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BAIC BluePark New Energy Technology Co (SHSE:600733) Inventory Turnover : 0.79 (As of Mar. 2024)


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What is BAIC BluePark New Energy Technology Co 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. BAIC BluePark New Energy Technology Co's Cost of Goods Sold for the three months ended in Mar. 2024 was ¥1,601 Mil. BAIC BluePark New Energy Technology Co's Average Total Inventories for the quarter that ended in Mar. 2024 was ¥2,038 Mil. BAIC BluePark New Energy Technology Co's Inventory Turnover for the quarter that ended in Mar. 2024 was 0.79.

Days Inventory indicates the number of days of goods in sales that a company has in the inventory. BAIC BluePark New Energy Technology Co's Days Inventory for the three months ended in Mar. 2024 was 116.20.

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. BAIC BluePark New Energy Technology Co's Inventory-to-Revenue for the quarter that ended in Mar. 2024 was 1.35.


BAIC BluePark New Energy Technology Co Inventory Turnover Historical Data

The historical data trend for BAIC BluePark New Energy Technology Co'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.

BAIC BluePark New Energy Technology Co Inventory Turnover Chart

BAIC BluePark New Energy Technology Co 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 6.69 1.38 3.24 4.60 6.35

BAIC BluePark New Energy Technology Co 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 0.89 1.24 1.49 2.55 0.79

BAIC BluePark New Energy Technology Co Inventory Turnover Calculation

BAIC BluePark New Energy Technology Co'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 )
=15138.188 / ((3109.645 + 1657.14) / 2 )
=15138.188 / 2383.3925
=6.35

BAIC BluePark New Energy Technology Co'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 )
=1600.513 / ((1657.14 + 2419.002) / 2 )
=1600.513 / 2038.071
=0.79

* 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.


BAIC BluePark New Energy Technology Co  (SHSE:600733) 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.

BAIC BluePark New Energy Technology Co'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
=2038.071/1600.513*365 / 4
=116.20

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.

BAIC BluePark New Energy Technology Co'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 )
=2038.071 / 1504.637
=1.35

* 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.


BAIC BluePark New Energy Technology Co Inventory Turnover Related Terms

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BAIC BluePark New Energy Technology Co (SHSE:600733) Business Description

Traded in Other Exchanges
N/A
Address
No. 5, Donghuan Middle Road, Building 12, Economic and Technological Development Zone, Beijing, CHN, 100176
BAIC BluePark New Energy Technology Co Ltd is a Chinese new energy vehicle company. It is engaged in building a new ecology and new pattern of the integration of automobile and energy, internet and artificial intelligence industry, and building a new energy vehicle technology innovation center. It owns global research and development centers in Beijing, Silicon Valley, Germany, Spain, and other areas covering electric drive assembly systems, internet, and intelligent, extended-range electric vehicle power systems.

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