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True Data (TSE:4416) Piotroski F-Score : 7 (As of Jun. 25, 2024)


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What is True Data 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

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

TSE:4416' s Piotroski F-Score Range Over the Past 10 Years
Min: 7   Med: 7   Max: 8
Current: 7

During the past 5 years, the highest Piotroski F-Score of True Data was 8. The lowest was 7. And the median was 7.


True Data Piotroski F-Score Historical Data

The historical data trend for True Data'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.

True Data Piotroski F-Score Chart

True Data Annual Data
Trend Mar20 Mar21 Mar22 Mar23 Mar24
Piotroski F-Score
N/A N/A 8.00 7.00 7.00

True Data Quarterly Data
Mar20 Mar21 Sep21 Dec21 Mar22 Jun22 Sep22 Dec22 Mar23 Jun23 Sep23 Dec23 Mar24
Piotroski F-Score Get a 7-Day Free Trial Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only 7.00 - - - 7.00

Competitive Comparison of True Data's Piotroski F-Score

For the Software - Application subindustry, True Data'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.


True Data's Piotroski F-Score Distribution in the Software Industry

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

* The bar in red indicates where True Data'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 (Mar24) TTM:Last Year (Mar23) TTM:
Net Income was 円60 Mil.
Cash Flow from Operations was 円128 Mil.
Revenue was 円1,593 Mil.
Gross Profit was 円914 Mil.
Average Total Assets from the begining of this year (Mar23)
to the end of this year (Mar24) was (1278.029 + 1362.572) / 2 = 円1320.3005 Mil.
Total Assets at the begining of this year (Mar23) was 円1,278 Mil.
Long-Term Debt & Capital Lease Obligation was 円5 Mil.
Total Current Assets was 円1,152 Mil.
Total Current Liabilities was 円305 Mil.
Net Income was 円34 Mil.

Revenue was 円1,440 Mil.
Gross Profit was 円765 Mil.
Average Total Assets from the begining of last year (Mar22)
to the end of last year (Mar23) was (1297.455 + 1278.029) / 2 = 円1287.742 Mil.
Total Assets at the begining of last year (Mar22) was 円1,297 Mil.
Long-Term Debt & Capital Lease Obligation was 円33 Mil.
Total Current Assets was 円1,080 Mil.
Total Current Liabilities was 円271 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.

True Data's current Net Income (TTM) was 60. ==> 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.

True Data's current Cash Flow from Operations (TTM) was 128. ==> 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 (Mar23)
=60/1278.029
=0.04694729

ROA (Last Year)=Net Income/Total Assets (Mar22)
=33.996/1297.455
=0.02620206

True Data's return on assets of this year was 0.04694729. True Data's return on assets of last year was 0.02620206. ==> 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.

True Data's current Net Income (TTM) was 60. True Data's current Cash Flow from Operations (TTM) was 128. ==> 128 > 60 ==> 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: Mar24)=Long-Term Debt & Capital Lease Obligation/Average Total Assets from Mar23 to Mar24
=5.48/1320.3005
=0.00415057

Gearing (Last Year: Mar23)=Long-Term Debt & Capital Lease Obligation/Average Total Assets from Mar22 to Mar23
=32.75/1287.742
=0.02543211

True Data's gearing of this year was 0.00415057. True Data's gearing of last year was 0.02543211. ==> 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: Mar24)=Total Current Assets/Total Current Liabilities
=1152.269/305.32
=3.77397157

Current Ratio (Last Year: Mar23)=Total Current Assets/Total Current Liabilities
=1079.983/271.137
=3.98316349

True Data's current ratio of this year was 3.77397157. True Data's current ratio of last year was 3.98316349. ==> 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.

True Data's number of shares in issue this year was 4.785. True Data's number of shares in issue last year was 4.781. ==> 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
=914.428/1593.04
=0.57401446

Gross Margin (Last Year: TTM)=Gross Profit/Revenue
=765.028/1440.271
=0.53116948

True Data's gross margin of this year was 0.57401446. True Data's gross margin of last year was 0.53116948. ==> 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 (Mar23)
=1593.04/1278.029
=1.24648189

Asset Turnover (Last Year)=Revenue/Total Assets at the Beginning of Last Year (Mar22)
=1440.271/1297.455
=1.11007395

True Data's asset turnover of this year was 1.24648189. True Data's asset turnover of last year was 1.11007395. ==> 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+1+0+0+1+1
=7

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

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

True Data  (TSE:4416) 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.


True Data Piotroski F-Score Related Terms

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True Data (TSE:4416) Business Description

Traded in Other Exchanges
N/A
Address
1-10-11 Shibadaimon, Minato-ku, Tokyo, JPN, 105?0012
True Data Inc operates a big data platform that handles consumer purchasing data nationwide. It develops and provides consumer data analysis and purchasing behavior analysis solutions such as POS / ID-POS to retailers and consumer goods manufacturers.

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