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Matriks Bilgi Dagitim Hizmetleri AS (IST:MTRKS) Inventory Turnover : 762.63 (As of Mar. 2025)


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What is Matriks Bilgi Dagitim Hizmetleri AS 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. Matriks Bilgi Dagitim Hizmetleri AS's Cost of Goods Sold for the three months ended in Mar. 2025 was ₺196.4 Mil. Matriks Bilgi Dagitim Hizmetleri AS's Average Total Inventories for the quarter that ended in Mar. 2025 was ₺0.3 Mil. Matriks Bilgi Dagitim Hizmetleri AS's Inventory Turnover for the quarter that ended in Mar. 2025 was 762.63.

Days Inventory indicates the number of days of goods in sales that a company has in the inventory. Matriks Bilgi Dagitim Hizmetleri AS's Days Inventory for the three months ended in Mar. 2025 was 0.12.

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. Matriks Bilgi Dagitim Hizmetleri AS's Inventory-to-Revenue for the quarter that ended in Mar. 2025 was 0.00.


Matriks Bilgi Dagitim Hizmetleri AS Inventory Turnover Historical Data

The historical data trend for Matriks Bilgi Dagitim Hizmetleri AS'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.

Matriks Bilgi Dagitim Hizmetleri AS Inventory Turnover Chart

Matriks Bilgi Dagitim Hizmetleri AS Annual Data
Trend Dec17 Dec18 Dec19 Dec20 Dec21 Dec22 Dec23 Dec24
Inventory Turnover
Get a 7-Day Free Trial - - - - 2,320.76

Matriks Bilgi Dagitim Hizmetleri AS Quarterly Data
Jun20 Sep20 Dec20 Mar21 Jun21 Sep21 Dec21 Mar22 Jun22 Sep22 Dec22 Mar23 Jun23 Sep23 Dec23 Mar24 Jun24 Sep24 Dec24 Mar25
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 - - 20,873.14 1,066.14 762.63

Matriks Bilgi Dagitim Hizmetleri AS Inventory Turnover Calculation

Matriks Bilgi Dagitim Hizmetleri AS's Inventory Turnover for the fiscal year that ended in Dec. 2024 is calculated as

Inventory Turnover (A: Dec. 2024 )
=Cost of Goods Sold / Average Total Inventories
=Cost of Goods Sold (A: Dec. 2024 ) / ((Total Inventories (A: Dec. 2023 ) + Total Inventories (A: Dec. 2024 )) / count )
=624.284 / ((0 + 0.269) / 1 )
=624.284 / 0.269
=2,320.76

Matriks Bilgi Dagitim Hizmetleri AS's Inventory Turnover for the quarter that ended in Mar. 2025 is calculated as

Inventory Turnover (Q: Mar. 2025 )
=Cost of Goods Sold / Average Total Inventories
=Cost of Goods Sold (Q: Mar. 2025 ) / ((Total Inventories (Q: Dec. 2024 ) + Total Inventories (Q: Mar. 2025 )) / count )
=196.376 / ((0.269 + 0.246) / 2 )
=196.376 / 0.2575
=762.63

* 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.


Matriks Bilgi Dagitim Hizmetleri AS  (IST:MTRKS) 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.

Matriks Bilgi Dagitim Hizmetleri AS's Days Inventory for the three months ended in Mar. 2025 is calculated as:

Days Inventory =Average Total Inventories (Q: Mar. 2025 )/Cost of Goods Sold (Q: Mar. 2025 )*Days in Period
=0.2575/196.376*365 / 4
=0.12

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.

Matriks Bilgi Dagitim Hizmetleri AS's Inventory to Revenue for the quarter that ended in Mar. 2025 is calculated as

Inventory-to-Revenue=Average Total Inventories (Q: Mar. 2025 ) / Revenue (Q: Mar. 2025 )
=0.2575 / 262.124
=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.


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.


Matriks Bilgi Dagitim Hizmetleri AS Inventory Turnover Related Terms

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Matriks Bilgi Dagitim Hizmetleri AS Business Description

Traded in Other Exchanges
N/A
Address
Izzetpasa Mahallesi, Yeni Yol Cad. No 3, Nurol Tower, Kat: 18 D: 125 Office 1808, Istanbul, TUR, 34381
Matriks Bilgi Dagitim Hizmetleri AS is a software house that offers financial solutions and a fintech company that offers end-to-end solutions. Its basic products and services include presenting the data of domestic and foreign financial markets in real-time with analysis and transaction opportunities, presentation of news, statements, and reports concerning the markets, trading platforms, order and risk management systems, mobile apps, intelligent data solutions, commodity trading and data tools, artificial intelligence supported analysis and trading platforms for Energy Markets, HFT, and Algorithmic Trading platforms.

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