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True Data (TSE:4416) ROA % : 17.90% (As of Mar. 2024)


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What is True Data ROA %?

ROA % is calculated as Net Income divided by its average Total Assets over a certain period of time. True Data's annualized Net Income for the quarter that ended in Mar. 2024 was 円236 Mil. True Data's average Total Assets over the quarter that ended in Mar. 2024 was 円1,316 Mil. Therefore, True Data's annualized ROA % for the quarter that ended in Mar. 2024 was 17.90%.

The historical rank and industry rank for True Data's ROA % or its related term are showing as below:

TSE:4416' s ROA % Range Over the Past 10 Years
Min: -11.08   Med: 1.42   Max: 4.67
Current: 4.67

During the past 5 years, True Data's highest ROA % was 4.67%. The lowest was -11.08%. And the median was 1.42%.

TSE:4416's ROA % is ranked better than
64.55% of 2849 companies
in the Software industry
Industry Median: 1.35 vs TSE:4416: 4.67

True Data ROA % Historical Data

The historical data trend for True Data's ROA % 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 ROA % Chart

True Data Annual Data
Trend Mar20 Mar21 Mar22 Mar23 Mar24
ROA %
-11.08 -6.89 1.42 2.64 4.54

True Data Quarterly Data
Mar20 Mar21 Sep21 Dec21 Mar22 Jun22 Sep22 Dec22 Mar23 Jun23 Sep23 Dec23 Mar24
ROA % Get a 7-Day Free Trial Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only -1.68 -13.23 6.35 7.32 17.90

Competitive Comparison of True Data's ROA %

For the Software - Application subindustry, True Data's ROA %, along with its competitors' market caps and ROA % 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 ROA % Distribution in the Software Industry

For the Software industry and Technology sector, True Data's ROA % distribution charts can be found below:

* The bar in red indicates where True Data's ROA % falls into.



True Data ROA % Calculation

True Data's annualized ROA % for the fiscal year that ended in Mar. 2024 is calculated as:

ROA %=Net Income (A: Mar. 2024 )/( (Total Assets (A: Mar. 2023 )+Total Assets (A: Mar. 2024 ))/ count )
=60/( (1278.029+1362.572)/ 2 )
=60/1320.3005
=4.54 %

True Data's annualized ROA % for the quarter that ended in Mar. 2024 is calculated as:

ROA %=Net Income (Q: Mar. 2024 )/( (Total Assets (Q: Dec. 2023 )+Total Assets (Q: Mar. 2024 ))/ count )
=235.608/( (1269.291+1362.572)/ 2 )
=235.608/1315.9315
=17.90 %

* 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.

In the calculation of annual ROA %, the net income of the last fiscal year and the average total assets over the fiscal year are used. In calculating the quarterly data, the Net Income data used here is four times the quarterly (Mar. 2024) net income data. ROA % is displayed in the 30-year financial page.


True Data  (TSE:4416) ROA % Explanation

ROA % measures the rate of return on the total assets (shareholder equity plus liabilities). It measures a firm's efficiency at generating profits from shareholders' equity plus its liabilities. ROA % shows how well a company uses what it has to generate earnings. ROA %s can vary drastically across industries. Therefore, ROA % should not be used to compare companies in different industries. For retailers, a ROA % of higher than 5% is expected. For example, Wal-Mart (WMT) has a ROA % of about 8% as of 2012. For banks, ROA % is close to their interest spread. A bank’s ROA % is typically well under 2%.

Similar to ROE, ROA % is affected by profit margins and asset turnover. This can be seen from the Du Pont Formula:

ROA %(Q: Mar. 2024 )
=Net Income/Total Assets
=235.608/1315.9315
=(Net Income / Revenue)*(Revenue / Total Assets)
=(235.608 / 1602.724)*(1602.724 / 1315.9315)
=Net Margin %*Asset Turnover
=14.7 %*1.2179
=17.90 %

Note: The Net Income data used here is four times the quarterly (Mar. 2024) net income data. The Revenue data used here is four times the quarterly (Mar. 2024) revenue data.

* 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.


Be Aware

Like ROE, ROA % is calculated with only 12 months data. Fluctuations in the company's earnings or business cycles can affect the ratio drastically. It is important to look at the ratio from a long term perspective. ROA % can be affected by events such as stock buyback or issuance, and by goodwill, a company's tax rate and its interest payment. ROA % may not reflect the true earning power of the assets. A more accurate measurement is ROC % (ROC).

Many analysts argue the higher return the better. Buffett states that really high ROA % may indicate vulnerability in the durability of the competitive advantage.

E.g. Raising $43b to take on KO is impossible, but $1.7b to take on Moody's is. Although Moody's ROA % and underlying economics is far superior to Coca Cola, the durability is far weaker because of lower entry cost.


True Data ROA % Related Terms

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True Data 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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