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Neural Group (TSE:4056) Piotroski F-Score : 4 (As of Apr. 08, 2025)


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What is Neural Group 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

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

TSE:4056' s Piotroski F-Score Range Over the Past 10 Years
Min: 2   Med: 4   Max: 5
Current: 4

During the past 7 years, the highest Piotroski F-Score of Neural Group was 5. The lowest was 2. And the median was 4.


Neural Group Piotroski F-Score Historical Data

The historical data trend for Neural Group'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.

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Neural Group Piotroski F-Score Chart

Neural Group Annual Data
Trend Dec18 Dec19 Dec20 Dec21 Dec22 Dec23 Dec24
Piotroski F-Score
Get a 7-Day Free Trial 5.00 2.00 3.00 4.00 -

Neural Group Quarterly Data
Dec19 Mar20 Jun20 Sep20 Dec20 Mar21 Jun21 Sep21 Dec21 Mar22 Jun22 Sep22 Dec22 Mar23 Jun23 Sep23 Dec23 Mar24 Jun24 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 - 4.00 - - -

Competitive Comparison of Neural Group's Piotroski F-Score

For the Information Technology Services subindustry, Neural Group'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.


Neural Group's Piotroski F-Score Distribution in the Software Industry

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

* The bar in red indicates where Neural Group'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 (Dec24) TTM:Last Year (Dec23) TTM:
Net Income was 円-61 Mil.
Cash Flow from Operations was 円195 Mil.
Revenue was 円3,565 Mil.
Gross Profit was 円2,367 Mil.
Average Total Assets from the begining of this year (Dec23)
to the end of this year (Dec24) was (3291.133 + 2976.777) / 2 = 円3133.955 Mil.
Total Assets at the begining of this year (Dec23) was 円3,291 Mil.
Long-Term Debt & Capital Lease Obligation was 円755 Mil.
Total Current Assets was 円1,510 Mil.
Total Current Liabilities was 円1,527 Mil.
Net Income was 円-650 Mil.

Revenue was 円3,178 Mil.
Gross Profit was 円2,063 Mil.
Average Total Assets from the begining of last year (Dec22)
to the end of last year (Dec23) was (3803.357 + 3291.133) / 2 = 円3547.245 Mil.
Total Assets at the begining of last year (Dec22) was 円3,803 Mil.
Long-Term Debt & Capital Lease Obligation was 円1,129 Mil.
Total Current Assets was 円1,629 Mil.
Total Current Liabilities was 円1,634 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.

Neural Group's current Net Income (TTM) was -61. ==> 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.

Neural Group's current Cash Flow from Operations (TTM) was 195. ==> 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)
=-60.931/3291.133
=-0.01851369

ROA (Last Year)=Net Income/Total Assets (Dec22)
=-650.123/3803.357
=-0.17093399

Neural Group's return on assets of this year was -0.01851369. Neural Group's return on assets of last year was -0.17093399. ==> 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.

Neural Group's current Net Income (TTM) was -61. Neural Group's current Cash Flow from Operations (TTM) was 195. ==> 195 > -61 ==> 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
=755.413/3133.955
=0.24104143

Gearing (Last Year: Dec23)=Long-Term Debt & Capital Lease Obligation/Average Total Assets from Dec22 to Dec23
=1128.924/3547.245
=0.31825374

Neural Group's gearing of this year was 0.24104143. Neural Group's gearing of last year was 0.31825374. ==> 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: Dec24)=Total Current Assets/Total Current Liabilities
=1509.907/1526.727
=0.98898297

Current Ratio (Last Year: Dec23)=Total Current Assets/Total Current Liabilities
=1628.562/1634.118
=0.9966

Neural Group's current ratio of this year was 0.98898297. Neural Group's current ratio of last year was 0.9966. ==> 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.

Neural Group's number of shares in issue this year was 15.348. Neural Group's number of shares in issue last year was 14.894. ==> 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
=2367.079/3564.789
=0.66401658

Gross Margin (Last Year: TTM)=Gross Profit/Revenue
=2063.141/3178.169
=0.64916026

Neural Group's gross margin of this year was 0.66401658. Neural Group's gross margin of last year was 0.64916026. ==> 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)
=3564.789/3291.133
=1.08314948

Asset Turnover (Last Year)=Revenue/Total Assets at the Beginning of Last Year (Dec22)
=3178.169/3803.357
=0.83562206

Neural Group's asset turnover of this year was 1.08314948. Neural Group's asset turnover of last year was 0.83562206. ==> 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+1+1+1+1+0+0+1+1
=6

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

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

Neural Group  (TSE:4056) 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.


Neural Group Piotroski F-Score Related Terms

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Neural Group Business Description

Traded in Other Exchanges
N/A
Address
1-1-2, Yurakucho, Hibiya Mitsui Tower 32F, Tokyo Midtown Hibiya, Tokyo, Chiyoda-ku, JPN, 100-0006
Neural Group Inc offers solutions using image and video analysis technology based on proprietary AI algorithms and edge computing technology. The company develops and owns various AI technologies such as object detection in images and videos, classification, spatial recognition, human body/movement analysis, and facial expression/browsing analysis.

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