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FAAS (DigiAsia) ROA % : -17.74% (As of Jun. 2023)


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What is DigiAsia ROA %?

ROA % is calculated as Net Income divided by its average Total Assets over a certain period of time. DigiAsia's annualized Net Income for the quarter that ended in Jun. 2023 was $-7.35 Mil. DigiAsia's average Total Assets over the quarter that ended in Jun. 2023 was $41.43 Mil. Therefore, DigiAsia's annualized ROA % for the quarter that ended in Jun. 2023 was -17.74%.

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

FAAS's ROA % is not ranked *
in the Software industry.
Industry Median: 1.53
* Ranked among companies with meaningful ROA % only.

DigiAsia ROA % Historical Data

The historical data trend for DigiAsia'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.

DigiAsia ROA % Chart

DigiAsia Annual Data
Trend Dec21 Dec22
ROA %
-24.86 -14.74

DigiAsia Semi-Annual Data
Dec21 Jun22 Dec22 Jun23
ROA % - -15.32 -14.25 -17.74

Competitive Comparison of DigiAsia's ROA %

For the Software - Infrastructure subindustry, DigiAsia'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.


DigiAsia's ROA % Distribution in the Software Industry

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

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



DigiAsia ROA % Calculation

DigiAsia's annualized ROA % for the fiscal year that ended in Dec. 2022 is calculated as:

ROA %=Net Income (A: Dec. 2022 )/( (Total Assets (A: Dec. 2021 )+Total Assets (A: Dec. 2022 ))/ count )
=-4.241/( (26.496+31.052)/ 2 )
=-4.241/28.774
=-14.74 %

DigiAsia's annualized ROA % for the quarter that ended in Jun. 2023 is calculated as:

ROA %=Net Income (Q: Jun. 2023 )/( (Total Assets (Q: Dec. 2022 )+Total Assets (Q: Jun. 2023 ))/ count )
=-7.35/( (31.052+51.799)/ 2 )
=-7.35/41.4255
=-17.74 %

* 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 two times the semi-annual (Jun. 2023) net income data. ROA % is displayed in the 30-year financial page.


DigiAsia  (NAS:FAAS) 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: Jun. 2023 )
=Net Income/Total Assets
=-7.35/41.4255
=(Net Income / Revenue)*(Revenue / Total Assets)
=(-7.35 / 70.644)*(70.644 / 41.4255)
=Net Margin %*Asset Turnover
=-10.4 %*1.7053
=-17.74 %

Note: The Net Income data used here is two times the semi-annual (Jun. 2023) net income data. The Revenue data used here is two times the semi-annual (Jun. 2023) 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.


DigiAsia ROA % Related Terms

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DigiAsia Business Description

Comparable Companies
Traded in Other Exchanges
N/A
Address
One Raffles Place, No. 28-02, Singapore, SGP, 048616
DigiAsia Corp operates as a holding company. The majority of DigiAsia's operations are currently conducted through its majority-owned entities, controlled entities and corporate joint venture. It is among the first embedded fintech as a service (EFaaS) companies in Indonesia serving business-to-business-to-consumer (B2B2C) customers, such as large corporations and state-owned enterprises, as well as business-to-business (B2B) customers, such as micro, small and medium-sized enterprise (MSME) merchants, across various segments. It aims to be a fintech-enabling platform in Southeast Asia by accelerating financial inclusion through its licenses and technology stack and combining the benefits of technological innovation with traditional financial services.