Agent Information Software Stock Probability Of Bankruptcy
| AIFS Stock | USD 1.35 0.10 8.00% |
Agent |
Agent Information Software Company probability of financial unrest Analysis
Agent Information's Probability Of Bankruptcy is a relative measure of the likelihood of financial distress. For stocks, the Probability Of Bankruptcy is the normalized value of Z-Score. For funds and ETFs, it is derived from a multi-factor model developed by Macroaxis. The score is used to predict the probability of a firm or a fund experiencing financial distress within the next 24 months. Unlike Z-Score, Probability Of Bankruptcy is the value between 0 and 100, indicating the firm's actual probability it will be financially distressed in the next 2 fiscal years.
More About Probability Of Bankruptcy | All Equity Analysis
Probability Of Bankruptcy | = | Normalized | | Z-Score |
Current Agent Information Probability Of Bankruptcy | Less than 34% |
Most of Agent Information's fundamental indicators, such as Probability Of Bankruptcy, are part of a valuation analysis module that helps investors searching for stocks that are currently trading at higher or lower prices than their real value. If the real value is higher than the market price, Agent Information Software is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.
Our calculation of Agent Information probability of bankruptcy is based on Altman Z-Score and Piotroski F-Score, but not limited to these measures. To be applied to a broader range of industries and markets, we use several other techniques to enhance the accuracy of predicting Agent Information odds of financial distress. These include financial statement analysis, different types of price predictions, earning estimates, analysis consensus, and basic intrinsic valuation. Please use the options below to get a better understanding of different measures that drive the calculation of Agent Information Software financial health.
The Probability of Bankruptcy SHOULD NOT be confused with the actual chance of a company to file for chapter 7, 11, 12, or 13 bankruptcy protection. Macroaxis simply defines Financial Distress as an operational condition where a company is having difficulty meeting its current financial obligations towards its creditors or delivering on the expectations of its investors. Macroaxis derives these conditions daily from both public financial statements as well as analysis of stock prices reacting to market conditions or economic downturns, including short-term and long-term historical volatility. Other factors taken into account include analysis of liquidity, revenue patterns, R&D expenses, and commitments, as well as public headlines and social sentiment.
| Competition |
Based on the latest financial disclosure, Agent Information Software has a Probability Of Bankruptcy of 34.0%. This is 15.97% lower than that of the Technology sector and significantly higher than that of the Software—Application industry. The probability of bankruptcy for all United States stocks is 14.64% higher than that of the company.
Agent Probability Of Bankruptcy Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses Agent Information's direct or indirect competition against its Probability Of Bankruptcy to detect undervalued stocks with similar characteristics or determine the pink sheets which would be a good addition to a portfolio. Peer analysis of Agent Information could also be used in its relative valuation, which is a method of valuing Agent Information by comparing valuation metrics of similar companies.Agent Information is currently under evaluation in probability of bankruptcy category among its peers.
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.