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Datadog (Datadog) EBIT : $68 Mil (TTM As of Dec. 2023)


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What is Datadog EBIT?

Datadog's earnings before interest and taxes (EBIT) for the three months ended in Dec. 2023 was $61 Mil. Its earnings before interest and taxes (EBIT) for the trailing twelve months (TTM) ended in Dec. 2023 was $68 Mil.

EBIT or Operating Income is linked to Return on Capital for both regular definition and Joel Greenblatt's definition. Datadog's annualized ROC % for the quarter that ended in Dec. 2023 was 7.01%. Datadog's annualized ROC (Joel Greenblatt) % for the quarter that ended in Dec. 2023 was 84.56%.

EBIT is also linked to Joel Greenblatt's definition of earnings yield. Datadog's Earnings Yield (Joel Greenblatt) % for the quarter that ended in Dec. 2023 was 0.17%.


Datadog EBIT Historical Data

The historical data trend for Datadog's EBIT 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 EBIT Chart

Datadog Annual Data
Trend Dec17 Dec18 Dec19 Dec20 Dec21 Dec22 Dec23
EBIT
Get a 7-Day Free Trial -15.94 8.21 2.63 -21.54 66.54

Datadog Quarterly Data
Mar19 Jun19 Sep19 Dec19 Mar20 Jun20 Sep20 Dec20 Mar21 Jun21 Sep21 Dec21 Mar22 Jun22 Sep22 Dec22 Mar23 Jun23 Sep23 Dec23
EBIT 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 -20.31 -18.24 0.62 24.76 61.10

Competitive Comparison of Datadog's EBIT

For the Software - Application subindustry, Datadog's EV-to-EBIT, along with its competitors' market caps and EV-to-EBIT 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's EV-to-EBIT Distribution in the Software Industry

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

* The bar in red indicates where Datadog's EV-to-EBIT falls into.



Datadog EBIT Calculation

EBIT, sometimes also called Earnings Before Interest and Taxes, is a measure of a firm's profit that includes all expenses except interest and income tax expenses. It is the difference between operating revenues and operating expenses. When a firm does not have non-operating income, then Operating Income is sometimes used as a synonym for EBIT and operating profit.

EBIT for the trailing twelve months (TTM) ended in Dec. 2023 adds up the quarterly data reported by the company within the most recent 12 months, which was $68 Mil.

* 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) EBIT Explanation

1. EBIT or Operating Income is linked to Return on Capital for both regular definition and Joel Greenblatt's definition.

Datadog's annualized ROC % for the quarter that ended in Dec. 2023 is calculated as:

ROC % (Q: Dec. 2023 )
=NOPAT/Average Invested Capital
=Operating Income * ( 1 - Tax Rate % )/( (Invested Capital (Q: Sep. 2023 ) + Invested Capital (Q: Dec. 2023 ))/ count )
=110.968 * ( 1 - 5.72% )/( (1379.095 + 1607.185)/ 2 )
=104.6206304/1493.14
=7.01 %

where

Invested Capital(Q: Sep. 2023 )
=Total Assets - Accounts Payable & Accrued Expense - Excess Cash
=Total Assets - Accounts Payable & Accrued Expense - ( Cash, Cash Equivalents, Marketable Securities - max(0, Total Current Liabilities - Total Current Assets+Cash, Cash Equivalents, Marketable Securities))
=3543.302 - 187.199 - ( 2341.689 - max(0, 842.476 - 2819.484+2341.689))
=1379.095

Invested Capital(Q: Dec. 2023 )
=Total Assets - Accounts Payable & Accrued Expense - Excess Cash
=Total Assets - Accounts Payable & Accrued Expense - ( Cash, Cash Equivalents, Marketable Securities - max(0, Total Current Liabilities - Total Current Assets+Cash, Cash Equivalents, Marketable Securities))
=3936.072 - 153.802 - ( 2582.898 - max(0, 1003.052 - 3178.137+2582.898))
=1607.185

Note: The Operating Income data used here is four times the quarterly (Dec. 2023) data.

2. Joel Greenblatt's definition of Return on Capital:

Datadog's annualized ROC (Joel Greenblatt) % for the quarter that ended in Dec. 2023 is calculated as:

ROC (Joel Greenblatt) %(Q: Dec. 2023 )
=EBIT/Average of (Net fixed Assets + Net Working Capital)
=EBIT/Average of (Property, Plant and Equipment+Net Working Capital)
     Q: Sep. 2023  Q: Dec. 2023
=EBIT/( ( (Property, Plant and Equipment + Net Working Capital) + (Property, Plant and Equipment + Net Working Capital) )/ count )
=244.392/( ( (279.602 + max(-345.904, 0)) + (298.434 + max(-385.839, 0)) )/ 2 )
=244.392/( ( 279.602 + 298.434 )/ 2 )
=244.392/289.018
=84.56 %

where Working Capital is:

Working Capital(Q: Sep. 2023 )
=(Accounts Receivable + Total Inventories + Other Current Assets) - (Accounts Payable & Accrued Expense + Defer. Rev. + Other Current Liabilities)
=(400.649 + 0 + 77.146) - (187.199 + 636.5 + 0)
=-345.904

Working Capital(Q: Dec. 2023 )
=(Accounts Receivable + Total Inventories + Other Current Assets) - (Accounts Payable & Accrued Expense + Defer. Rev. + Other Current Liabilities)
=(509.279 + 0 + 85.96) - (153.802 + 765.735 + 61.541)
=-385.839

When net working capital is negative, 0 is used.

Note: The EBIT data used here is four times the quarterly (Dec. 2023) EBIT data.

3. It is also linked to Joel Greenblatt's definition of Earnings Yield:

Datadog's Earnings Yield (Joel Greenblatt) % for today is calculated as:

Earnings Yield (Joel Greenblatt) %=EBIT (TTM)/Enterprise Value (Q: Dec. 2023 )
=68.228/40884.953
=0.17 %

* 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 EBIT 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