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Exasol AG (FRA:EXL) Days Inventory : 17.62 (As of Jun. 2023)


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What is Exasol AG Days Inventory?

Days Inventory is also known as Days Sales of Inventory (DSI). Exasol AG's Average Total Inventories for the six months ended in Jun. 2023 was €0.16 Mil. Exasol AG's Cost of Goods Sold for the six months ended in Jun. 2023 was €1.65 Mil. Hence, Exasol AG's Days Inventory for the six months ended in Jun. 2023 was 17.62.

The historical rank and industry rank for Exasol AG's Days Inventory or its related term are showing as below:

FRA:EXL' s Days Inventory Range Over the Past 10 Years
Min: 5.53   Med: 17.44   Max: 31.14
Current: 14.8

During the past 7 years, Exasol AG's highest Days Inventory was 31.14. The lowest was 5.53. And the median was 17.44.

FRA:EXL's Days Inventory is ranked better than
54.58% of 1561 companies
in the Software industry
Industry Median: 19.5 vs FRA:EXL: 14.80

Exasol AG's Days Inventory increased from Jun. 2022 (9.90) to Jun. 2023 (17.62). It might indicate that Exasol AG's sales slowed down.

Inventory Turnover measures how fast the company turns over its inventory within a year. Exasol AG's Inventory Turnover for the six months ended in Jun. 2023 was 10.36.

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. Exasol AG's Inventory-to-Revenue for the six months ended in Jun. 2023 was 0.01.


Exasol AG Days Inventory Historical Data

The historical data trend for Exasol AG's Days 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.

Exasol AG Days Inventory Chart

Exasol AG Annual Data
Trend Dec16 Dec17 Dec18 Dec19 Dec20 Dec21 Dec22
Days Inventory
Get a 7-Day Free Trial - - 5.53 7.62 27.25

Exasol AG Semi-Annual Data
Dec16 Dec17 Dec18 Jun19 Dec19 Jun20 Dec20 Jun21 Dec21 Jun22 Dec22 Jun23
Days Inventory Get a 7-Day Free Trial Premium Member Only Premium Member Only Premium Member Only Premium Member Only 66.16 164.03 9.90 19.09 17.62

Competitive Comparison of Exasol AG's Days Inventory

For the Software - Infrastructure subindustry, Exasol AG's Days Inventory, along with its competitors' market caps and Days Inventory data, can be viewed below:

* Competitive companies are chosen from companies within the same industry, with headquarter located in same country, with closest market capitalization; x-axis shows the market cap, and y-axis shows the term value; the bigger the dot, the larger the market cap. Note that "N/A" values will not show up in the chart.


Exasol AG's Days Inventory Distribution in the Software Industry

For the Software industry and Technology sector, Exasol AG's Days Inventory distribution charts can be found below:

* The bar in red indicates where Exasol AG's Days Inventory falls into.



Exasol AG Days Inventory Calculation

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

Exasol AG's Days Inventory for the fiscal year that ended in Dec. 2022 is calculated as

Days Inventory (A: Dec. 2022 )
=Average Total Inventories / Cost of Goods Sold*Days in Period
=( (Total Inventories (A: Dec. 2021 ) + Total Inventories (A: Dec. 2022 )) / count ) / Cost of Goods Sold (A: Dec. 2022 )*Days in Period
=( (0 + 0.159) / 1 ) / 2.13*365
=0.159 / 2.13*365
=27.25

Exasol AG's Days Inventory for the quarter that ended in Jun. 2023 is calculated as:

Days Inventory (Q: Jun. 2023 )
=Average Total Inventories / Cost of Goods Sold*Days in Period
=( (Total Inventories (Q: Dec. 2022 ) + Total Inventories (Q: Jun. 2023 )) / count ) / Cost of Goods Sold (Q: Jun. 2023 )*Days in Period
=( (0.159 + 0) / 1 ) / 1.647*365 / 2
=0.159 / 1.647*365 / 2
=17.62

* 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.


Exasol AG  (FRA:EXL) Days Inventory Explanation

Days Inventory indicates the liquidity of the inventory. Generally, a lower Days Inventory is preferred as it indicates a shorter duration to clear off the inventory. An increase of the ratio may indicate the company's sales slowed. Similar ratios related to Days Inventory are:

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

Exasol AG's Inventory Turnover for the six months ended in Jun. 2023 is calculated as

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.

Exasol AG's Inventory to Revenue for the six months ended in Jun. 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.


Be Aware

A lot of business are seasonable. It makes more sense to compare Days Inventory from the same period in the previous year instead of from the previous quarter.


Exasol AG Days Inventory Related Terms

Thank you for viewing the detailed overview of Exasol AG's Days Inventory provided by GuruFocus.com. Please click on the following links to see related term pages.


Exasol AG (FRA:EXL) Business Description

Traded in Other Exchanges
Address
Neumeyerstr. 22 - 26, Nuremberg, BY, DEU, 90411
Exasol AG is a global technology company providing a next-generation in-memory analytical database that enables customers to access and analyse data at high speed and scale. The company's technology is used in a wide range of analytical use cases for financial reporting, data visualisation and predictive analytics.

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