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Edge Total Intelligence (FRA:Q5I) Piotroski F-Score : 6 (As of Apr. 03, 2025)


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What is Edge Total Intelligence Piotroski F-Score?

The zones of discrimination were as such:

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

Edge Total Intelligence has an F-score of 6 indicating the company's financial situation is typical for a stable company.

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

FRA:Q5I' s Piotroski F-Score Range Over the Past 10 Years
Min: 3   Med: 4   Max: 6
Current: 6

During the past 5 years, the highest Piotroski F-Score of Edge Total Intelligence was 6. The lowest was 3. And the median was 4.


Edge Total Intelligence Piotroski F-Score Historical Data

The historical data trend for Edge Total Intelligence'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.

Edge Total Intelligence Piotroski F-Score Chart

Edge Total Intelligence Annual Data
Trend Dec19 Dec20 Dec21 Dec22 Dec23
Piotroski F-Score
N/A N/A 3.00 4.00 6.00

Edge Total Intelligence Quarterly Data
Dec19 Mar20 Jun20 Sep20 Dec20 Mar21 Jun21 Sep21 Dec21 Mar22 Jun22 Sep22 Dec22 Mar23 Jun23 Sep23 Dec23 Mar24 Jun24 Sep24
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 3.00 6.00 5.00 5.00 6.00

Competitive Comparison of Edge Total Intelligence's Piotroski F-Score

For the Software - Infrastructure subindustry, Edge Total Intelligence'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.


Edge Total Intelligence's Piotroski F-Score Distribution in the Software Industry

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

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


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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 (Sep24) TTM:Last Year (Sep23) TTM:
Net Income was 1.048 + -1.551 + -0.327 + -0.979 = €-1.81 Mil.
Cash Flow from Operations was 0.449 + -0.375 + -0.21 + -0.636 = €-0.77 Mil.
Revenue was 0.89 + 0.704 + 0.737 + 0.654 = €2.99 Mil.
Gross Profit was 0.633 + 0.422 + 0.613 + 0.446 = €2.11 Mil.
Average Total Assets from the begining of this year (Sep23)
to the end of this year (Sep24) was
(2.48 + 2.516 + 1.924 + 1.629 + 4.565) / 5 = €2.6228 Mil.
Total Assets at the begining of this year (Sep23) was €2.48 Mil.
Long-Term Debt & Capital Lease Obligation was €0.93 Mil.
Total Current Assets was €2.32 Mil.
Total Current Liabilities was €4.72 Mil.
Net Income was -4.277 + -0.549 + -1.329 + -0.303 = €-6.46 Mil.

Revenue was 0.713 + 0.854 + 0.826 + 0.97 = €3.36 Mil.
Gross Profit was 0.411 + 0.573 + 0.515 + 0.78 = €2.28 Mil.
Average Total Assets from the begining of last year (Sep22)
to the end of last year (Sep23) was
(7.118 + 3.375 + 4.156 + 3.82 + 2.48) / 5 = €4.1898 Mil.
Total Assets at the begining of last year (Sep22) was €7.12 Mil.
Long-Term Debt & Capital Lease Obligation was €5.58 Mil.
Total Current Assets was €0.80 Mil.
Total Current Liabilities was €5.66 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.

Edge Total Intelligence's current Net Income (TTM) was -1.81. ==> Negative ==> Score 0.

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.

Edge Total Intelligence's current Cash Flow from Operations (TTM) was -0.77. ==> Negative ==> Score 0.

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 (Sep23)
=-1.809/2.48
=-0.72943548

ROA (Last Year)=Net Income/Total Assets (Sep22)
=-6.458/7.118
=-0.90727733

Edge Total Intelligence's return on assets of this year was -0.72943548. Edge Total Intelligence's return on assets of last year was -0.90727733. ==> 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.

Edge Total Intelligence's current Net Income (TTM) was -1.81. Edge Total Intelligence's current Cash Flow from Operations (TTM) was -0.77. ==> -0.77 > -1.81 ==> 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: Sep24)=Long-Term Debt & Capital Lease Obligation/Average Total Assets from Sep23 to Sep24
=0.929/2.6228
=0.35420162

Gearing (Last Year: Sep23)=Long-Term Debt & Capital Lease Obligation/Average Total Assets from Sep22 to Sep23
=5.575/4.1898
=1.33061244

Edge Total Intelligence's gearing of this year was 0.35420162. Edge Total Intelligence's gearing of last year was 1.33061244. ==> 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: Sep24)=Total Current Assets/Total Current Liabilities
=2.324/4.724
=0.49195597

Current Ratio (Last Year: Sep23)=Total Current Assets/Total Current Liabilities
=0.802/5.661
=0.14167108

Edge Total Intelligence's current ratio of this year was 0.49195597. Edge Total Intelligence's current ratio of last year was 0.14167108. ==> This year's current ratio is higher. ==> Score 1.

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.

Edge Total Intelligence's number of shares in issue this year was 30.487. Edge Total Intelligence's number of shares in issue last year was 19.155. ==> There is larger number of shares in issue this year. ==> Score 0.

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
=2.114/2.985
=0.70820771

Gross Margin (Last Year: TTM)=Gross Profit/Revenue
=2.279/3.363
=0.67766875

Edge Total Intelligence's gross margin of this year was 0.70820771. Edge Total Intelligence's gross margin of last year was 0.67766875. ==> 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 (Sep23)
=2.985/2.48
=1.20362903

Asset Turnover (Last Year)=Revenue/Total Assets at the Beginning of Last Year (Sep22)
=3.363/7.118
=0.47246418

Edge Total Intelligence's asset turnover of this year was 1.20362903. Edge Total Intelligence's asset turnover of last year was 0.47246418. ==> 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
=0+0+1+1+1+1+0+1+1
=6

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

Edge Total Intelligence has an F-score of 6 indicating the company's financial situation is typical for a stable company.

Edge Total Intelligence  (FRA:Q5I) 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.


Edge Total Intelligence Piotroski F-Score Related Terms

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Edge Total Intelligence Business Description

Traded in Other Exchanges
Address
1501 Lee Highway, Suite 301, Arlington, New York, NY, USA, 22209
Edge Total Intelligence Inc operates as a software company delivering increased operational resilience, agility, and efficiency. The company's low-code rapid development software, edgeCore, securely unifies control and intelligence without creating new data stores or uprooting existing systems. Configurable pipelines and visualizations transform siloed systems into composable operations that meet the needs of users and evolving business situations. Edge Total Intelligence serves customers world wide. The company generates the majority of its revenue from Subscription software licenses. The company also generates revenue from Professional consulting services.

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