Agent Information Software Stock Last Dividend Paid
| AIFS Stock | USD 1.11 0.00 0.00% |
Agent Information Software fundamentals help investors to digest information that contributes to Agent Information's financial success or failures. It also enables traders to predict the movement of Agent Pink Sheet. The fundamental analysis module provides a way to measure Agent Information's intrinsic value by examining its available economic and financial indicators, including the cash flow records, the balance sheet account changes, the income statement patterns, and various microeconomic indicators and financial ratios related to Agent Information pink sheet.
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Agent Information Software Company Last Dividend Paid Analysis
Agent Information's Last Dividend Paid refers to dividend per share(DPS) paid to the shareholder the last time dividends were issued by a company. In its conventional sense, dividends refer to the distribution of some of a company's net earnings or capital gains decided by the board of directors.
More About Last Dividend Paid | All Equity Analysis
Last Dividend | = | Last Profit Distribution AmountTotal Shares |
Many stable companies today pay out dividends to their shareholders in the form of the income distribution, but high-growth firms rarely offer dividends because all of their earnings are reinvested back to the business.
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Based on the recorded statements, Agent Information Software has a Last Dividend Paid of 0.0. This indicator is about the same for the Technology average (which is currently at 0.0) sector and about the same as Software—Application (which currently averages 0.0) industry. This indicator is about the same for all United States stocks average (which is currently at 0.0).
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Agent Fundamentals
| Return On Equity | -0.0339 | |||
| Return On Asset | -0.0367 | |||
| Profit Margin | (0.02) % | |||
| Operating Margin | (0.07) % | |||
| Current Valuation | 3.25 M | |||
| Shares Owned By Institutions | 0.76 % | |||
| Price To Earning | 22.75 X | |||
| Price To Book | 1.21 X | |||
| Price To Sales | 0.54 X | |||
| Revenue | 5.24 M | |||
| Gross Profit | 3.39 M | |||
| EBITDA | (260.66 K) | |||
| Net Income | 1.27 K | |||
| Cash And Equivalents | 2.14 M | |||
| Cash Per Share | 0.46 X | |||
| Debt To Equity | 0 % | |||
| Current Ratio | 1.58 X | |||
| Book Value Per Share | 0.79 X | |||
| Cash Flow From Operations | 1.09 M | |||
| Earnings Per Share | (0.02) X | |||
| Beta | 0.56 | |||
| Market Capitalization | 2.82 M | |||
| Total Asset | 4.17 M | |||
| Retained Earnings | (1.04 M) | |||
| Working Capital | (354 K) | |||
| Current Asset | 1.6 M | |||
| Current Liabilities | 1.95 M | |||
| Z Score | 1.0 | |||
| Annual Yield | 0.02 % |
About Agent Information Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Agent Information Software's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Agent Information using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Agent Information Software based on its fundamental data. In general, a quantitative approach, as applied to this company, focuses on analyzing financial statements comparatively, whereas a qaualitative method uses data that is important to a company's growth but cannot be measured and presented in a numerical way.
Please read more on our fundamental analysis page.
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Additional Tools for Agent Pink Sheet Analysis
When running Agent Information's price analysis, check to measure Agent Information's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Agent Information is operating at the current time. Most of Agent Information's value examination focuses on studying past and present price action to predict the probability of Agent Information's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Agent Information's price. Additionally, you may evaluate how the addition of Agent Information to your portfolios can decrease your overall portfolio volatility.