What is the level of liabilities of Data#3 this year?
Data#3 has a debt balance of 791.23 M AUD this year.
In 2025, Data#3's total liabilities amounted to 791.23 M AUD, a -8.77% difference from the 867.26 M AUD total liabilities in the previous year.
Data#3's liabilities constitute the company's financial obligations and debts owed to external parties and stakeholders. They are categorized into current liabilities, due within a year, and long-term liabilities, which are due over a longer period. A detailed assessment of these liabilities is crucial for evaluating Data#3's financial stability, operational efficiency, and long-term viability.
By comparing Data#3's liabilities year-over-year, investors can identify trends, shifts, and anomalies in the company’s financial positioning. A decrease in total liabilities often signals financial strengthening, while an increase might indicate enhanced investments, acquisitions, or potential financial strain.
Data#3's total liabilities play a significant role in determining the company's leverage and risk profile. Investors and analysts examine this aspect meticulously to ascertain the firm’s ability to meet its financial obligations, which influences investment attractiveness and credit ratings.
Shifts in Data#3’s liability structure indicate changes in its financial management and strategy. A reduction in liabilities reflects efficient financial management or debt payoffs, while an increase may suggest expansion, acquisition activities, or accruing operational expenses, each carrying distinct implications for investors.
Data#3 has a debt balance of 791.23 M AUD this year.
The liabilities of Data#3 have increased by -8.77% dropped compared to the previous year.
High liabilities can pose a risk for investors of Data#3, as they can weaken the company's financial position and impair its ability to meet its obligations.
Low liabilities mean that Data#3 has a strong financial position and is able to meet its obligations without overburdening its finances.
An increase in liabilities of Data#3 can lead to the company having more obligations and potentially find it more difficult to meet its financial commitments.
A decrease in the liabilities of Data#3 can lead to the company having fewer obligations and a stronger financial position, which can make it easier for the company to fulfill its financial commitments.
Some factors that can influence the liabilities of Data#3 include investments, acquisitions, operating costs, and sales development.
The liabilities of Data#3 are important for investors as they serve as an indicator of the company's financial stability and provide investors with information on how the company meets its financial obligations.
To change its liabilities, Data#3 can take measures such as cost savings, increasing revenue, selling assets, raising investments, or forming partnerships. It is important for the company to conduct a thorough review of its financial situation to choose the best strategic actions.
Over the past 12 months, Data#3 paid a dividend of 0.36 AUD . This corresponds to a dividend yield of about 5.03 %. For the coming 12 months, Data#3 is expected to pay a dividend of 0.31 AUD.
The current dividend yield of Data#3 is 5.03 %.
Data#3 pays a quarterly dividend. This is distributed in the months of April, October, April, October.
Data#3 paid dividends every year for the past 26 years.
For the upcoming 12 months, dividends amounting to 0.31 AUD are expected. This corresponds to a dividend yield of 4.28 %.
Data#3 is assigned to the 'Information technology' sector.
To receive the latest dividend of Data#3 from 9/30/2024 amounting to 0.184 AUD, you needed to have the stock in your portfolio before the ex-date on 9/13/2024.
The last dividend was paid out on 9/30/2024.
In the year 2024, Data#3 distributed 0.313 AUD as dividends.
The dividends of Data#3 are distributed in AUD.
Our stock analysis for Data#3 Revenue stock includes important financial indicators such as revenue, profit, P/E ratio, P/S ratio, EBIT, as well as information on dividends. We also assess aspects such as stocks, market capitalization, debt, equity, and liabilities of Data#3 Revenue. If you are looking for more detailed information on these topics, we offer comprehensive analyses on our subpages.