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XIAO-I (XIAO-I) Change In Inventory : $0.00 Mil (TTM As of Dec. 2023)


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What is XIAO-I Change In Inventory?

XIAO-I's change in inventory for the quarter that ended in Dec. 2023 was $0.00 Mil. It means XIAO-I's inventory stayed the same from Jun. 2023 to Dec. 2023 .

XIAO-I's change in inventory for the fiscal year that ended in Dec. 2023 was $0.12 Mil. It means XIAO-I's inventory declined by $0.12 Mil from Dec. 2022 to Dec. 2023 .

XIAO-I's Total Inventories for the quarter that ended in Dec. 2023 was $0.07 Mil.

Days Inventory indicates the number of days of goods in sales that a company has in the inventory. XIAO-I's Days Inventory for the quarter that ended in Dec. 2023 was 5.11.

Inventory Turnover measures how fast the company turns over its inventory within a year. XIAO-I's Inventory Turnover for the quarter that ended in Dec. 2023 was 35.72.

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. XIAO-I's Inventory-to-Revenue for the quarter that ended in Dec. 2023 was 0.01.


XIAO-I Change In Inventory Historical Data

The historical data trend for XIAO-I's Change In 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.

XIAO-I Change In Inventory Chart

XIAO-I Annual Data
Trend Dec20 Dec21 Dec22 Dec23
Change In Inventory
0.26 -0.50 -2.13 0.12

XIAO-I Semi-Annual Data
Dec20 Jun21 Dec21 Jun22 Dec22 Jun23 Dec23
Change In Inventory Get a 7-Day Free Trial - - - - -

XIAO-I Change In Inventory Calculation

Change In Inventory is the difference between last period's ending inventory and the current period's ending inventory.

Change In Inventory for the trailing twelve months (TTM) ended in Dec. 2023 adds up the semi-annually data reported by the company within the most recent 12 months, which was $0.00 Mil.

* 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.


XIAO-I  (NAS:AIXI) Change In Inventory Explanation

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

XIAO-I's Days Inventory for the quarter that ended in is calculated as:

Days Inventory=Average Total Inventories/Cost of Goods Sold*Days in Period
=0.3845/13.736*365 / 2
=5.11

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

XIAO-I's Inventory Turnover for the quarter that ended in Dec. 2023 is calculated as

3. 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.

XIAO-I's Inventory to Revenue for the quarter that ended in Dec. 2023 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.


XIAO-I Change In Inventory Related Terms

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XIAO-I (XIAO-I) Business Description

Traded in Other Exchanges
N/A
Address
No. 1555, West Jinshajiang Road, 7th floor, Building 398, Shanghai, CHN, 201803
XIAO-I Corp is an AI industrialization company focusing on the AI Cognitive Intelligence platform. The platform combines six core technologies including Natural Language Processing, Speech Processing, Computer Vision, Machine Learning, Affective Computing, Data Intelligence, and Hyper- automation. Based on the platform, The company developed products and solutions in the fields of Al+ Contact Center, Al+ Finance, Al+ City Public Service, Al+ Architecture, Al+ Metaverse, Al+ Manufacturing, and Al+ Healthcare. It generates revenue from the sale of software products and services, M&S services, and the sale of cloud platform products.