Inventory Chart

XtalPi Holdings Annual Data
Trend Dec21 Dec22 Dec23
Days Inventory
- - -

XtalPi Holdings Semi-Annual Data
Dec21 Dec22 Jun23 Dec23 Jun24
Days Inventory - - - - -

Competitive Comparison of XtalPi Holdings's Days Inventory

For the Health Information Services subindustry, XtalPi Holdings'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.


XtalPi Holdings's Days Inventory Distribution in the Healthcare Providers & Services Industry

For the Healthcare Providers & Services industry and Healthcare sector, XtalPi Holdings's Days Inventory distribution charts can be found below:

* The bar in red indicates where XtalPi Holdings's Days Inventory falls into.



XtalPi Holdings Days Inventory Calculation

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

XtalPi Holdings'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 + 0) / 1 ) / 138.011*365
=0 / 138.011*365
=0.00

XtalPi Holdings's Days Inventory for the quarter that ended in Jun. 2024 is calculated as:

Days Inventory (Q: Jun. 2024 )
=Average Total Inventories / Cost of Goods Sold*Days in Period
=( (Total Inventories (Q: Dec. 2023 ) + Total Inventories (Q: Jun. 2024 )) / count ) / Cost of Goods Sold (Q: Jun. 2024 )*Days in Period
=( (0 + 0) / 1 ) / 59.725*365 / 2
=0 / 59.725*365 / 2
=0.00

* 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.


XtalPi Holdings  (HKSE:02228) 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.

XtalPi Holdings's Inventory Turnover for the six months ended in Jun. 2024 is calculated as

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.

XtalPi Holdings's Inventory to Revenue for the six months ended in Jun. 2024 is calculated as

* 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

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.


XtalPi Holdings Days Inventory Related Terms

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


XtalPi Holdings Business Description

Traded in Other Exchanges
N/A
Address
No. 2 Hongliu Road, 3th floor, Second Phase of the International, Biomedical Industrial Park, Futian District, Shenzhen, CHN
XtalPi Holdings Ltd is an research platform company powered by artificial intelligence (AI) and robotics. It is dedicated to driving intelligent and digital transformation in the life sciences and materials sciences sectors. The company combines quantum physics, AI, cloud computing, and large-scale robotics to provide research & development solutions, services, and products for pharmaceuticals, biotechnology, renewable energy, and advanced materials industries globally.
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