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Darktrace (LSE:DARK) Piotroski F-Score : 7 (As of Jun. 09, 2024)


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What is Darktrace 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

Darktrace 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 Darktrace's Piotroski F-Score or its related term are showing as below:

LSE:DARK' s Piotroski F-Score Range Over the Past 10 Years
Min: 4   Med: 6   Max: 7
Current: 7

During the past 6 years, the highest Piotroski F-Score of Darktrace was 7. The lowest was 4. And the median was 6.


Darktrace Piotroski F-Score Historical Data

The historical data trend for Darktrace'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.

Darktrace Piotroski F-Score Chart

Darktrace Annual Data
Trend Jun18 Jun19 Jun20 Jun21 Jun22 Jun23
Piotroski F-Score
Get a 7-Day Free Trial N/A 6.00 6.00 4.00 7.00

Darktrace Semi-Annual Data
Jun18 Jun19 Dec19 Jun20 Dec20 Jun21 Dec21 Jun22 Dec22 Jun23 Dec23
Piotroski F-Score Get a 7-Day Free Trial Premium Member Only Premium Member Only Premium Member Only - 4.00 - 7.00 -

Competitive Comparison of Darktrace's Piotroski F-Score

For the Software - Infrastructure subindustry, Darktrace'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.


Darktrace's Piotroski F-Score Distribution in the Software Industry

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

* The bar in red indicates where Darktrace'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 (Jun23) TTM:Last Year (Jun22) TTM:
Net Income was £46.7 Mil.
Cash Flow from Operations was £106.2 Mil.
Revenue was £432.0 Mil.
Gross Profit was £387.9 Mil.
Average Total Assets from the begining of this year (Jun22)
to the end of this year (Jun23) was (592.241 + 595.477) / 2 = £593.859 Mil.
Total Assets at the begining of this year (Jun22) was £592.2 Mil.
Long-Term Debt & Capital Lease Obligation was £41.8 Mil.
Total Current Assets was £412.3 Mil.
Total Current Liabilities was £321.1 Mil.
Net Income was £1.2 Mil.

Revenue was £337.4 Mil.
Gross Profit was £301.0 Mil.
Average Total Assets from the begining of last year (Jun21)
to the end of last year (Jun22) was (396.011 + 592.241) / 2 = £494.126 Mil.
Total Assets at the begining of last year (Jun21) was £396.0 Mil.
Long-Term Debt & Capital Lease Obligation was £48.8 Mil.
Total Current Assets was £417.0 Mil.
Total Current Liabilities was £262.9 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.

Darktrace's current Net Income (TTM) was 46.7. ==> 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.

Darktrace's current Cash Flow from Operations (TTM) was 106.2. ==> 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 (Jun22)
=46.695/592.241
=0.07884459

ROA (Last Year)=Net Income/Total Assets (Jun21)
=1.183/396.011
=0.00298729

Darktrace's return on assets of this year was 0.07884459. Darktrace's return on assets of last year was 0.00298729. ==> 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.

Darktrace's current Net Income (TTM) was 46.7. Darktrace's current Cash Flow from Operations (TTM) was 106.2. ==> 106.2 > 46.7 ==> 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: Jun23)=Long-Term Debt & Capital Lease Obligation/Average Total Assets from Jun22 to Jun23
=41.766/593.859
=0.07032983

Gearing (Last Year: Jun22)=Long-Term Debt & Capital Lease Obligation/Average Total Assets from Jun21 to Jun22
=48.826/494.126
=0.09881285

Darktrace's gearing of this year was 0.07032983. Darktrace's gearing of last year was 0.09881285. ==> This year is lower or equal to last year. ==> Score 1.

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: Jun23)=Total Current Assets/Total Current Liabilities
=412.345/321.106
=1.28413982

Current Ratio (Last Year: Jun22)=Total Current Assets/Total Current Liabilities
=417.016/262.904
=1.58619116

Darktrace's current ratio of this year was 1.28413982. Darktrace's current ratio of last year was 1.58619116. ==> 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.

Darktrace's number of shares in issue this year was 677.911. Darktrace's number of shares in issue last year was 695.581. ==> 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
=387.912/431.981
=0.89798394

Gross Margin (Last Year: TTM)=Gross Profit/Revenue
=300.955/337.371
=0.89205948

Darktrace's gross margin of this year was 0.89798394. Darktrace's gross margin of last year was 0.89205948. ==> 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 (Jun22)
=431.981/592.241
=0.7294007

Asset Turnover (Last Year)=Revenue/Total Assets at the Beginning of Last Year (Jun21)
=337.371/396.011
=0.85192331

Darktrace's asset turnover of this year was 0.7294007. Darktrace's asset turnover of last year was 0.85192331. ==> Last year's asset turnover is higher ==> Score 0.

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+1+0+1+1+0
=7

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

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

Darktrace  (LSE:DARK) 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.


Darktrace Piotroski F-Score Related Terms

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Darktrace (LSE:DARK) Business Description

Traded in Other Exchanges
Address
Saint John’s Innovation Park, Cowley Road, Maurice Wilkes Building, Cambridge, GBR, CB4 0DS
Darktrace PLC is a provider of AI for the enterprise, with the first at-scale deployment of AI in cybersecurity. It is a pioneer of self-learning AI and is at the forefront of autonomous response technology. The Group's platform uses machine learning and AI algorithms to neutralize cyber threats across diverse digital estates, including the cloud and networks, IoT, and industrial control systems. Geographically, it derives a majority of revenue from the USA and Canada and also has a presence in the United Kingdom; Europe, and Rest of World.

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