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Dynamic Portfolio Management & Services (BOM:530779) Inventory Turnover : 0.08 (As of Mar. 2024)


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What is Dynamic Portfolio Management & Services 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. Dynamic Portfolio Management & Services's Cost of Goods Sold for the three months ended in Mar. 2024 was ₹0.68 Mil. Dynamic Portfolio Management & Services's Average Total Inventories for the quarter that ended in Mar. 2024 was ₹8.41 Mil. Dynamic Portfolio Management & Services's Inventory Turnover for the quarter that ended in Mar. 2024 was 0.08.

Days Inventory indicates the number of days of goods in sales that a company has in the inventory. Dynamic Portfolio Management & Services's Days Inventory for the three months ended in Mar. 2024 was 1,133.48.

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. Dynamic Portfolio Management & Services's Inventory-to-Revenue for the quarter that ended in Mar. 2024 was 10.60.


Dynamic Portfolio Management & Services Inventory Turnover Historical Data

The historical data trend for Dynamic Portfolio Management & Services'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.

Dynamic Portfolio Management & Services Inventory Turnover Chart

Dynamic Portfolio Management & Services Annual Data
Trend Mar15 Mar16 Mar17 Mar18 Mar19 Mar20 Mar21 Mar22 Mar23 Mar24
Inventory Turnover
Get a 7-Day Free Trial Premium Member Only Premium Member Only 0.59 0.51 0.27 0.54 0.49

Dynamic Portfolio Management & Services 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 0.29 0.24 0.14 0.03 0.08

Dynamic Portfolio Management & Services Inventory Turnover Calculation

Dynamic Portfolio Management & Services's Inventory Turnover for the fiscal year that ended in Mar. 2024 is calculated as

Inventory Turnover (A: Mar. 2024 )
=Cost of Goods Sold / Average Total Inventories
=Cost of Goods Sold (A: Mar. 2024 ) / ((Total Inventories (A: Mar. 2023 ) + Total Inventories (A: Mar. 2024 )) / count )
=4.152 / ((8.407 + 8.412) / 2 )
=4.152 / 8.4095
=0.49

Dynamic Portfolio Management & Services'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 )
=0.677 / ((8.407 + 8.412) / 2 )
=0.677 / 8.4095
=0.08

* 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.


Dynamic Portfolio Management & Services  (BOM:530779) 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.

Dynamic Portfolio Management & Services'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
=8.4095/0.677*365 / 4
=1,133.48

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.

Dynamic Portfolio Management & Services'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 )
=8.4095 / 0.793
=10.60

* 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.


Dynamic Portfolio Management & Services Inventory Turnover Related Terms

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Dynamic Portfolio Management & Services (BOM:530779) Business Description

Traded in Other Exchanges
N/A
Address
1403, Vikram Tower 16, Rajendra Place, New Delhi, IND, 110008
Dynamic Portfolio Management & Services Ltd is an India-based non-banking finance company. The company invests in the capital market and is involved in non-banking financial activities. It also provides loan syndication to high-net-worth clients. The firm generates the majority of its revenue from interest services.

Dynamic Portfolio Management & Services (BOM:530779) Headlines

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