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Datadog (Datadog) Inventory-to-Revenue

: 0.00 (As of Dec. 2023)
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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. Datadog's Average Total Inventories for the quarter that ended in Dec. 2023 was $0 Mil. Datadog's Revenue for the three months ended in Dec. 2023 was $590 Mil. Datadog's Inventory-to-Revenue for the quarter that ended in Dec. 2023 was 0.00.

Datadog's Inventory-to-Revenue for the quarter that ended in Dec. 2023 stayed the same from Sep. 2023 (0.00) to Sep. 2023 (0.00)

Days Inventory indicates the number of days of goods in sales that a company has in the inventory. Datadog's Days Inventory for the three months ended in Dec. 2023 was 0.00.

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


Datadog Inventory-to-Revenue Historical Data

The historical data trend for Datadog's Inventory-to-Revenue 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.

Datadog Annual Data
Trend Dec17 Dec18 Dec19 Dec20 Dec21 Dec22 Dec23
Inventory-to-Revenue
Premium Member Only Premium Member Only - - - - -

Datadog Quarterly Data
Mar19 Jun19 Sep19 Dec19 Mar20 Jun20 Sep20 Dec20 Mar21 Jun21 Sep21 Dec21 Mar22 Jun22 Sep22 Dec22 Mar23 Jun23 Sep23 Dec23
Inventory-to-Revenue 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 Premium Member Only Premium Member Only Premium Member Only - - - - -

Competitive Comparison

For the Software - Application subindustry, Datadog's Inventory-to-Revenue, along with its competitors' market caps and Inventory-to-Revenue 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.


Datadog Inventory-to-Revenue Distribution

For the Software industry and Technology sector, Datadog's Inventory-to-Revenue distribution charts can be found below:

* The bar in red indicates where Datadog's Inventory-to-Revenue falls into.



Datadog Inventory-to-Revenue Calculation

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.

Datadog's Inventory-to-Revenue for the fiscal year that ended in Dec. 2023 is calculated as

Inventory-to-Revenue (A: Dec. 2023 )
=Average Total Inventories / Revenue
=( (Total Inventories (A: Dec. 2022 ) + Total Inventories (A: Dec. 2023 )) / count ) / Revenue (A: Dec. 2023 )
=( (0 + 0) / 1 ) / 2128.359
=0 / 2128.359
=0.00

Datadog's Inventory-to-Revenue for the quarter that ended in Dec. 2023 is calculated as

Inventory-to-Revenue (Q: Dec. 2023 )
=Average Total Inventories / Revenue
=( (Total Inventories (Q: Sep. 2023 ) + Total Inventories (Q: Dec. 2023 )) / count ) / Revenue (Q: Dec. 2023 )
=( (0 + 0) / 1 ) / 589.649
=0 / 589.649
=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.


Datadog  (NAS:DDOG) Inventory-to-Revenue Explanation

An increase in Inventory-to-Revenue from one quarter to the next indicates that one of the following is happening:

1. investment in inventory is growing more rapidly than revenue
2. revenue are dropping
No matter which situation is causing the problem, an increase in the Inventory-to-Revenue may signal an oncoming cash flow problem.

Likewise, a decrease in the Inventory-to-Revenue from one quarter to next indicates that one of these is occurring:

1. investment in inventory is shrinking in relation to revenue
2. revenue are increasing
No matter which situation is causing the reduction in the Inventory-to-Revenue, either one suggests that business's inventory levels and its cash flow are effectively managed.

More Related Terms:

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

Datadog's Days Inventory for the three months ended in Dec. 2023 is calculated as:

Days Inventory=Average Total Inventories (Q: Dec. 2023 )/Cost of Goods Sold (Q: Dec. 2023 )*Days in Period
=0/104.829*365 / 4
=0.00

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

Datadog's Inventory Turnover for the quarter that ended in Dec. 2023 is calculated as

Inventory Turnover=Cost of Goods Sold (Q: Dec. 2023 ) / Average Total Inventories (Q: Dec. 2023 )
=104.829 / 0
=

* 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.


Datadog Inventory-to-Revenue Related Terms

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Datadog (Datadog) Business Description

Address
620 8th Avenue, 45th Floor, New York, NY, USA, 10018
Datadog is a cloud-native company that focuses on analyzing machine data. The firm's product portfolio, delivered as software-as-a-service, allows a client to monitor and analyze its entire IT infrastructure. Datadog's platform can ingest and analyze large amounts of machine-generated data in real time, allowing clients to utilize it for a variety of different applications throughout their businesses.
Executives
Sean Michael Walters officer: Chief Revenue Officer C/O DATADOG, INC., 620 EIGHTH AVENUE, 45TH FLOOR, NEW YORK NY 10018
Alexis Le-quoc director, officer: President & CTO C/O DATADOG, INC., 620 8TH AVENUE, 45TH FLOOR, NEW YORK NY 10001
Olivier Pomel director, officer: Chief Executive Officer C/O DATADOG, INC., 620 8TH AVENUE, 45TH FLOOR, NEW YORK NY 10001
David M Obstler officer: Chief Financial Officer C/O SCREAMINGMEDIA INC, 601 WEST 26TH STREET 13TH FLOOR, NEW YORK NY 10001
Kerry Acocella officer: General Counsel/Corp Secy C/O DATADOG, INC., 620 EIGHTH STREET, 45TH FLOOR, NEW YORK NY 10018
Adam Blitzer officer: Chief Operating Officer C/O DATADOG, INC., 620 EIGHTH AVENUE, 45TH FLOOR, NEW YORK NY 10018
Amit Agarwal officer: Chief Product Officer 5435 NE DAWSON CREEK DR., HILLSBORO OR 97124
Madre Armelle De officer: Chief People Officer C/O DATADOG, INC., 620 8TH AVENUE, 45TH FLOOR, NEW YORK NY 10018
Dev Ittycheria director C/O MONGO DB, INC., 1633 BROADWAY, 38TH FLOOR, NEW YORK NY 10019
Matthew Jacobson director C/O DATADOG, INC., 45TH FLOOR, NEW YORK NY 10001
Titilope Cole director 388 GREENWICH STREET, NEW YORK NY 10013
Julie Richardson director YEXT, INC., 1 MADISON AVENUE, 5TH FLOOR, NEW YORK NY 10010
Shardul Shah director C/O DATADOG, INC., 620 8TH AVENUE, 45TH FLOOR, NEW YORK NY 10001
Laszlo Kopits officer: General Counsel C/O DATADOG, INC., 45TH FLOOR, NEW YORK NY 10001
Michael James Callahan director C/O DATADOG, INC., 620 8TH AVENUE, 45TH FLOOR, NEW YORK NY 10001