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Datadog (MEX:DDOG) Piotroski F-Score : 7 (As of Mar. 02, 2025)


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What is Datadog Piotroski F-Score?

Good Sign:

Piotroski F-Score is 7, indicates a very healthy situation.

The zones of discrimination were as such:

Good or high score = 7, 8, 9
Bad or low score = 0, 1, 2, 3

Datadog has an F-score of 7. It is a good or high score, which usually indicates a very healthy situation.

The historical rank and industry rank for Datadog's Piotroski F-Score or its related term are showing as below:

MEX:DDOG' s Piotroski F-Score Range Over the Past 10 Years
Min: 4   Med: 5   Max: 8
Current: 7

During the past 8 years, the highest Piotroski F-Score of Datadog was 8. The lowest was 4. And the median was 5.


Datadog Piotroski F-Score Historical Data

The historical data trend for Datadog's Piotroski F-Score 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 Piotroski F-Score Chart

Datadog Annual Data
Trend Dec17 Dec18 Dec19 Dec20 Dec21 Dec22 Dec23 Dec24
Piotroski F-Score
Get a 7-Day Free Trial 5.00 4.00 5.00 8.00 7.00

Datadog Quarterly Data
Mar20 Jun20 Sep20 Dec20 Mar21 Jun21 Sep21 Dec21 Mar22 Jun22 Sep22 Dec22 Mar23 Jun23 Sep23 Dec23 Mar24 Jun24 Sep24 Dec24
Piotroski F-Score 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 8.00 8.00 7.00 6.00 7.00

Competitive Comparison of Datadog's Piotroski F-Score

For the Software - Application subindustry, Datadog's Piotroski F-Score, along with its competitors' market caps and Piotroski F-Score 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 Piotroski F-Score Distribution in the Software Industry

For the Software industry and Technology sector, Datadog's Piotroski F-Score distribution charts can be found below:

* The bar in red indicates where Datadog's Piotroski F-Score falls into.


How is the Piotroski F-Score calculated?

* 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.

This Year (Dec24) TTM:Last Year (Dec23) TTM:
Net Income was 707.515 + 802.86 + 1017.929 + 950.895 = MXN3,479 Mil.
Cash Flow from Operations was 3522.887 + 3012.265 + 4502.797 + 5531.516 = MXN16,569 Mil.
Revenue was 10144.511 + 11821.578 + 13586.622 + 15385.813 = MXN50,939 Mil.
Gross Profit was 8317.296 + 9559.063 + 10874.165 + 12378.88 = MXN41,129 Mil.
Average Total Assets from the begining of this year (Dec23)
to the end of this year (Dec24) was
(66811.862 + 68732.826 + 80835.458 + 91195.053 + 120657.294) / 5 = MXN85646.4986 Mil.
Total Assets at the begining of this year (Dec23) was MXN66,812 Mil.
Long-Term Debt & Capital Lease Obligation was MXN24,530 Mil.
Total Current Assets was MXN102,425 Mil.
Total Current Liabilities was MXN38,848 Mil.
Net Income was -434.15 + -68.044 + 394.19 + 916.491 = MXN808 Mil.

Revenue was 8682.895 + 8734.131 + 9537.473 + 10008.848 = MXN36,963 Mil.
Gross Profit was 6881.945 + 6988.094 + 7737.77 + 8229.455 = MXN29,837 Mil.
Average Total Assets from the begining of last year (Dec22)
to the end of last year (Dec23) was
(58582.595 + 56593.886 + 56783.563 + 61720.413 + 66811.862) / 5 = MXN60098.4638 Mil.
Total Assets at the begining of last year (Dec22) was MXN58,583 Mil.
Long-Term Debt & Capital Lease Obligation was MXN14,944 Mil.
Total Current Assets was MXN53,946 Mil.
Total Current Liabilities was MXN17,026 Mil.

*Note: If the latest quarterly/semi-annual/annual total assets data is 0, then we will use previous quarterly/semi-annual/annual data for all the items in the balance sheet.

Profitability

Question 1. Return on Assets (ROA)

Net income before extraordinary items for the year divided by Total Assets at the beginning of the year.

Score 1 if positive, 0 if negative.

Datadog's current Net Income (TTM) was 3,479. ==> Positive ==> Score 1.

Question 2. Cash Flow Return on Assets (CFROA)

Net cash flow from operating activities (operating cash flow) divided by Total Assets at the beginning of the year.

Score 1 if positive, 0 if negative.

Datadog's current Cash Flow from Operations (TTM) was 16,569. ==> Positive ==> Score 1.

Question 3. Change in Return on Assets

Compare this year's return on assets (1) to last year's return on assets.

Score 1 if it's higher, 0 if it's lower.

ROA (This Year)=Net Income/Total Assets (Dec23)
=3479.199/66811.862
=0.05207457

ROA (Last Year)=Net Income/Total Assets (Dec22)
=808.487/58582.595
=0.01380081

Datadog's return on assets of this year was 0.05207457. Datadog's return on assets of last year was 0.01380081. ==> This year is higher. ==> Score 1.

Question 4. Quality of Earnings (Accrual)

Compare Cash flow return on assets (2) to return on assets (1)

Score 1 if CFROA > ROA, 0 if CFROA <= ROA.

Datadog's current Net Income (TTM) was 3,479. Datadog's current Cash Flow from Operations (TTM) was 16,569. ==> 16,569 > 3,479 ==> CFROA > ROA ==> Score 1.

Funding

Question 5. Change in Gearing or Leverage

Compare this year's gearing (long-term debt divided by average total assets) to last year's gearing.

Score 0 if this year's gearing is higher, 1 otherwise.

Gearing (This Year: Dec24)=Long-Term Debt & Capital Lease Obligation/Average Total Assets from Dec23 to Dec24
=24530.203/85646.4986
=0.28641221

Gearing (Last Year: Dec23)=Long-Term Debt & Capital Lease Obligation/Average Total Assets from Dec22 to Dec23
=14943.5/60098.4638
=0.24865028

Datadog's gearing of this year was 0.28641221. Datadog's gearing of last year was 0.24865028. ==> Last year is lower than this year ==> Score 0.

Question 6. Change in Working Capital (Liquidity)

Compare this year's current ratio (current assets divided by current liabilities) to last year's current ratio.

Score 1 if this year's current ratio is higher, 0 if it's lower

Current Ratio (This Year: Dec24)=Total Current Assets/Total Current Liabilities
=102424.741/38848.183
=2.63653878

Current Ratio (Last Year: Dec23)=Total Current Assets/Total Current Liabilities
=53946.486/17026.053
=3.16846694

Datadog's current ratio of this year was 2.63653878. Datadog's current ratio of last year was 3.16846694. ==> Last year's current ratio is higher ==> Score 0.

Question 7. Change in Shares in Issue

Compare the number of shares in issue this year, to the number in issue last year.

Score 0 if there is larger number of shares in issue this year, 1 otherwise.

Datadog's number of shares in issue this year was 362.551. Datadog's number of shares in issue last year was 433.983. ==> There is smaller number of shares in issue this year, or the same. ==> Score 1.

Efficiency

Question 8. Change in Gross Margin

Compare this year's gross margin (Gross Profit divided by sales) to last year's.

Score 1 if this year's gross margin is higher, 0 if it's lower.

Gross Margin (This Year: TTM)=Gross Profit/Revenue
=41129.404/50938.524
=0.80743219

Gross Margin (Last Year: TTM)=Gross Profit/Revenue
=29837.264/36963.347
=0.80721218

Datadog's gross margin of this year was 0.80743219. Datadog's gross margin of last year was 0.80721218. ==> This year's gross margin is higher. ==> Score 1.

Question 9. Change in asset turnover

Compare this year's asset turnover (total sales for the year divided by total assets at the beginning of the year) to last year's asset turnover ratio.

Score 1 if this year's asset turnover ratio is higher, 0 if it's lower

Asset Turnover (This Year)=Revenue/Total Assets at the Beginning of This Year (Dec23)
=50938.524/66811.862
=0.76241737

Asset Turnover (Last Year)=Revenue/Total Assets at the Beginning of Last Year (Dec22)
=36963.347/58582.595
=0.63096124

Datadog's asset turnover of this year was 0.76241737. Datadog's asset turnover of last year was 0.63096124. ==> This year's asset turnover is higher. ==> Score 1.

Evaluation

Piotroski F-Score= Que. 1+ Que. 2+ Que. 3+Que. 4+Que. 5+Que. 6+Que. 7+Que. 8+Que. 9
=1+1+1+1+0+0+1+1+1
=7

Good or high score = 7, 8, 9
Bad or low score = 0, 1, 2, 3

Datadog has an F-score of 7. It is a good or high score, which usually indicates a very healthy situation.

Datadog  (MEX:DDOG) Piotroski F-Score Explanation

The developer of the system is Joseph D. Piotroski is relatively unknown accounting professor who shuns publicity and rarely gives interviews.

He graduated from the University of Illinois with a B.S. in accounting in 1989, received an M.B.A. from Indiana University in 1994. Five years later, in 1999, after earning a Ph.D. in accounting from the University of Michigan, he became an associate professor of accounting at the University of Chicago.

In 2000, he wrote a research paper called "Value Investing: The Use of Historical Financial Statement Information to Separate Winners from Losers" (pdf).

He wanted to see if he can develop a system (using a simple nine-point scoring system) that can increase the returns of a strategy of investing in low price to book (referred to in the paper as high book to market) value companies.

What he found was something that exceeded his most optimistic expectations.

Buying only those companies that scored highest (8 or 9) on his nine-point scale, or F-Score as he called it, over the 20 year period from 1976 to 1996 led to an average out-performance over the market of 13.4%.

Even more impressive were the results of a strategy of investing in the highest F-Score companies (8 or 9) and shorting companies with the lowest F-Score (0 or 1).

Over the same period from 1976 to 1996 (20 years) this strategy led to an average yearly return of 23%, substantially outperforming the average S&P 500 index return of 15.83% over the same period.


Datadog Piotroski F-Score Related Terms

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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 via 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 applications throughout their businesses.