Krakatau Steel Persero Stock Probability Of Bankruptcy
| KRAS Stock | IDR 140.00 2.00 1.41% |
Krakatau |
Krakatau Steel Persero Company odds of financial distress Analysis
Krakatau Steel'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 Krakatau Steel Probability Of Bankruptcy | Less than 9% |
Most of Krakatau Steel'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, Krakatau Steel Persero is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.
Our calculation of Krakatau Steel 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 Krakatau Steel 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 Krakatau Steel Persero 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.
CompetitionBased on the latest financial disclosure, Krakatau Steel Persero has a Probability Of Bankruptcy of 9.0%. This is 79.7% lower than that of the Metals & Mining sector and significantly higher than that of the Materials industry. The probability of bankruptcy for all Indonesia stocks is 77.4% higher than that of the company.
Krakatau Probability Of Bankruptcy Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses Krakatau Steel's direct or indirect competition against its Probability Of Bankruptcy to detect undervalued stocks with similar characteristics or determine the stocks which would be a good addition to a portfolio. Peer analysis of Krakatau Steel could also be used in its relative valuation, which is a method of valuing Krakatau Steel by comparing valuation metrics of similar companies.Krakatau Steel is currently under evaluation in probability of bankruptcy category among related companies.
Krakatau Fundamentals
| Return On Equity | 0.17 | |||
| Return On Asset | 0.0127 | |||
| Profit Margin | 0.03 % | |||
| Operating Margin | 0.03 % | |||
| Current Valuation | 35.45 T | |||
| Shares Outstanding | 19.35 B | |||
| Shares Owned By Insiders | 80.03 % | |||
| Shares Owned By Institutions | 0.94 % | |||
| Price To Book | 0.69 X | |||
| Price To Sales | 2,688 X | |||
| Revenue | 2.16 B | |||
| Gross Profit | 205.42 M | |||
| EBITDA | 204.45 M | |||
| Net Income | 62.83 M | |||
| Total Debt | 1.48 B | |||
| Book Value Per Share | 0.03 X | |||
| Cash Flow From Operations | 119.89 M | |||
| Earnings Per Share | 39.42 X | |||
| Target Price | 964.4 | |||
| Number Of Employees | 5.06 K | |||
| Beta | 1.47 | |||
| Market Capitalization | 6.11 T | |||
| Total Asset | 3.77 B | |||
| Net Asset | 3.77 B |
About Krakatau Steel Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Krakatau Steel Persero's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Krakatau Steel using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Krakatau Steel Persero 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.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Krakatau Steel in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Krakatau Steel's short interest history, or implied volatility extrapolated from Krakatau Steel options trading.
Building efficient market-beating portfolios requires time, education, and a lot of computing power!
The Portfolio Architect is an AI-driven system that provides multiple benefits to our users by leveraging cutting-edge machine learning algorithms, statistical analysis, and predictive modeling to automate the process of asset selection and portfolio construction, saving time and reducing human error for individual and institutional investors.
Try AI Portfolio ArchitectCheck out Correlation Analysis to better understand how to build diversified portfolios. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in board of governors. You can also try the Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
Complementary Tools for Krakatau Stock analysis
When running Krakatau Steel's price analysis, check to measure Krakatau Steel'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 Krakatau Steel is operating at the current time. Most of Krakatau Steel's value examination focuses on studying past and present price action to predict the probability of Krakatau Steel's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Krakatau Steel's price. Additionally, you may evaluate how the addition of Krakatau Steel to your portfolios can decrease your overall portfolio volatility.
| Portfolio Dashboard Portfolio dashboard that provides centralized access to all your investments | |
| Fundamentals Comparison Compare fundamentals across multiple equities to find investing opportunities | |
| Commodity Directory Find actively traded commodities issued by global exchanges | |
| Portfolio Comparator Compare the composition, asset allocations and performance of any two portfolios in your account | |
| Technical Analysis Check basic technical indicators and analysis based on most latest market data | |
| ETF Categories List of ETF categories grouped based on various criteria, such as the investment strategy or type of investments |