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Anhui Wanbang Pharmaceutical Technology Co (SZSE:301520) Inventory Turnover : 76.46 (As of Mar. 2024)


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What is Anhui Wanbang Pharmaceutical 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. Anhui Wanbang Pharmaceutical Technology Co's Cost of Goods Sold for the three months ended in Mar. 2024 was ¥47.8 Mil. Anhui Wanbang Pharmaceutical Technology Co's Average Total Inventories for the quarter that ended in Mar. 2024 was ¥0.6 Mil. Anhui Wanbang Pharmaceutical Technology Co's Inventory Turnover for the quarter that ended in Mar. 2024 was 76.46.

Days Inventory indicates the number of days of goods in sales that a company has in the inventory. Anhui Wanbang Pharmaceutical Technology Co's Days Inventory for the three months ended in Mar. 2024 was 1.19.

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. Anhui Wanbang Pharmaceutical Technology Co's Inventory-to-Revenue for the quarter that ended in Mar. 2024 was 0.01.


Anhui Wanbang Pharmaceutical Technology Co Inventory Turnover Historical Data

The historical data trend for Anhui Wanbang Pharmaceutical 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.

Anhui Wanbang Pharmaceutical Technology Co Inventory Turnover Chart

Anhui Wanbang Pharmaceutical Technology Co Annual Data
Trend Dec18 Dec19 Dec20 Dec21 Dec22 Dec23
Inventory Turnover
Get a 7-Day Free Trial 224.55 200.70 357.78 414.72 314.19

Anhui Wanbang Pharmaceutical Technology Co Quarterly Data
Dec18 Dec19 Dec20 Jun21 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 76.62 51.66 29.30 49.09 76.46

Anhui Wanbang Pharmaceutical Technology Co Inventory Turnover Calculation

Anhui Wanbang Pharmaceutical 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 )
=174.534 / ((0.444 + 0.667) / 2 )
=174.534 / 0.5555
=314.19

Anhui Wanbang Pharmaceutical 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 )
=47.825 / ((0.667 + 0.584) / 2 )
=47.825 / 0.6255
=76.46

* 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.


Anhui Wanbang Pharmaceutical Technology Co  (SZSE:301520) 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.

Anhui Wanbang Pharmaceutical 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
=0.6255/47.825*365 / 4
=1.19

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.

Anhui Wanbang Pharmaceutical 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 )
=0.6255 / 90.172
=0.01

* 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.


Anhui Wanbang Pharmaceutical Technology Co Inventory Turnover Related Terms

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Anhui Wanbang Pharmaceutical Technology Co (SZSE:301520) Business Description

Traded in Other Exchanges
N/A
Address
southwest corner of the intersection of Mingzhu Avenue and Huolongdi Road, Building 1, Anhui Wanbang Pharmaceutical, High-tech Zone, Anhui, Hefei, CHN, 230000
Anhui Wanbang Pharmaceutical Technology Co Ltd is a one-stop CRO service platform that engages in the entire process from pharmaceutical development to clinical research of innovative drugs, improved new drugs and generic drugs. It aims to provide drug research and development and clinical trials for drug launch, including pharmaceutical research, clinical services, biological sample analysis and testing, SMO services and data statistics and analysis.

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